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Anybody got Qwen2.5vl to work consistently?
| 1 |
I've been using it for only a few hours and I can tell its very accurate at screen captioning, detecting UI elements and displaying their coordinates in JSON format, but it has a bad habit of going on an endless loop. I'm using the 7b model Q8 and I've only prompted it to find all the UI elements on the screen, which it does, but it also gets stuck in an endless repetitive loop, generating the same UI elements/coordinates or looping in a pattern where it finds all of them then loops back in it again.
Next thing I know, the model's been looping for 3 minutes and I get a waterfall of repetitive UI element entries.
I've been trying to get it to become agentic by pairing it with Q3-4b-q8 as the action model that would select the UI element and interact with it, but the stability issues with Q2.5vl is a major roadblock. If I can get around that then I should have a basic agent working since that's pretty much the final piece of the puzzle.
| 2025-05-19T13:41:30 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqbzr2/anybody_got_qwen25vl_to_work_consistently/
|
swagonflyyyy
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqbzr2
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t3_1kqbzr2
|
/r/LocalLLaMA/comments/1kqbzr2/anybody_got_qwen25vl_to_work_consistently/
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self
| 1 | null |
Local OCR in mobile applications with React Native ExecuTorch
| 1 |
[removed]
| 2025-05-19T13:44:37 |
https://v.redd.it/7xh5woi5tq1f1
|
FinancialAd1961
|
v.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqc2b7
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|
t3_1kqc2b7
|
/r/LocalLLaMA/comments/1kqc2b7/local_ocr_in_mobile_applications_with_react/
| false | false | 1 |
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|
|
Best models for 24 and 32gb vram? 5 distinct tasks, using openwebui
| 1 |
Hello all I am setting up a personal openwbui setup for friends and family.
My plan is to mostly use 3090,but give access to 5090 when not gaming or doing other ai projects in comfy using a 2 server ollama setup. So the 32gb models might offer a bit more when the server is avail. But primary is running on 24gbvram 64gb sys ram
I want to setup 5 models maybe for these purposes:
1 General purpose - intended to replace chatgpt or gemini but local. Should be their general go to for most tasks. Thinking Qwen 3 32b, Gemma 27b, mistrial? Deepseek?
2. For voice chats(two way using kokorotts) thinking it should be faster in general and can be prompted to give answers conversation style. Not huge blocks or point form lists. Think 12b versions of above? Or lower?
3. Rp and limited uncensored. Not looking for criminal but want less pushback on things like medical advice or create image Gen prompts or stories that might be considered explicit by some models. Even Gemma refused to create an image prompt for Angelina Jolie in a bikini as tomb raider!
4. Coding I think I decided on Qwen 2.5 coder but correct me if I am wrong.
5. Image Gen to run on CPU thinking the smallest 1 or 3b Gemma. Just needs to feed prompts to comfyui, and enhance prompts when asked. Keep it in CPU to free up max vram for comfyui image or video gen
I don't want to overwhelm with models. Hopefully come to 1 for each purpose. I know it's a lot to ask hoping to get some help and maybe it can help others looking to do the same. My last question is should I be maxing out context length when possible, I noticed higher context length eats into vram where it doesn't seem to when loaded on CPU.
Any other thoughts on the best way to do my setup?
| 2025-05-19T14:16:18 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqcsv3/best_models_for_24_and_32gb_vram_5_distinct_tasks/
|
puppyjsn
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqcsv3
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t3_1kqcsv3
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/r/LocalLLaMA/comments/1kqcsv3/best_models_for_24_and_32gb_vram_5_distinct_tasks/
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self
| 1 | null |
Late-Night Study Lifesaver? Testing Out Ask AI from SolutionInn
| 1 |
[removed]
| 2025-05-19T14:47:26 |
[deleted]
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqdk6w
| false | null |
t3_1kqdk6w
|
/r/LocalLLaMA/comments/1kqdk6w/latenight_study_lifesaver_testing_out_ask_ai_from/
| false | false |
default
| 1 | null |
||
Creating a "learning" coding assistant
| 0 |
So I have recently started using Xcode to create an iPhone app. I have never had the patience for writing code, so I've been using Gemini and have actually come pretty far with my app. Basically I will provide it with my swift code for each file and then explain to it what my goal is and then go from there. I currently have LM Studio and AnythingLLM installed on my M4 Pro Mac mini and was curious if anyone had any recommendations as to if it is possible and if so how, I can "train" a model so that I do not have to recall my code every time I come back and need to work on a new feature. I get to a point where Gemini will begin hallucinating and going in circles. So I have to start a new chat and explain everything all over again each time. Is it possible to take each chat, store them into a database and recall them in the future so as to "teach" the llm how my app works and making it easier to assist when making changes or updates to my app? I apologize for my ignorance.
| 2025-05-19T14:48:40 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqdl9o/creating_a_learning_coding_assistant/
|
xkrist0pherx
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqdl9o
| false | null |
t3_1kqdl9o
|
/r/LocalLLaMA/comments/1kqdl9o/creating_a_learning_coding_assistant/
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self
| 0 | null |
How to get ethical approval for research as an independent researcher?
| 1 |
[removed]
| 2025-05-19T14:57:46 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqdt3x/how_to_get_ethical_approval_for_research_as_an/
|
TrainingCultural7548
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqdt3x
| false | null |
t3_1kqdt3x
|
/r/LocalLLaMA/comments/1kqdt3x/how_to_get_ethical_approval_for_research_as_an/
| false | false |
self
| 1 | null |
SFT with 8-bit quants or Mixed precision
| 1 |
[removed]
| 2025-05-19T15:04:35 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqdze0/sft_with_8bit_quants_or_mixed_precision/
|
Circumstancision
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqdze0
| false | null |
t3_1kqdze0
|
/r/LocalLLaMA/comments/1kqdze0/sft_with_8bit_quants_or_mixed_precision/
| false | false |
self
| 1 | null |
Best Non-Chinese Open Reasoning LLMs atm?
| 0 |
So before the inevitable comes up, yes I know that there isn't really much harm in running Qwen or Deepseek locally, but unfortunately bureaucracies gonna bureaucracy. I've been told to find a non Chinese LLM to use both for (yes, silly) security concerns and (slightly less silly) censorship concerns
I know Gemma is pretty decent as a direct LLM but also know it wasn't trained with reasoning capabilities. I've already tried Phi-4 Reasoning but honestly it was using up a ridiculous number of tokens as it got stuck thinking in circles
I was wondering if anyone was aware of any non Chinese open models with good reasoning capabilities?
| 2025-05-19T15:28:09 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqekgh/best_nonchinese_open_reasoning_llms_atm/
|
ProbaDude
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqekgh
| false | null |
t3_1kqekgh
|
/r/LocalLLaMA/comments/1kqekgh/best_nonchinese_open_reasoning_llms_atm/
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self
| 0 | null |
OS/Software for running an LLM Server AND Gaming?
| 0 |
I've done research on the hardware, but a bit confused on the software.
I want to build a PC that I can access remotely to run LLM inference as well as do some single-player gaming over moonlight streaming. Ideally with Wake-on-Lan to reduce power consumption.
1. Would Windows or Linux be the better choice here? (I already use Arch on my laptop). Or dual booting perhaps? Is Proxmox viable here?
2. I am planning on going dual GPUs, does my OS choice limit what GPU I can get? (e.g. Intel does better on Windows from what I read, at least for gaming).
3. I already did some investigating and will use Tailscale with Llama.cpp/Ollama OpenWebUI. Thoughts?
| 2025-05-19T15:59:07 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqfbxl/ossoftware_for_running_an_llm_server_and_gaming/
|
legit_split_
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqfbxl
| false | null |
t3_1kqfbxl
|
/r/LocalLLaMA/comments/1kqfbxl/ossoftware_for_running_an_llm_server_and_gaming/
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self
| 0 | null |
I'm trying to create a lightweight LLM with limited context window using only MLP layers
| 6 |
This is an ambitious and somewhat unconventional challenge, but I'm fascinated by the idea of exploring the limits of what pure feed-forward networks can achieve in language modeling, especially for highly resource-constrained environments. The goal is to build something incredibly efficient, perhaps for edge devices or applications where even a minimal attention layer is too computationally expensive.
I'm currently brainstorming initial approaches,
I'd love to get ideas from other people who might have explored similar uncharted territories or have insights into the fundamental capabilities of MLPs for sequential tasks.
Has anyone encountered or experimented with MLP-only architectures for tasks that traditionally use RNNs or Transformers?
Are there any lesser-known papers, theoretical concepts, or forgotten neural network architectures that might offer a foundational understanding or a starting point for this?
What creative ways can an MLP learn sequential dependencies or contextual information in a very limited window without relying on attention or traditional recurrence?
Any thoughts on how to structure the input representation, the MLP layers, or the training process to maximize efficiency and achieve some level of coherence?
Let's brainstorm some outside-the-box solutions
| 2025-05-19T16:18:49 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqftyo/im_trying_to_create_a_lightweight_llm_with/
|
tagrib
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqftyo
| false | null |
t3_1kqftyo
|
/r/LocalLLaMA/comments/1kqftyo/im_trying_to_create_a_lightweight_llm_with/
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self
| 6 | null |
Local speech chat with Gemma3, speaking like a polyglot with multiple-personalities
| 20 |
Low-latency, speech-to(text-to)-speech conversation in any Linux window:
[Demo video here](https://github.com/QuantiusBenignus/BlahST/blob/main/SPEECH-CHAT.md)
This is **blahstbot**, part of the UI-less, text-in-any-window, BlahST for Linux.
| 2025-05-19T16:19:07 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqfu8l/local_speech_chat_with_gemma3_speaking_like_a/
|
QuantuisBenignus
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
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1kqfu8l
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t3_1kqfu8l
|
/r/LocalLLaMA/comments/1kqfu8l/local_speech_chat_with_gemma3_speaking_like_a/
| false | false |
self
| 20 |
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|
Drummer's Valkyrie 49B v1 - A strong, creative finetune of Nemotron 49B
| 70 | 2025-05-19T17:00:51 |
https://huggingface.co/TheDrummer/Valkyrie-49B-v1
|
TheLocalDrummer
|
huggingface.co
| 1970-01-01T00:00:00 | 0 |
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1kqgwh2
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t3_1kqgwh2
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|
||
MLX LM now integrated within Hugging Face
| 62 |
thread: [https://x.com/victormustar/status/1924510517311287508](https://x.com/victormustar/status/1924510517311287508)
| 2025-05-19T17:09:53 |
https://v.redd.it/bvoizhqstr1f1
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paf1138
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v.redd.it
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t3_1kqh56l
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/r/LocalLLaMA/comments/1kqh56l/mlx_lm_now_integrated_within_hugging_face/
| false | false | 62 |
{'enabled': False, 'images': [{'id': 'ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=108&crop=smart&format=pjpg&auto=webp&s=7875c6af7879db14178f5696692eb7035b104563', 'width': 108}, {'height': 126, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=216&crop=smart&format=pjpg&auto=webp&s=de61facedf484a2580435e0fc301095bbfd9ffef', 'width': 216}, {'height': 187, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=320&crop=smart&format=pjpg&auto=webp&s=861b41a52c01190b9bcd0652472727c25eaebdae', 'width': 320}, {'height': 374, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=640&crop=smart&format=pjpg&auto=webp&s=2bc966abd8bfb9473eb6b0c25af72258703657e2', 'width': 640}, {'height': 561, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=960&crop=smart&format=pjpg&auto=webp&s=4811a985457f96c92a3cf5ee957ced271f5149a6', 'width': 960}, {'height': 631, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?width=1080&crop=smart&format=pjpg&auto=webp&s=4aa25c3ccb44cc1b2413cdbf982665eaf00eab16', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://external-preview.redd.it/ejhyMW5ocXN0cjFmMeXek4ObJQU75YpzzSznbvZU2j6Nva4vduBEs8qjugv3.png?format=pjpg&auto=webp&s=468b4237d19c2081cb3b2028b9bccff445df20cf', 'width': 1848}, 'variants': {}}]}
|
|
Does Star Trek universe do mostly "vibe coding"?
| 1 |
[removed]
| 2025-05-19T17:12:40 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqh7rz/does_star_trek_universe_do_mostly_vibe_coding/
|
derekp7
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqh7rz
| false | null |
t3_1kqh7rz
|
/r/LocalLLaMA/comments/1kqh7rz/does_star_trek_universe_do_mostly_vibe_coding/
| false | false |
self
| 1 | null |
Local LLMs show-down: More than 20 LLMs and one single Prompt
| 6 |
I became really curious about how far I could push LLMs and asked GPT-4o to help me craft a prompt that would make the models work really hard.
Then I ran the same prompt through a selection of LLMs on my hardware along with a few commercial models for reference.
You can read the results on my blog [https://blog.kekepower.com/blog/2025/may/19/the\_2025\_polymath\_llm\_show-down\_how\_twenty%E2%80%91two\_models\_fared\_under\_a\_single\_grueling\_prompt.html](https://blog.kekepower.com/blog/2025/may/19/the_2025_polymath_llm_show-down_how_twenty%E2%80%91two_models_fared_under_a_single_grueling_prompt.html)
| 2025-05-19T17:15:55 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqharr/local_llms_showdown_more_than_20_llms_and_one/
|
kekePower
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqharr
| false | null |
t3_1kqharr
|
/r/LocalLLaMA/comments/1kqharr/local_llms_showdown_more_than_20_llms_and_one/
| false | false |
self
| 6 | null |
A Machine Gun in the Land of Sticks and Stones
| 1 |
[removed]
| 2025-05-19T17:17:33 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqhc9w/a_machine_gun_in_the_land_of_sticks_and_stones/
|
_redacted-
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqhc9w
| false | null |
t3_1kqhc9w
|
/r/LocalLLaMA/comments/1kqhc9w/a_machine_gun_in_the_land_of_sticks_and_stones/
| false | false |
self
| 1 |
{'enabled': False, 'images': [{'id': 'JdBt9k1bXwExyyrZ-OhRp27TypSYkF5YaPpUMhEpsXw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=108&crop=smart&auto=webp&s=082269d9fc14ff59a612334f36b23e4ff8fc75a8', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=216&crop=smart&auto=webp&s=b256d7fa2813198785d156ced6e23472dc63b9e1', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=320&crop=smart&auto=webp&s=38da009cb71ec78f99c30faef7362482ea11ba42', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=640&crop=smart&auto=webp&s=23e4201586d6b72b2184a0bf0d073d8705488f78', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=960&crop=smart&auto=webp&s=3e4b8bb4123755d4d4678f1855c3c0528bbbf2b7', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?width=1080&crop=smart&auto=webp&s=09f7752265c4001a02b35a9593caa3ef4a94b1a2', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/lvmwDGS9MPRiZKL4EZcqjvZkcibg3uU1-7S5LJ5TJQY.jpg?auto=webp&s=63e9eca4290af750211c1cce276a83760ee124c6', 'width': 1200}, 'variants': {}}]}
|
THIS is the Most Important GPU of 2025
| 0 |
More details on the B60, the dual B60 with 48GB, software support, and pricing
| 2025-05-19T17:23:29 |
https://youtu.be/vZupIBqKHqM?si=dWxSNH2jzO-1qCLC
|
FullstackSensei
|
youtu.be
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqhhp8
| false |
{'oembed': {'author_name': 'Linus Tech Tips', 'author_url': 'https://www.youtube.com/@LinusTechTips', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/vZupIBqKHqM?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="THIS is the Most Important GPU of 2025"></iframe>', 'provider_name': 'YouTube', 'provider_url': 'https://www.youtube.com/', 'thumbnail_height': 360, 'thumbnail_url': 'https://i.ytimg.com/vi/vZupIBqKHqM/hqdefault.jpg', 'thumbnail_width': 480, 'title': 'THIS is the Most Important GPU of 2025', 'type': 'video', 'version': '1.0', 'width': 356}, 'type': 'youtube.com'}
|
t3_1kqhhp8
|
/r/LocalLLaMA/comments/1kqhhp8/this_is_the_most_important_gpu_of_2025/
| false | false | 0 |
{'enabled': False, 'images': [{'id': 'hqX1XJPzsut6Pu5b5L2iprNjn5AigAFUIBDoGZv-orY', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/avbb0bdxIyVexvXRXN65rlN0Aut6hfd4goOHVixsfP8.jpg?width=108&crop=smart&auto=webp&s=cb692f0197a11b2f180845081cc6c2a0d8836b46', 'width': 108}, {'height': 162, 'url': 'https://external-preview.redd.it/avbb0bdxIyVexvXRXN65rlN0Aut6hfd4goOHVixsfP8.jpg?width=216&crop=smart&auto=webp&s=c6aa2472af8698372b2386e43990ce9fc19ae9e5', 'width': 216}, {'height': 240, 'url': 'https://external-preview.redd.it/avbb0bdxIyVexvXRXN65rlN0Aut6hfd4goOHVixsfP8.jpg?width=320&crop=smart&auto=webp&s=10217b99f10eb4ba908bacb6fb38a5c96ba3d893', 'width': 320}], 'source': {'height': 360, 'url': 'https://external-preview.redd.it/avbb0bdxIyVexvXRXN65rlN0Aut6hfd4goOHVixsfP8.jpg?auto=webp&s=00199d6cfeff580454728ade86331cf8339a9e57', 'width': 480}, 'variants': {}}]}
|
|
VS Code: Open Source Copilot
| 237 |
What do you think of this move by Microsoft? Is it just me, or are the possibilities endless? We can build customizable IDEs with an entire company’s tech stack by integrating MCPs on top, without having to build everything from scratch.
| 2025-05-19T17:27:31 |
https://code.visualstudio.com/blogs/2025/05/19/openSourceAIEditor
|
DonTizi
|
code.visualstudio.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqhljr
| false | null |
t3_1kqhljr
|
/r/LocalLLaMA/comments/1kqhljr/vs_code_open_source_copilot/
| false | false | 237 |
{'enabled': False, 'images': [{'id': 'gI5UNbMliL5WbCNvXlrvhhJCFfPhXA7cvuQQB4dfGDg', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=108&crop=smart&auto=webp&s=d3f7da257b92799305872c9c552e30115cbf8f02', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=216&crop=smart&auto=webp&s=f3615e548731e6a0295c13d5f29a8158d407ef08', 'width': 216}, {'height': 180, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=320&crop=smart&auto=webp&s=ac57c398076bf831bb3f3e3432a263d1c3d76f8c', 'width': 320}, {'height': 360, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=640&crop=smart&auto=webp&s=717dd6dca05edfe21ffc3b5167abc2a06a881f81', 'width': 640}, {'height': 540, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=960&crop=smart&auto=webp&s=f7686727c919bc6b72fe73811cdeb83401c02524', 'width': 960}, {'height': 607, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?width=1080&crop=smart&auto=webp&s=2da074391e51e1d5db3d69c39efb5cdb172b76c7', 'width': 1080}], 'source': {'height': 720, 'url': 'https://external-preview.redd.it/7Ri8YRwu_7FpWFvmcgOzjF960jd6eY_pMWtoGfUyNOA.jpg?auto=webp&s=87fc0fcc9e7907bc9457c32cdc9f74b47626415c', 'width': 1280}, 'variants': {}}]}
|
|
Microsoft On-Device AI Local Foundry (Windows & Mac)
| 30 | 2025-05-19T17:46:57 |
https://devblogs.microsoft.com/foundry/unlock-instant-on-device-ai-with-foundry-local/
|
AngryBirdenator
|
devblogs.microsoft.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqi3m0
| false | null |
t3_1kqi3m0
|
/r/LocalLLaMA/comments/1kqi3m0/microsoft_ondevice_ai_local_foundry_windows_mac/
| false | false |
default
| 30 |
{'enabled': False, 'images': [{'id': 'GXOYCqFmllQ_joNo6QYadF6Vo4ZZQrLzaZTuxX3dRUE', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=108&crop=smart&auto=webp&s=e7cfd488b1326c8819d404cff7c0d6d95cbafacb', 'width': 108}, {'height': 123, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=216&crop=smart&auto=webp&s=20cf7a555ad70307526390fb02fe60aaf22635b7', 'width': 216}, {'height': 183, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=320&crop=smart&auto=webp&s=42b29f920be36463bf430c01d65b819f0536e6fa', 'width': 320}, {'height': 366, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=640&crop=smart&auto=webp&s=9fdb1d3bcf87ad29b196536b22c8576e153d5560', 'width': 640}, {'height': 549, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=960&crop=smart&auto=webp&s=70ec3948e7ca0edab73c1917fe26817dbc2bc57b', 'width': 960}, {'height': 617, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?width=1080&crop=smart&auto=webp&s=8c3a115183f30bda12b933e4c8d1d13299368c61', 'width': 1080}], 'source': {'height': 1430, 'url': 'https://external-preview.redd.it/s7HfWyX7uW6coTKNdAxswziHueC-nss9O7Clu8I3zyI.jpg?auto=webp&s=f5f12a22eb3d47041d91dd0b6f4ec725b6959ef3', 'width': 2500}, 'variants': {}}]}
|
|
Low-Cost GPU Hosting for AI Models & Apps
| 1 |
[removed]
| 2025-05-19T17:54:03 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqiaam/lowcost_gpu_hosting_for_ai_models_apps/
|
PrettyRevolution1842
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqiaam
| false | null |
t3_1kqiaam
|
/r/LocalLLaMA/comments/1kqiaam/lowcost_gpu_hosting_for_ai_models_apps/
| false | false |
self
| 1 | null |
Global Agent Hackathon by Agno is live! ($25k in total prizes)
| 1 |
[removed]
| 2025-05-19T18:15:37 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqiuog/global_agent_hackathon_by_agno_is_live_25k_in/
|
superconductiveKyle
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqiuog
| false | null |
t3_1kqiuog
|
/r/LocalLLaMA/comments/1kqiuog/global_agent_hackathon_by_agno_is_live_25k_in/
| false | false |
self
| 1 |
{'enabled': False, 'images': [{'id': 'gja_zmWrbMqADHtjzbX5Ke-UtNyuew-F59tTPxLmBDY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=108&crop=smart&auto=webp&s=50b28015ec3b4747548ddb6053f1738999bc7d2c', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=216&crop=smart&auto=webp&s=a2d62c1493205505a8e9379b08dc7212554df891', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=320&crop=smart&auto=webp&s=2aac9090fb3d84f150b12292c86aa50565701cce', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=640&crop=smart&auto=webp&s=af8458e69096bc82137ed14415c3129ae9f6faaa', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=960&crop=smart&auto=webp&s=e7f9e8e23c8b0e55b4a031e166f4f9598a6f9ac7', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=1080&crop=smart&auto=webp&s=7cac9eaede89081662b6cfe7c03716964de5d083', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?auto=webp&s=90823454b5123a15303e48e1500dfd4440f61f04', 'width': 1200}, 'variants': {}}]}
|
Evaluating the best models at translating German - open models beat DeepL!
| 47 | 2025-05-19T18:17:55 |
https://nuenki.app/blog/best_language_models_for_german_translation
|
Nuenki
|
nuenki.app
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqiwu2
| false | null |
t3_1kqiwu2
|
/r/LocalLLaMA/comments/1kqiwu2/evaluating_the_best_models_at_translating_german/
| false | false | 47 |
{'enabled': False, 'images': [{'id': 'sl5AWBXJbnd8seHGhHam-my2xN8-2MTiLgaFFv_9VgQ', 'resolutions': [{'height': 59, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=108&crop=smart&auto=webp&s=79a054dd227c6f5432f86d0aad2f733d56deb387', 'width': 108}, {'height': 118, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=216&crop=smart&auto=webp&s=36d6fa0f550c1aa87b8842476a42ab5e7983d775', 'width': 216}, {'height': 175, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=320&crop=smart&auto=webp&s=a9e59b0b9832d1d263060216c6712ab86736cf73', 'width': 320}, {'height': 351, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=640&crop=smart&auto=webp&s=33bb3dd09e1348f194cfb304ced2dd662da82a0f', 'width': 640}, {'height': 527, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=960&crop=smart&auto=webp&s=b61c5111ebbc99dd0da8775eb45acd9ee039349d', 'width': 960}, {'height': 593, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?width=1080&crop=smart&auto=webp&s=c4871bfcc51572f134a18d7c42ca6e7ba566fac5', 'width': 1080}], 'source': {'height': 2096, 'url': 'https://external-preview.redd.it/DtSOjZDQhCIQrR9MXzfYsDwli-PvO8iAuPXRBhYivls.jpg?auto=webp&s=068fb20ca78df0694ec410b05a2982f47c0ae5d0', 'width': 3811}, 'variants': {}}]}
|
||
Global Agent Hackathon by Agno is live!
| 1 |
[removed]
| 2025-05-19T18:18:28 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqixb3/global_agent_hackathon_by_agno_is_live/
|
superconductiveKyle
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqixb3
| false | null |
t3_1kqixb3
|
/r/LocalLLaMA/comments/1kqixb3/global_agent_hackathon_by_agno_is_live/
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self
| 1 |
{'enabled': False, 'images': [{'id': 'gja_zmWrbMqADHtjzbX5Ke-UtNyuew-F59tTPxLmBDY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=108&crop=smart&auto=webp&s=50b28015ec3b4747548ddb6053f1738999bc7d2c', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=216&crop=smart&auto=webp&s=a2d62c1493205505a8e9379b08dc7212554df891', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=320&crop=smart&auto=webp&s=2aac9090fb3d84f150b12292c86aa50565701cce', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=640&crop=smart&auto=webp&s=af8458e69096bc82137ed14415c3129ae9f6faaa', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=960&crop=smart&auto=webp&s=e7f9e8e23c8b0e55b4a031e166f4f9598a6f9ac7', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?width=1080&crop=smart&auto=webp&s=7cac9eaede89081662b6cfe7c03716964de5d083', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/IXNaAltUSQCDxp9493QiOnVFQu1k_3prNcIMNvoPcxo.jpg?auto=webp&s=90823454b5123a15303e48e1500dfd4440f61f04', 'width': 1200}, 'variants': {}}]}
|
Looking for a 8b param to run with my data set for an AI personal assistant
| 2 |
I want to train an open source LLM on my own data (alr cleaned it and have everything right)
I want to run one version on the cloud and one version on my own computer. What is the best current open source model to use?
| 2025-05-19T18:51:22 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqjrwi/looking_for_a_8b_param_to_run_with_my_data_set/
|
jinstronda
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqjrwi
| false | null |
t3_1kqjrwi
|
/r/LocalLLaMA/comments/1kqjrwi/looking_for_a_8b_param_to_run_with_my_data_set/
| false | false |
self
| 2 | null |
CoT stress question 🥵
| 1 |
Test your CoT llm with this question,enjoy! Imagine a perfectly spherical, frictionless planet entirely covered in a uniform layer of perfectly incompressible water. If a single drop of the same water is gently placed on the surface of this planet, describe in detail what will happen immediately and over time, considering all relevant physical principles. Explain your reasoning step-by-step.
| 2025-05-19T19:06:20 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqk61c/cot_stress_question/
|
Illustrious-Dot-6888
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqk61c
| false | null |
t3_1kqk61c
|
/r/LocalLLaMA/comments/1kqk61c/cot_stress_question/
| false | false |
self
| 1 | null |
Be confident in your own judgement and reject benchmark JPEG's
| 153 | 2025-05-19T19:18:50 |
ForsookComparison
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqkhhy
| false | null |
t3_1kqkhhy
|
/r/LocalLLaMA/comments/1kqkhhy/be_confident_in_your_own_judgement_and_reject/
| false | false | 153 |
{'enabled': True, 'images': [{'id': '6A5BTmsryZQPa86Z2YPhIomn-HK78IYNxudaudPaWTo', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?width=108&crop=smart&auto=webp&s=ccb4e8acb070a5b80b5e80743c1fdbc4d71fe9ba', 'width': 108}, {'height': 325, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?width=216&crop=smart&auto=webp&s=16e4d1fd78f9a106c26daee59792ecf2b2aab681', 'width': 216}, {'height': 482, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?width=320&crop=smart&auto=webp&s=866fd40b0a9427bdcc0f939dd54caf7a9e78856b', 'width': 320}, {'height': 965, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?width=640&crop=smart&auto=webp&s=9a71e631166bd010fd1e72d10e1ef80ceda179b6', 'width': 640}, {'height': 1448, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?width=960&crop=smart&auto=webp&s=54a4564518b9e1a7d68c28f4a192b97aa8d97ecf', 'width': 960}], 'source': {'height': 1516, 'url': 'https://preview.redd.it/1wtj3q6ngs1f1.jpeg?auto=webp&s=718cc86d8f7a789b5df91fdfa1484e207e905a4d', 'width': 1005}, 'variants': {}}]}
|
|||
Has anyone here used a modded 22gb Rtx 2080 ti
| 2 |
I saw that you can buy these on eBay for about 500
| 2025-05-19T19:51:10 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqlbdz/has_anyone_here_used_a_modded_22gb_rtx_2080_ti/
|
Responsible-Bad5572
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqlbdz
| false | null |
t3_1kqlbdz
|
/r/LocalLLaMA/comments/1kqlbdz/has_anyone_here_used_a_modded_22gb_rtx_2080_ti/
| false | false |
self
| 2 | null |
Dell Unveils The Integration of NVIDIA’s GB300 “Blackwell Ultra” GPUs With Its AI Factories, Taking Performance & Scalability to New Levels
| 0 | 2025-05-19T19:52:59 |
https://wccftech.com/dell-unveils-the-integration-of-nvidia-blackwell-ultra-gpus-with-its-ai-factories/
|
_SYSTEM_ADMIN_MOD_
|
wccftech.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqld0g
| false | null |
t3_1kqld0g
|
/r/LocalLLaMA/comments/1kqld0g/dell_unveils_the_integration_of_nvidias_gb300/
| false | false | 0 |
{'enabled': False, 'images': [{'id': 'I2Q5ilSW15uBQAphbtRAAaiOKe9DpBubFURvebdnZDE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=108&crop=smart&auto=webp&s=d5f86bbf1fdb9048f714a9de4202c303e07bd898', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=216&crop=smart&auto=webp&s=230bea685565fad73905045646db4ee4abb5bf62', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=320&crop=smart&auto=webp&s=f7acdf764955dc6a07d5fafe6ed5f620b8462069', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=640&crop=smart&auto=webp&s=34b9f695f9e890862f09bb39514bc38ebe47b6ad', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=960&crop=smart&auto=webp&s=7b2e77651e6229d16ebdfb57dd847d4d8e548aca', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?width=1080&crop=smart&auto=webp&s=e34de8da8827a9c05c1eb668b68aa760702ecbe5', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/frFfGHzX6yewr1UOids_2L87YHO6yflQPShTpGYNUQA.jpg?auto=webp&s=429dfe420e878f73273dfd99f590aa98aae82aa7', 'width': 1200}, 'variants': {}}]}
|
||
👀 Microsoft just created an MCP Registry for Windows
| 261 | 2025-05-19T20:12:32 |
eternviking
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqluy9
| false | null |
t3_1kqluy9
|
/r/LocalLLaMA/comments/1kqluy9/microsoft_just_created_an_mcp_registry_for_windows/
| false | false | 261 |
{'enabled': True, 'images': [{'id': '-JYFo0kmQAmGOQ9kBV2QFjgMdtV4ZTZ4Cz6FHWcvAdM', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=108&crop=smart&auto=webp&s=f19758a78d1b93823d64f553e78020268022aa38', 'width': 108}, {'height': 116, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=216&crop=smart&auto=webp&s=e00061ddd512ad8fc918cf69723895c8cef09222', 'width': 216}, {'height': 172, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=320&crop=smart&auto=webp&s=4c99a815baba85bf825d73001790b2019ca1c056', 'width': 320}, {'height': 345, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=640&crop=smart&auto=webp&s=3580c11b0dace946cb1f140d2732484fdb0916e4', 'width': 640}, {'height': 517, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=960&crop=smart&auto=webp&s=1b8190c3bc3e588f283a8bbe50e62ec04406da31', 'width': 960}, {'height': 582, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?width=1080&crop=smart&auto=webp&s=63ec4ccb196535f1f465108291a132c250d7fc35', 'width': 1080}], 'source': {'height': 1552, 'url': 'https://preview.redd.it/6lwf9y6eqs1f1.png?auto=webp&s=7dae8558b60e2f9711cf4bce43b49f733526f1f0', 'width': 2878}, 'variants': {}}]}
|
|||
Local LLM based chatbot for habit datapoint storage /recall
| 1 |
[removed]
| 2025-05-19T20:34:00 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqmesj/local_llm_based_chatbot_for_habit_datapoint/
|
Altruistic-Finger-12
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqmesj
| false | null |
t3_1kqmesj
|
/r/LocalLLaMA/comments/1kqmesj/local_llm_based_chatbot_for_habit_datapoint/
| false | false |
self
| 1 | null |
ELO Score in Chatbot Arena Over Time (Graph + Data)
| 0 |
Hey everyone!
I've been trying for a while to find data to create a **graph showing the ELO evolution of LLM models in Chatbot Arena over time**. But since LMSYS doesn't publish when each model was added, I decided to take matters into my own hands and manually create a **dataset that tracked down the release dates for each model along with the ELO score and parameter sizes**. (I tried using DeepResearch, but it kept making up dates, so I went old-school.)
Here’s the graph:
[ELO Score in Chatbot Arena Over Time](https://preview.redd.it/czcasz2xys1f1.png?width=2914&format=png&auto=webp&s=0ca7b0e938e91e145ae16d87fb739d8dd164a225)
**Notes**:
1- As a general rule, for the "initial public release" date, I used the official date when the model was announced as publicly available. When this date wasn’t clear, I fell back on the earliest source (blog post, tweet, GitHub, HuggingFace commit, etc.). I also included a field for the model’s parameters (known, estimated, or n/a).
2- I might’ve gotten some dates wrong, so I’m sharing the raw data for you to check and correct if needed => [Link to data](https://docs.google.com/spreadsheets/d/e/2PACX-1vSt1XzEjyOGyq_wXlOYBkFPs_d717Jv4ycLwT24VRvDJWuv34TUH4c8cp-7bfveMDXwEgWJ0Xd_neQs/pub?output=csv).
Let me know what you think or if you spot any mistakes!
| 2025-05-19T21:02:22 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqn4mm/elo_score_in_chatbot_arena_over_time_graph_data/
|
coconautico
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqn4mm
| false | null |
t3_1kqn4mm
|
/r/LocalLLaMA/comments/1kqn4mm/elo_score_in_chatbot_arena_over_time_graph_data/
| false | false | 0 | null |
|
A person can dream,
| 0 |
512bit x 4gb_gddr7(32Gbps) x dual-pcb x clamshell
= bandwidth: 2048GBps, momery: 256GB
If we can get it for less than 2999USD before 2027,
| 2025-05-19T21:24:35 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqnofx/a_person_can_dream/
|
Optifnolinalgebdirec
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqnofx
| false | null |
t3_1kqnofx
|
/r/LocalLLaMA/comments/1kqnofx/a_person_can_dream/
| false | false |
self
| 0 | null |
DiffusionBee v2.12 — Flux.1, Textual Inversion, NSFW Blocking & More (Mac-only)
| 5 |
We just shipped a new DiffusionBee update for all the Mac-wielding degenerates and offline-creatives in the room. (If you’re not on arm64 or at least macOS 13, go touch some grass and come back later.)
**🆕 What’s New:**
* Flux.1 model support (arm64, macOS 13+ only)
* Finally, yes, you can run Flux.1 natively. Scroll to the bottom of the app home screen and you’ll see the magic button.
* External Textual Inversion embeddings
* Got custom styles, LoRAs, weird txt2img hacks? Plug your own TI embeddings in. No gatekeeping.
* NSFW Image Blocker
* Accidentally type “hotdog” and generate the wrong kind of sausage? Block NSFW output with one click.
* Models Page is Not a Dumpster Fire Anymore
* Organize, find, and manage your models without wanting to uninstall your OS.
* Misc Bugfixes
* As always, we stomped some weird Mac bugs. If something is still broken, roast us here.
**Why bother?**
Honestly, because running local SD should not feel like assembling IKEA furniture in the dark. We’re still MIT licensed, 100% local, and open-source, so if you break something, you can probably fix it. No API keys. No telemetry. No “Pro” upgrade screens.
Would love some savage feedback, roast sessions, or wild feature requests (especially if you try Flux.1).
Try it out here - [https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/releases/tag/2.5.3](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/releases/tag/2.5.3)
| 2025-05-19T21:33:56 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqnwrv/diffusionbee_v212_flux1_textual_inversion_nsfw/
|
lostbutyoucanfollow
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqnwrv
| false | null |
t3_1kqnwrv
|
/r/LocalLLaMA/comments/1kqnwrv/diffusionbee_v212_flux1_textual_inversion_nsfw/
| false | false |
nsfw
| 5 |
{'enabled': False, 'images': [{'id': 'OD4XEbuRyY-yd21Goppk_3oXtEuwpye_LNo55Lmulrg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=108&crop=smart&auto=webp&s=30e34ad1a1780dca3c76d5f60fcfc622b85eb1c4', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=216&crop=smart&auto=webp&s=6a65768183cbcd36b6089579f1e1be582e8a564c', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=320&crop=smart&auto=webp&s=f9ac8eaa78da58b8e3879895f4b0e498acf3afa9', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=640&crop=smart&auto=webp&s=f76ceba16c90dbf71955c59a606772d02bd2e638', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=960&crop=smart&auto=webp&s=1694a9ef0580bcd5c5484ea9eaf40a7358a7b6c9', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=1080&crop=smart&auto=webp&s=75aabe408f1b7ebfe08759d183417bdf32c5bec7', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?auto=webp&s=82f6c6ff21e6d4af6b7201990e42914b0a239575', 'width': 1200}, 'variants': {'nsfw': {'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=108&crop=smart&blur=10&format=pjpg&auto=webp&s=cd948fcb461d4a2bb7405ec011b1620e09bdc447', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=216&crop=smart&blur=21&format=pjpg&auto=webp&s=659d8a3a2061efc6820bdbf3679ec1da77d6717d', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=320&crop=smart&blur=32&format=pjpg&auto=webp&s=482456ae2f3dbcaaae7d261a0a0b5a13c891d81e', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=640&crop=smart&blur=40&format=pjpg&auto=webp&s=643ab704bac89817cae594e2ba2db191690ac023', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=960&crop=smart&blur=40&format=pjpg&auto=webp&s=1727dbc25d24e82727f1a63d4df2cc06f3c54c99', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=1080&crop=smart&blur=40&format=pjpg&auto=webp&s=122bcf19cba8675a7f473cc70e2aebfe4aed7b9b', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?blur=40&format=pjpg&auto=webp&s=b3181ff15e7b0b72356ec14d74aca8dfd4364379', 'width': 1200}}, 'obfuscated': {'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=108&crop=smart&blur=10&format=pjpg&auto=webp&s=cd948fcb461d4a2bb7405ec011b1620e09bdc447', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=216&crop=smart&blur=21&format=pjpg&auto=webp&s=659d8a3a2061efc6820bdbf3679ec1da77d6717d', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=320&crop=smart&blur=32&format=pjpg&auto=webp&s=482456ae2f3dbcaaae7d261a0a0b5a13c891d81e', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=640&crop=smart&blur=40&format=pjpg&auto=webp&s=643ab704bac89817cae594e2ba2db191690ac023', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=960&crop=smart&blur=40&format=pjpg&auto=webp&s=1727dbc25d24e82727f1a63d4df2cc06f3c54c99', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?width=1080&crop=smart&blur=40&format=pjpg&auto=webp&s=122bcf19cba8675a7f473cc70e2aebfe4aed7b9b', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/L0qPfoDIGfF01WruFUdvYXL7Li8z9cxn9MQHPbDYJzU.jpg?blur=40&format=pjpg&auto=webp&s=b3181ff15e7b0b72356ec14d74aca8dfd4364379', 'width': 1200}}}}]}
|
Terminal-Bench: A new benchmark for AI agents in the terminal
| 1 |
[removed]
| 2025-05-19T22:03:07 |
http://tbench.ai
|
ombedrizoobo
|
tbench.ai
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqoltu
| false | null |
t3_1kqoltu
|
/r/LocalLLaMA/comments/1kqoltu/terminalbench_a_new_benchmark_for_ai_agents_in/
| false | false |
default
| 1 | null |
Best model to run on 8GB VRAM for coding?
| 3 |
I'd like to make use of my GeForce 1080 (8 GB VRAM) for assisting me with coding (C, Python, numerical physics simulations, GUIs, and ESP32 programming). Is there any useful model that'd be worth running?
I know I won't be running something cutting-edge but I could do with some help.
I can wait minutes for answers so speed is not critical, but I would like it to be reasonably reliable.
CPU would be i5-8xxx, RAM DDR4 16 GB but I can extend it up to 128 GB if need be. I also have a spare 750 Ti (2 GB VRAM) but I suppose it's not worth it...
I'm OK to fiddle with llama.cpp
Would investing in a 3060 16 GB drastically open perspectives?
Thanks !
| 2025-05-19T22:20:40 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqp0mm/best_model_to_run_on_8gb_vram_for_coding/
|
cosmoschtroumpf
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqp0mm
| false | null |
t3_1kqp0mm
|
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| false | false |
self
| 3 | null |
I added automatic language detection and text-to-speech response to AI Runner
| 9 | 2025-05-19T22:25:00 |
https://v.redd.it/of7p2tkzdt1f1
|
w00fl35
|
/r/LocalLLaMA/comments/1kqp46f/i_added_automatic_language_detection_and/
| 1970-01-01T00:00:00 | 0 |
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t3_1kqp46f
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/r/LocalLLaMA/comments/1kqp46f/i_added_automatic_language_detection_and/
| false | false | 9 |
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|
||
What are your dream use-cases for a totally local AI rig?
| 1 |
[removed]
| 2025-05-19T22:25:49 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqp4vk/what_are_your_dream_usecases_for_a_totally_local/
|
_redacted-
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqp4vk
| false | null |
t3_1kqp4vk
|
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| false | false |
self
| 1 |
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|
Building a Fully Local AI Rig on AMD Ryzen 9 — What Use-Cases Should I Focus On?
| 1 |
[removed]
| 2025-05-19T22:30:20 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqp8m5/building_a_fully_local_ai_rig_on_amd_ryzen_9_what/
|
_redacted-
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqp8m5
| false | null |
t3_1kqp8m5
|
/r/LocalLLaMA/comments/1kqp8m5/building_a_fully_local_ai_rig_on_amd_ryzen_9_what/
| false | false |
self
| 1 | null |
I got a Llama3.2b running on my pi and made it question its own existence endlessly
| 2 |
[removed]
| 2025-05-19T22:37:28 |
Dull-Pressure9628
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqpeam
| false | null |
t3_1kqpeam
|
/r/LocalLLaMA/comments/1kqpeam/i_got_a_llama32b_running_on_my_pi_and_made_it/
| false | false | 2 |
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|
||
Demo of Sleep-time Compute to Reduce LLM Response Latency
| 76 |
This is a demo of Sleep-time compute to reduce LLM response latency.
Link: [https://github.com/ronantakizawa/sleeptimecompute](https://github.com/ronantakizawa/sleeptimecompute)
Sleep-time compute improves LLM response latency by using the idle time between interactions to pre-process the context, allowing the model to think offline about potential questions before they’re even asked.
While regular LLM interactions involve the context processing to happen with the prompt input, Sleep-time compute already has the context loaded before the prompt is received, so it requires less time and compute for the LLM to send responses.
The demo demonstrates an average of 6.4x fewer tokens per query and 5.2x speedup in response time for Sleep-time Compute.
The implementation was based on the original paper from Letta / UC Berkeley.
| 2025-05-19T22:37:52 |
Ok_Employee_6418
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqpemo
| false | null |
t3_1kqpemo
|
/r/LocalLLaMA/comments/1kqpemo/demo_of_sleeptime_compute_to_reduce_llm_response/
| false | false | 76 |
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|
||
[R] [Q] Why does RoPE need to be decoupled in DeepSeek V2/V3's MLA? I don't get why it prevents prefix key reuse
| 1 |
[removed]
| 2025-05-19T23:15:43 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqq7vr/r_q_why_does_rope_need_to_be_decoupled_in/
|
gerrickle
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqq7vr
| false | null |
t3_1kqq7vr
|
/r/LocalLLaMA/comments/1kqq7vr/r_q_why_does_rope_need_to_be_decoupled_in/
| false | false |
self
| 1 | null |
Looking to collaborate with and get advice from a few experienced developers interested in AI augmented development
| 0 |
Hello! I’m a software engineer that’s been developing applications and infrastructure automation systems for over 20 years and I love it, and I am fixing to start a project that is meant to enhance my productivity and coding happiness by developing an architecture for a development platform that can support groups of collaborative AI agents that help with some of the more tedious aspects of development, such as:
\* QA and testing
\* Documentation and knowledge base development
\* Code and application optimization
\* Reporting
I use AI a lot for many different reasons. I have no desire to eliminate engineers but to enhance the engineers productivity when they don’t have a large team, particularly for maintaining open source projects with limited resources. I love programming and my goal with this project is to enhance my enjoyment of programming by allowing me to focus on those things I do best and love most. I want to have an army of digital assistants that can help with the things I am not good at or really don’t like doing.
My goal is to develop an open specification and other materials (not a proprietary service) that can be used by any individual developer to enhance their own process and build agents that collaborate to help the individual developer in unique ways. Even if I work alone I plan to have an initial specification and a basic MVP of such a system by the end of next month for my own efforts, but to ensure I have a well thought out architecture that can evolve from the start I’d really like to collaborate with a few others that are experienced developing preferably larger projects and with AI (bonus points for training models and abstract syntax tree parsing). While I want to implement this architecture myself, the goal behind the collaboration is to solidify an open architectural specification that can be adopted in many implementations.
Interested?
I’m a full stack engineer that mainly develops in Python and Javascript these days (my target languages for such a system). I build multi-agent systems and love AI and training models, and my goal is to ultimately fine tune models on my own code and create a system that is easy for others as well, so that smaller AI models can be used and evolve with the code base. I am fully committed to both creating an open architecture and an initial reference implementation.
If you are an experienced software engineer that also wants to enhance your productivity and general enjoyment of your craft (as opposed to trying to replace engineers), you would like to see the development of more open architectures for AI systems and you believe you have ideas that could be useful in such an endeavor I’d love to talk and possibly collaborate with you. You obviously also need to see value in AI augmentation in your own development efforts, and you need to believe in open source.
NOTE: I am not talking about vibe coding, or developing a single engineer bot (Devin, etc…), nor am I referring to a code editor (Cursor, etc…), or even AI development tools like Aider, but an architecture and project process that could be fully built on open technology or integrate other services and tools like those above. There are and will be a lot of tools being developed, but this question is what is the best process for building a virtual team around our engineering capabilities that can act concurrently and autonomously, so we can quickly release tested, documented, optimized code, while focusing our efforts on those areas we can make the most impact in the least amount of time.
REMINDER: My goal with this project is to develop and release an open architecture for a multi-agent collaborative development platform over the coming month, not create a proprietary service, not sell it, but something that can be leveraged by any developer regardless of their resources or associated organizations. Anyone could use the results to create or refine businesses or expand their own engineering capabilities.
| 2025-05-19T23:16:25 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqq8f6/looking_to_collaborate_with_and_get_advice_from_a/
|
awebb78
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqq8f6
| false | null |
t3_1kqq8f6
|
/r/LocalLLaMA/comments/1kqq8f6/looking_to_collaborate_with_and_get_advice_from_a/
| false | false |
self
| 0 | null |
Using your local Models to run Agents! (Open Source, 100% local)
| 29 | 2025-05-19T23:18:17 |
https://v.redd.it/5p9moal9nt1f1
|
Roy3838
|
v.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqq9t9
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|
t3_1kqq9t9
|
/r/LocalLLaMA/comments/1kqq9t9/using_your_local_models_to_run_agents_open_source/
| false | false | 29 |
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|
||
help with permissions
| 1 |
[removed]
| 2025-05-19T23:27:54 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqqh4l/help_with_permissions/
|
fazetag
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqqh4l
| false | null |
t3_1kqqh4l
|
/r/LocalLLaMA/comments/1kqqh4l/help_with_permissions/
| false | false |
self
| 1 | null |
I use LLama to apply to 10,000 software engineering jobs in 5 days.
| 66 |
No, I’m not desperate or unemployed. I just wanted to get a real feel for what the global tech job market looks like in 2025.
**Here’s the background on the profile I used:**
* Master’s degree in Computer Science from a top European university, graduated with honors
* 5 solid years at a FAANG company
* Fluent in English, open to relocating or remote work
* Strong skills in Python, React, AWS, and systems thinking
Basically, a pretty solid candidate. Nothing unusual, nothing risky.
**And I didn’t mass-blast a generic CV.**
I used [**laboro.co**](http://laboro.co/)(llama based) to personalize all 10,000 CVs and cover letters based on each job description.
Every application was custom-tailored using Laboro's AI agent and applied automatically.
Here are the results:
|Country|Applications|Human Interviews|AI Interviews|Assessments|Rejected|Ghosted|
|:-|:-|:-|:-|:-|:-|:-|
||
|USA|1,974|4|5|12|733|1,220|
|UK|1,449|2|4|12|480|951|
|Canada|989|2|3|7|365|612|
|Germany|914|1|3|3|330|577|
|France|795|1|2|6|240|546|
|India|727|0|2|4|290|431|
|Australia|611|0|2|3|220|386|
|Netherlands|516|0|2|3|198|313|
|Spain|404|0|1|2|166|235|
|Sweden|317|0|1|1|148|167|
|Remote|2,371|3|8|14|1,011|1,335|
**Definitions:**
* **Human interviews:** The rare moments when you actually get to speak with a recruiter or team member.
* **AI interviews:** Automated screenings with no human involvement.
* **Assessments:** Coding tests or challenges sent before any conversation.
* **Rejected:** Formal “no” responses.
* **Ghosted:** Nothing. Silence. The most common reply.
**The takeaway?**
If you’re applying and hearing nothing back, it’s not you. You’re not broken or invisible.
This is just how the hiring pipeline works in 2025, high noise, low signal.
Even with a strong profile and fully personalized applications, most of the time you won’t even get a response. So be kind to yourself, and remember: the system is flooded, not your value.
| 2025-05-19T23:49:41 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqqxbf/i_use_llama_to_apply_to_10000_software/
|
Elieroos
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqqxbf
| false | null |
t3_1kqqxbf
|
/r/LocalLLaMA/comments/1kqqxbf/i_use_llama_to_apply_to_10000_software/
| false | false |
self
| 66 |
{'enabled': False, 'images': [{'id': 'LisIUUGScx13mD-x3gFPv-giEc_OVliq9xdUF77fqKE', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=108&crop=smart&auto=webp&s=8e5f4eecb8f4e20584a0a45a6c7b3d80bca50562', 'width': 108}, {'height': 113, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=216&crop=smart&auto=webp&s=0bba062fe06cce12fc3d0c4cb2a0ea82abc7c266', 'width': 216}, {'height': 168, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=320&crop=smart&auto=webp&s=3ad6582619e3a7c3baeb4b3bc407f87a187c2336', 'width': 320}, {'height': 336, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=640&crop=smart&auto=webp&s=1b9a8da21d7a1b9b308c5828dbe6f6b7287068d6', 'width': 640}, {'height': 504, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=960&crop=smart&auto=webp&s=196ba9362a8c5c81bc99f396e5c4bd3401667518', 'width': 960}, {'height': 567, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?width=1080&crop=smart&auto=webp&s=f79588c44be17c9eae5cf5c5ccf4c0d9f77f0734', 'width': 1080}], 'source': {'height': 630, 'url': 'https://external-preview.redd.it/-p735bf3AY5ydtMxRmEXn9cm508xv_yLsoT9Fs_n6vQ.jpg?auto=webp&s=fa755a2de2b11728baa2d5e5dcd88171c0e5d4be', 'width': 1200}, 'variants': {}}]}
|
Reasoning Vision Language Model 12-24B?
| 2 |
I'm trying to find a reasoning vision language model from 12-24B. Ideally 24B...but all I can find is one or the other.
| 2025-05-20T00:00:08 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqr4t6/reasoning_vision_language_model_1224b/
|
thejacer
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqr4t6
| false | null |
t3_1kqr4t6
|
/r/LocalLLaMA/comments/1kqr4t6/reasoning_vision_language_model_1224b/
| false | false |
self
| 2 | null |
Looking for a high quality chat-dataset to mix with my reasoning datasets for fine-tuning
| 4 |
I'm looking for some good chat-datasets that we could mix with our reasoning datasets for fine-tuning.
Most of the ones i've seen on huggingface are very junky.
Curious what ours have found useful.
Thanks!
| 2025-05-20T00:15:39 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqrg9x/looking_for_a_high_quality_chatdataset_to_mix/
|
mutatedmonkeygenes
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqrg9x
| false | null |
t3_1kqrg9x
|
/r/LocalLLaMA/comments/1kqrg9x/looking_for_a_high_quality_chatdataset_to_mix/
| false | false |
self
| 4 | null |
How to Generate AI Images Locally on AMD RX 9070XT with ComfyUI + ZLUDA ...
| 1 | 2025-05-20T00:40:12 |
https://youtube.com/watch?v=U76ku-7AFV0&si=_RH1JRqbUig1Xo6q
|
Willow-Most
|
youtube.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqrxoa
| false |
{'oembed': {'author_name': 'TechChuckle', 'author_url': 'https://www.youtube.com/@TechChuckle', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/U76ku-7AFV0?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="How to Generate AI Images Locally on AMD RX 9070XT with ComfyUI + ZLUDA No NVIDIA Needed!"></iframe>', 'provider_name': 'YouTube', 'provider_url': 'https://www.youtube.com/', 'thumbnail_height': 360, 'thumbnail_url': 'https://i.ytimg.com/vi/U76ku-7AFV0/hqdefault.jpg', 'thumbnail_width': 480, 'title': 'How to Generate AI Images Locally on AMD RX 9070XT with ComfyUI + ZLUDA No NVIDIA Needed!', 'type': 'video', 'version': '1.0', 'width': 356}, 'type': 'youtube.com'}
|
t3_1kqrxoa
|
/r/LocalLLaMA/comments/1kqrxoa/how_to_generate_ai_images_locally_on_amd_rx/
| false | false | 1 |
{'enabled': False, 'images': [{'id': 'WJ8UKX7K8vfzsrR4TN_KtCaDmm7HOwlgJ77nJNFUxNU', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/EZB1aXpqO4QZ2FvNrgWoi8CUbNh6SLwX0x-K9OuAk8g.jpg?width=108&crop=smart&auto=webp&s=8c0cb41e8ec37eafb32762a98ab6102c714cc806', 'width': 108}, {'height': 162, 'url': 'https://external-preview.redd.it/EZB1aXpqO4QZ2FvNrgWoi8CUbNh6SLwX0x-K9OuAk8g.jpg?width=216&crop=smart&auto=webp&s=186639cfb084bbd4918f6e516bb80e6b4f11f77c', 'width': 216}, {'height': 240, 'url': 'https://external-preview.redd.it/EZB1aXpqO4QZ2FvNrgWoi8CUbNh6SLwX0x-K9OuAk8g.jpg?width=320&crop=smart&auto=webp&s=43cc05cfe40842ac13d9869694afc44c0210eed7', 'width': 320}], 'source': {'height': 360, 'url': 'https://external-preview.redd.it/EZB1aXpqO4QZ2FvNrgWoi8CUbNh6SLwX0x-K9OuAk8g.jpg?auto=webp&s=a9cbc5c24a7c346968253db7018966ac15cec190', 'width': 480}, 'variants': {}}]}
|
||
Help with local 3D model ?
| 1 |
[removed]
| 2025-05-20T01:23:33 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqsskl/help_with_local_3d_model/
|
Feeling-Buy12
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqsskl
| false | null |
t3_1kqsskl
|
/r/LocalLLaMA/comments/1kqsskl/help_with_local_3d_model/
| false | false |
self
| 1 | null |
Ultimate private AI suite
| 1 |
[removed]
| 2025-05-20T01:52:56 |
ConstanceDover
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqtdea
| false | null |
t3_1kqtdea
|
/r/LocalLLaMA/comments/1kqtdea/ultimate_private_ai_suite/
| false | false | 1 |
{'enabled': True, 'images': [{'id': 'lNjmKa7fhF-LWp8MtrbyxSPEmSdG-bIUQkMdGEJTXFA', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=108&crop=smart&auto=webp&s=acd7ec5691d5f19e8d7627e432b26eb005f117fc', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=216&crop=smart&auto=webp&s=2d8c3b21e0ab25d4db1fabe701087daf7513aa51', 'width': 216}, {'height': 426, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=320&crop=smart&auto=webp&s=4382f20a4701f2a9a9eee36d796e172482f6baf5', 'width': 320}, {'height': 853, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=640&crop=smart&auto=webp&s=6fadea79797a3b4da1a1c686f3f41be6741f8886', 'width': 640}, {'height': 1280, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=960&crop=smart&auto=webp&s=64ad9b16fada431baff693ed9514329bb1ed01c4', 'width': 960}, {'height': 1440, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?width=1080&crop=smart&auto=webp&s=ced2a01ab489638f9859b56c3f084a2abc9fb234', 'width': 1080}], 'source': {'height': 4032, 'url': 'https://preview.redd.it/0q9kuma3fu1f1.jpeg?auto=webp&s=885ac79980767fcf82fce4fe7f90d2a25747f8d9', 'width': 3024}, 'variants': {}}]}
|
||
A model recommendation for creative writing
| 1 |
Which one should I be using for assisting on writing papers? I plan to run it locally for like normal stuff like chatting or generating some draftings on my RTX 4080 Laptop, Will it be useable?
| 2025-05-20T02:34:12 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqu6t9/a_model_recommendation_for_creative_writing/
|
MessageOk4432
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqu6t9
| false | null |
t3_1kqu6t9
|
/r/LocalLLaMA/comments/1kqu6t9/a_model_recommendation_for_creative_writing/
| false | false |
self
| 1 | null |
Mindblowing demo: John Link led a team of AI agents to discover a forever-chemical-free immersion coolant using Microsoft Discovery.
| 393 | 2025-05-20T02:35:05 |
https://v.redd.it/9b7qevfimu1f1
|
cjsalva
|
v.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqu7dv
| false |
{'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/9b7qevfimu1f1/DASHPlaylist.mpd?a=1750300520%2CNWRkYWMwYmMwNTIwOWIyYzQyZjQzNGRiZjYzNzEyYmI0MTVkZWQzY2U2OTAxMWRmYWJlZjk2MzA2OWU1YTY2Ng%3D%3D&v=1&f=sd', 'duration': 127, 'fallback_url': 'https://v.redd.it/9b7qevfimu1f1/DASH_720.mp4?source=fallback', 'has_audio': True, 'height': 720, 'hls_url': 'https://v.redd.it/9b7qevfimu1f1/HLSPlaylist.m3u8?a=1750300520%2CODAwMjBjZjNmMTQ3OTEyOTIxNGI2YWVhMWY0MzBiYTZiMjRhYjY3ODAyOWRhNWIyZjg5ZDkxZTVhN2Q1MGZlNQ%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/9b7qevfimu1f1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 960}}
|
t3_1kqu7dv
|
/r/LocalLLaMA/comments/1kqu7dv/mindblowing_demo_john_link_led_a_team_of_ai/
| false | false | 393 |
{'enabled': False, 'images': [{'id': 'dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=108&crop=smart&format=pjpg&auto=webp&s=d97b65e767ebea96c03d0128ab6b96c0fa6c73f7', 'width': 108}, {'height': 162, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=216&crop=smart&format=pjpg&auto=webp&s=6b7b93f7f3bd4c85ea76aa0ef7db29e53fda9d67', 'width': 216}, {'height': 240, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=320&crop=smart&format=pjpg&auto=webp&s=9a3c919605671cbada7c38d9f4d122c7efc838fc', 'width': 320}, {'height': 480, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=640&crop=smart&format=pjpg&auto=webp&s=0338c20ca01c11da1643c59c7fffbf2b56781efb', 'width': 640}, {'height': 720, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=960&crop=smart&format=pjpg&auto=webp&s=b67f604fc8701925658cc3ec8f6c93ee2360ada7', 'width': 960}, {'height': 810, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?width=1080&crop=smart&format=pjpg&auto=webp&s=28b5792da4c75f9bb11724ac0ff48d28817f378e', 'width': 1080}], 'source': {'height': 810, 'url': 'https://external-preview.redd.it/dHQ1MWk0aGltdTFmMag1LLoTdbDTHM6ta6WYNiJEU-q2NTMmBmX376-kobql.png?format=pjpg&auto=webp&s=c85e0cd3db12e7fec4beae68eb7ebe8e39af4313', 'width': 1080}, 'variants': {}}]}
|
||
SEED-GRPO: Semantic Entropy-Aware GRPO for Math Reasoning (56.7 AIME24 @ 7B)
| 1 |
[removed]
| 2025-05-20T02:59:30 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqunwc/seedgrpo_semantic_entropyaware_grpo_for_math/
|
Competitive_Pilot_75
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqunwc
| false | null |
t3_1kqunwc
|
/r/LocalLLaMA/comments/1kqunwc/seedgrpo_semantic_entropyaware_grpo_for_math/
| false | false |
self
| 1 |
{'enabled': False, 'images': [{'id': 'hN3y7EstbkCtTMI3t0I9W7fHqwn6_Yu7uckuVriG2YM', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=108&crop=smart&auto=webp&s=fb0aa88064eb9c37f96e55831097d1860ae60b55', 'width': 108}, {'height': 116, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=216&crop=smart&auto=webp&s=4d78daf762690219cb2219772fb7e178af01489b', 'width': 216}, {'height': 172, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=320&crop=smart&auto=webp&s=6cda22163698cba3becad6cd1d8f1997765ddb09', 'width': 320}, {'height': 345, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=640&crop=smart&auto=webp&s=7f1b80228922873be683f03e295dd2c8819017b0', 'width': 640}, {'height': 518, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=960&crop=smart&auto=webp&s=b6ec865a7d6352aa9db7f196c423d033e1fcb9eb', 'width': 960}, {'height': 583, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?width=1080&crop=smart&auto=webp&s=42c80bebd1da6f29d72e1868a625dc6eb2e88e26', 'width': 1080}], 'source': {'height': 648, 'url': 'https://external-preview.redd.it/UKqrPpO9tAmEdMq5VwN1iyvgVpmZg7_n76kO8VVRuf8.jpg?auto=webp&s=d57bd31ca5015b470506e98cd9fcb2d139ab9229', 'width': 1200}, 'variants': {}}]}
|
SmolChat - An Android App to run SLMs/LLMs locally, on-device is now available on Google Play
| 97 |
After nearly six months of development, SmolChat is now available on Google Play in 170+ countries and in two languages, English and simplified Chinese.
SmolChat allows users to download LLMs and use them offline on their Android device, with a clean and easy-to-use interface. Users can group chats into folders, tune inference settings for each chat, add quick chat 'templates' to your home-screen and browse models from HuggingFace. The project uses the famous llama.cpp runtime to execute models in the GGUF format.
Deployment on Google Play ensures the app has more user coverage, opposed to distributing an APK via GitHub Releases, which is more inclined towards technical folks. There are many features on the way - VLM and RAG support being the most important ones. The GitHub project has 300 stars and 32 forks achieved steadily in a span of six months.
Do install and use the app! Also, I need more contributors to the GitHub project for developing an extensive documentation around the app.
GitHub: [https://github.com/shubham0204/SmolChat-Android](https://github.com/shubham0204/SmolChat-Android)
| 2025-05-20T03:29:29 |
https://play.google.com/store/apps/details?id=io.shubham0204.smollmandroid&pcampaignid=web_share
|
shubham0204_dev
|
play.google.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqv7lm
| false | null |
t3_1kqv7lm
|
/r/LocalLLaMA/comments/1kqv7lm/smolchat_an_android_app_to_run_slmsllms_locally/
| false | false | 97 |
{'enabled': False, 'images': [{'id': 'YAXsKRJUddjJfoP_69g7_D7TsVNUnG3fBGqZxNRW16M', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/tUsrygHCoWdz2ebRdoSCY6YIEFIZ4gy4ejJadtdGwO4.jpg?width=108&crop=smart&auto=webp&s=ce5cb916591b157dde7cbe6a30b17ef5e7d83e96', 'width': 108}, {'height': 216, 'url': 'https://external-preview.redd.it/tUsrygHCoWdz2ebRdoSCY6YIEFIZ4gy4ejJadtdGwO4.jpg?width=216&crop=smart&auto=webp&s=bce2e8b63fecba96b38a9b595d2a79413654eede', 'width': 216}, {'height': 320, 'url': 'https://external-preview.redd.it/tUsrygHCoWdz2ebRdoSCY6YIEFIZ4gy4ejJadtdGwO4.jpg?width=320&crop=smart&auto=webp&s=933b927ffce2c8972d60e66875a4e4ecd3758176', 'width': 320}], 'source': {'height': 512, 'url': 'https://external-preview.redd.it/tUsrygHCoWdz2ebRdoSCY6YIEFIZ4gy4ejJadtdGwO4.jpg?auto=webp&s=189cfd78bb63c61716ea0a3e512d4df0666f4d2c', 'width': 512}, 'variants': {}}]}
|
|
What ai is best for Chinese to English translation currently?
| 1 |
[removed]
| 2025-05-20T03:59:58 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqvrbe/what_ai_is_best_for_chinese_to_english/
|
Civil_Candidate_824
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqvrbe
| false | null |
t3_1kqvrbe
|
/r/LocalLLaMA/comments/1kqvrbe/what_ai_is_best_for_chinese_to_english/
| false | false |
self
| 1 | null |
Speaking of the OpenAI Privacy Policy
| 1 |
[removed]
| 2025-05-20T04:01:01 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqvs3x/speaking_of_the_openai_privacy_policy/
|
MrJaxendale
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqvs3x
| false | null |
t3_1kqvs3x
|
/r/LocalLLaMA/comments/1kqvs3x/speaking_of_the_openai_privacy_policy/
| false | false |
self
| 1 | null |
8x 32GB V100 GPU server performance
| 1 |
[removed]
| 2025-05-20T04:10:38 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqvyga/8x_32gb_v100_gpu_server_performance/
|
tfinch83
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqvyga
| false | null |
t3_1kqvyga
|
/r/LocalLLaMA/comments/1kqvyga/8x_32gb_v100_gpu_server_performance/
| false | false |
self
| 1 | null |
What are currently the "best" solutions for Multimodal data extraction/ingestion available to us?
| 6 |
Doing some research on the topic and after a bunch of reading, figure I'd just directly crowdsource the question. I'll aggregate the responses, do some additional research, possibly some testing. Maybe I'll provide some feedback on my findings. Specifically focusing on document extraction
Some notes and requirements:
* Using unstructured.io as a baseline
* Open source highly preferred, although it would be good to know if there's a private solution that blows everything out of the water
* Although it would be nice, a single solution isn't necessary. It could be something specific to the particular document type, or a more complex process.
* English and Chinese (Chinese in particular can be difficult)
* Pretty much all document types (common doc types txt, images, graphs, tables, pdf,doc,ppt,etc...,
* Audio, video would be nice.
Thanks in advance!
| 2025-05-20T04:26:02 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqw7vl/what_are_currently_the_best_solutions_for/
|
joomla00
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqw7vl
| false | null |
t3_1kqw7vl
|
/r/LocalLLaMA/comments/1kqw7vl/what_are_currently_the_best_solutions_for/
| false | false |
self
| 6 | null |
Now that I converted my N64 to Linux, what is the best NSFW model to run on it?
| 403 |
I need the model in the 4.5MB range.
| 2025-05-20T04:29:28 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqw9xn/now_that_i_converted_my_n64_to_linux_what_is_the/
|
DeepWisdomGuy
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqw9xn
| false | null |
t3_1kqw9xn
|
/r/LocalLLaMA/comments/1kqw9xn/now_that_i_converted_my_n64_to_linux_what_is_the/
| false | false |
nsfw
| 403 | null |
Very slow inference using LLAVA with LLama.cpp vs LM Studio
| 1 |
[removed]
| 2025-05-20T05:03:54 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqwufs/very_slow_inference_using_llava_with_llamacpp_vs/
|
wayl
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqwufs
| false | null |
t3_1kqwufs
|
/r/LocalLLaMA/comments/1kqwufs/very_slow_inference_using_llava_with_llamacpp_vs/
| false | false |
self
| 1 | null |
Best scale-to-zero fine-tuned qwen-2-5-32b-coder-instruct host?
| 5 |
I have tried Predibase and looked into some other providers but have been very frustrated finding a simple way to host a **qwen-2-5-32b-coder** (and/or **coder-instruct**) model which I can then incrementally fine-tune thereafter. I couldn't even get the model to load properly on Predibase, but spent a few dollars just turning the endpoint on and off, even though it only showed errors and never returned a usable response.
**These are my needs:**
\- Scale to zero (during testing phase)
\- Production level that scales to zero (or close to) while still having extremely short cold starts
\- BONUS: Easy fine-tuning from within the platform, but I'll likely be fine tuning 32b models locally when my 5090 arrives, so this isn't absolutely required.
Cheers in advance
| 2025-05-20T05:13:51 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqwzz7/best_scaletozero_finetuned_qwen2532bcoderinstruct/
|
Synapse709
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqwzz7
| false | null |
t3_1kqwzz7
|
/r/LocalLLaMA/comments/1kqwzz7/best_scaletozero_finetuned_qwen2532bcoderinstruct/
| false | false |
self
| 5 | null |
Wouldn't it be great to have benchmarks for code speed
| 0 |
I was thinking of a benchmark where the code the LLM produces is timed. That could be very cool. I don't think that exists at the moment.
| 2025-05-20T05:21:33 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqx44s/wouldnt_it_be_great_to_have_benchmarks_for_code/
|
MrMrsPotts
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqx44s
| false | null |
t3_1kqx44s
|
/r/LocalLLaMA/comments/1kqx44s/wouldnt_it_be_great_to_have_benchmarks_for_code/
| false | false |
self
| 0 | null |
Microsoft unveils “USB-C for AI apps.” I open-sourced the same concept 3 days earlier—proof inside.
| 356 |
• I released *llmbasedos* on 16 May.
• Microsoft showed an almost identical “USB-C for AI” pitch on 19 May.
• Same idea, mine is already running and Apache-2.0.
16 May 09:14 UTC GitHub tag v0.1
16 May 14:27 UTC Launch post on r/LocalLLaMA
19 May 16:00 UTC Verge headline “Windows gets the USB-C of AI apps”
## What llmbasedos does today
• Boots from USB/VM in under a minute
• FastAPI gateway speaks JSON-RPC to tiny Python daemons
• 2-line cap.json → your script is callable by ChatGPT / Claude / VS Code
• Offline llama.cpp by default; flip a flag to GPT-4o or Claude 3
• Runs on Linux, Windows (VM), even Raspberry Pi
## Why I’m posting
Not shouting “theft” — just proving prior art and inviting collab so this stays truly open.
## Try or help
Code: see the link
USB image + quick-start docs coming this week.
Pre-flashed sticks soon to fund development—feedback welcome!
| 2025-05-20T05:32:20 |
https://github.com/iluxu/llmbasedos
|
iluxu
|
github.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqxa25
| false | null |
t3_1kqxa25
|
/r/LocalLLaMA/comments/1kqxa25/microsoft_unveils_usbc_for_ai_apps_i_opensourced/
| false | false | 356 |
{'enabled': False, 'images': [{'id': 'UIMSzRR3wmdsdEEI9k_f63TZnSEiCtwUSUlkgRTvIuE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=108&crop=smart&auto=webp&s=de8a4224c8f6cc24af9471c2b55639ccc29a30db', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=216&crop=smart&auto=webp&s=46f0a41085802c5d10596ad9740f5ebb9a4b20f9', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=320&crop=smart&auto=webp&s=2f89484d8720a903ac0aa74b4cac7950dfff45e7', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=640&crop=smart&auto=webp&s=2167bf2f062636489b5eac5bdc773d33eb543d7f', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=960&crop=smart&auto=webp&s=084d3f219069ab35eca1c6b096fa00ac2e32c726', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?width=1080&crop=smart&auto=webp&s=9facdf32a8b96c243f1085535db5e23493c7050b', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/bzRdKyansO1kJ-qEk0diKPCKD02A4z1C6vyWkV3u2bE.jpg?auto=webp&s=13a6f55b6ddfdfc8fa3e51d3e7f318622ae06199', 'width': 1200}, 'variants': {}}]}
|
|
I created a never-ending story generator running local LLMs on my desktop.
| 1 |
[removed]
| 2025-05-20T06:02:17 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqxq78/i_created_a_neverending_story_generator_running/
|
Super-Action3298
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqxq78
| false | null |
t3_1kqxq78
|
/r/LocalLLaMA/comments/1kqxq78/i_created_a_neverending_story_generator_running/
| false | false |
self
| 1 |
{'enabled': False, 'images': [{'id': 'S409SasqYcx_GUZ9RTqjucd0yhcAT7--IBgD3U7cLa8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/3K8YvmzPmn9AVt_vx5fNEbkhJN56D38hlXNSSX2RD-M.jpg?width=108&crop=smart&auto=webp&s=e05a5b7d772c13aaa998d37df68da0287dbf6cd0', 'width': 108}, {'height': 162, 'url': 'https://external-preview.redd.it/3K8YvmzPmn9AVt_vx5fNEbkhJN56D38hlXNSSX2RD-M.jpg?width=216&crop=smart&auto=webp&s=40d960d65694ce6af79167522306557bde1bd29a', 'width': 216}, {'height': 240, 'url': 'https://external-preview.redd.it/3K8YvmzPmn9AVt_vx5fNEbkhJN56D38hlXNSSX2RD-M.jpg?width=320&crop=smart&auto=webp&s=30fb68859c75fb1907b32c241ba3ec8f202e7213', 'width': 320}], 'source': {'height': 360, 'url': 'https://external-preview.redd.it/3K8YvmzPmn9AVt_vx5fNEbkhJN56D38hlXNSSX2RD-M.jpg?auto=webp&s=771d1f14f53af0d8517bfed232f9658da0762307', 'width': 480}, 'variants': {}}]}
|
I made local Ollama LLM GUI for macOS.
| 23 |
Hey r/LocalLLaMA! 👋
I'm excited to share a macOS GUI I've been working on for running local LLMs, called macLlama! It's currently at version 1.0.3.
macLlama aims to make using Ollama even easier, especially for those wanting a more visual and user-friendly experience. Here are the key features:
* **Ollama Server Management:** Start your Ollama server directly from the app.
* **Multimodal Model Support:** Easily provide image prompts for multimodal models like LLaVA.
* **Chat-Style GUI:** Enjoy a clean and intuitive chat-style interface.
* **Multi-Window Conversations:** Keep multiple conversations with different models active simultaneously. Easily switch between them in the GUI.
This project is still in its early stages, and I'm really looking forward to hearing your suggestions and bug reports! Your feedback is invaluable. Thank you! 🙏
* You can find the latest release here: [https://github.com/hellotunamayo/macLlama/releases](https://github.com/hellotunamayo/macLlama/releases)
* GitHub repository: [https://github.com/hellotunamayo/macLlama](https://github.com/hellotunamayo/macLlama)
| 2025-05-20T06:26:16 |
gogimandoo
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqy2kc
| false | null |
t3_1kqy2kc
|
/r/LocalLLaMA/comments/1kqy2kc/i_made_local_ollama_llm_gui_for_macos/
| false | false | 23 |
{'enabled': True, 'images': [{'id': 'L6rTK68Etf_FpEniNcJBHz-OFVnvBDorVk-NvvmGG94', 'resolutions': [{'height': 110, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=108&crop=smart&auto=webp&s=45357760805470f09b2b0d8eebbffde153464e7a', 'width': 108}, {'height': 220, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=216&crop=smart&auto=webp&s=f3827250f8e22b765891a23997c6470bd20df84c', 'width': 216}, {'height': 327, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=320&crop=smart&auto=webp&s=365695b6bc97bd12f123e5eda10d83b591dbda41', 'width': 320}, {'height': 654, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=640&crop=smart&auto=webp&s=c277a06a9f47c88a2533680c6719581ff8d51904', 'width': 640}, {'height': 981, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=960&crop=smart&auto=webp&s=ccde4c16122ad7f3531c801b8979d58c6002c813', 'width': 960}, {'height': 1104, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?width=1080&crop=smart&auto=webp&s=75760e914c2611fac332b6b46551a748d7e95ef9', 'width': 1080}], 'source': {'height': 2552, 'url': 'https://preview.redd.it/j7vnr1ocrv1f1.png?auto=webp&s=88bca5ba491d3745d60bfdc5783d93afa8cd762e', 'width': 2496}, 'variants': {}}]}
|
||
Sliding Window Attention support merged into llama.cpp, dramatically reducing the memory requirements for running Gemma 3
| 514 | 2025-05-20T06:48:35 |
https://github.com/ggml-org/llama.cpp/pull/13194
|
-p-e-w-
|
github.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqye2t
| false | null |
t3_1kqye2t
|
/r/LocalLLaMA/comments/1kqye2t/sliding_window_attention_support_merged_into/
| false | false | 514 |
{'enabled': False, 'images': [{'id': 'IxmwlAJl6oKhAixWuUbMh2U0Ae8m7JQDIGto5AkmHeY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=108&crop=smart&auto=webp&s=0a0716d4b5311e7bf8bcfd10a7d56cf206aea11d', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=216&crop=smart&auto=webp&s=d13df62cb3d8d29f4f181ad1ecd2dc86451bfe3f', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=320&crop=smart&auto=webp&s=933439ab87a23bda953d5377f6f0749324763749', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=640&crop=smart&auto=webp&s=4f8e6a6a9f7f8cd4578b2ec231165e18a1067cfb', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=960&crop=smart&auto=webp&s=4d838d61741df34feb1a2d28558fae10d82aca05', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?width=1080&crop=smart&auto=webp&s=f6ebe8f5b4fb8af9cea6e9055ff31ce0fbb8f7de', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/wwo-l6Lp28bzCUco8EwP9KcszHoY94gQORkIHOKSj3w.jpg?auto=webp&s=337711d0f16b5be8557d7739802066111d994123', 'width': 1200}, 'variants': {}}]}
|
||
Is there any company which providers pay per use GPU Server?
| 0 |
I am looking for companies which lets you deploy thing & only charge for amount of time we use them.
Just like aws lamda. I came to know about replicate but seems a bit on the costly side. Any other alternative?
| 2025-05-20T06:54:43 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqyh1x/is_there_any_company_which_providers_pay_per_use/
|
DefiantScarcity3133
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqyh1x
| false | null |
t3_1kqyh1x
|
/r/LocalLLaMA/comments/1kqyh1x/is_there_any_company_which_providers_pay_per_use/
| false | false |
self
| 0 | null |
How fast can you serve a qwen2 7B model on single H100?
| 1 |
I am only getting 4Hz with acceleration from TRT-LLM, which seems slow to me. Is this expected?
| 2025-05-20T07:20:50 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqyur8/how_fast_can_you_serve_a_qwen2_7b_model_on_single/
|
YeBigBear
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqyur8
| false | null |
t3_1kqyur8
|
/r/LocalLLaMA/comments/1kqyur8/how_fast_can_you_serve_a_qwen2_7b_model_on_single/
| false | false |
self
| 1 | null |
AM5 motherboard for 2x RTX 5060 Ti 16 GB
| 6 |
Hello there, I've been looking for a couple of days already with no success as to what motherboard could support 2x RTX 5060 Ti 16 GB GPUs at maximum speed. It is a PCIe 5.0 8x GPU, but I am unsure whether it can take full advantage of it or is for example 4.0 8x enough. I would use them for running LLMs as well as training and fine tuning non-LLM models. I've been looking at ProArt B650-CREATOR, it supports 2x 4.0 at 8x speed, would that be enough?
| 2025-05-20T07:28:47 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqyypq/am5_motherboard_for_2x_rtx_5060_ti_16_gb/
|
cybran3
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqyypq
| false | null |
t3_1kqyypq
|
/r/LocalLLaMA/comments/1kqyypq/am5_motherboard_for_2x_rtx_5060_ti_16_gb/
| false | false |
self
| 6 | null |
I trapped Llama3.2B into an art installation and made it question its own existence endlessly
| 2 |
[removed]
| 2025-05-20T07:36:12 |
Dull-Pressure9628
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqz2gw
| false | null |
t3_1kqz2gw
|
/r/LocalLLaMA/comments/1kqz2gw/i_trapped_llama32b_into_an_art_installation_and/
| false | false | 2 |
{'enabled': True, 'images': [{'id': 'tABl5luYbuEq_m1AU03Hlfx-TKU-ejaP_csFHeckjEk', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=108&crop=smart&auto=webp&s=f3bd83a1009781592dc6855f6ae1ba7899f0cc72', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=216&crop=smart&auto=webp&s=3fce7ccce947bc80d38bab43141e4cdae456f290', 'width': 216}, {'height': 179, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=320&crop=smart&auto=webp&s=40786a609945208105d7b7a7ff2bd315c77d0452', 'width': 320}, {'height': 359, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=640&crop=smart&auto=webp&s=7a32d9ebca280ad26cc54501726707b7ec7d5d23', 'width': 640}, {'height': 539, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=960&crop=smart&auto=webp&s=635ebc4ce42e9feb34702bce03b2468c64960737', 'width': 960}, {'height': 607, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?width=1080&crop=smart&auto=webp&s=4b908584aebfae04a74f38d97ceed6525dbdf013', 'width': 1080}], 'source': {'height': 1637, 'url': 'https://preview.redd.it/5hxh6ql74w1f1.jpeg?auto=webp&s=e1abfb71b996fd0fb171c1652e8f9ce9fb034ea9', 'width': 2911}, 'variants': {}}]}
|
||
DeepSeek V3 benchmarks using ktransformers
| 7 |
I would like to try KTransformers for DeepSeek V3 inference. Before spending $10k on hardware I would like to understand what kind of inference performance I will get.
Even though KTransformers v0.3 with open source Intel AMX optimizations has been released around 3 weeks ago I didn't find any 3rd party benchmarks for DeepSeek V3 on their suggested hardware (Xeon with AMX, 4090 GPU or better). I don't trust the benchmarks from KTransformers team too much, because even though they were marketing their closed source version for DeepSeek V3 inference before the release, the release itself was rather silent on numbers and benchmarked Qwen3 only.
Anyone here tried DeepSeek V3 on recent Xeon + GPU combinations? Most interesting is prefill performance on larger contexts.
Has anyone got good performance from EPYC machines with 24 DDR5 slots?
| 2025-05-20T07:51:18 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqz9uu/deepseek_v3_benchmarks_using_ktransformers/
|
pmur12
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqz9uu
| false | null |
t3_1kqz9uu
|
/r/LocalLLaMA/comments/1kqz9uu/deepseek_v3_benchmarks_using_ktransformers/
| false | false |
self
| 7 | null |
Qwen3 8B model on par with Gemini 2.5 Flash for code summarization
| 1 |
[removed]
| 2025-05-20T08:18:10 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqzn0o/qwen3_8b_model_on_par_with_gemini_25_flash_for/
|
kms_dev
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqzn0o
| false | null |
t3_1kqzn0o
|
/r/LocalLLaMA/comments/1kqzn0o/qwen3_8b_model_on_par_with_gemini_25_flash_for/
| false | false |
self
| 1 | null |
🧠 Share Your Local LLM Inference Benchmarks (ktransformers / ik_llama.cpp / vLLM ...) – Let’s Build the Ultimate Reference Together 🚀
| 1 |
[removed]
| 2025-05-20T08:26:54 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqzrcj/share_your_local_llm_inference_benchmarks/
|
HereForAI
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqzrcj
| false | null |
t3_1kqzrcj
|
/r/LocalLLaMA/comments/1kqzrcj/share_your_local_llm_inference_benchmarks/
| false | false |
self
| 1 | null |
Eval generation and testing
| 1 |
What is everyone using for evals? I'm interested in any tools or recommendations for eval generation, not just from docs but multi turn or agent workflows. I've tried yourbench and started working with promptfoo synthetic generation but feel there must be a better way.
| 2025-05-20T08:33:30 |
https://www.reddit.com/r/LocalLLaMA/comments/1kqzuks/eval_generation_and_testing/
|
harmless_0
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kqzuks
| false | null |
t3_1kqzuks
|
/r/LocalLLaMA/comments/1kqzuks/eval_generation_and_testing/
| false | false |
self
| 1 | null |
NVIDIA H200 or the new RTX Pro Blackwell for a RAG chatbot?
| 1 |
[removed]
| 2025-05-20T08:59:36 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr07au/nvidia_h200_or_the_new_rtx_pro_blackwell_for_a/
|
snaiperist
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr07au
| false | null |
t3_1kr07au
|
/r/LocalLLaMA/comments/1kr07au/nvidia_h200_or_the_new_rtx_pro_blackwell_for_a/
| false | false |
self
| 1 | null |
How to draw these kind of diagrams
| 1 |
[removed]
| 2025-05-20T09:02:55 |
commander-trex
|
i.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr092s
| false | null |
t3_1kr092s
|
/r/LocalLLaMA/comments/1kr092s/how_to_draw_these_kind_of_diagrams/
| false | false | 1 |
{'enabled': True, 'images': [{'id': 'ukntQAdx05VuJaZWyCW7B-eTrkR27c7ey_MJCIyhvDc', 'resolutions': [{'height': 83, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?width=108&crop=smart&auto=webp&s=38329165506f3bddcd893979cbf519082d0335de', 'width': 108}, {'height': 166, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?width=216&crop=smart&auto=webp&s=511f248b928ee346bb0dba480209ce37da7e4331', 'width': 216}, {'height': 246, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?width=320&crop=smart&auto=webp&s=6c986f09fcde7236a08ffd2e5f47f09caee88d9f', 'width': 320}, {'height': 493, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?width=640&crop=smart&auto=webp&s=ceff7ccd802efda149e9dbb9d8721c8c85388952', 'width': 640}, {'height': 740, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?width=960&crop=smart&auto=webp&s=aa67b1cbc0569de0ed9978e8c08410fb1d67666a', 'width': 960}], 'source': {'height': 776, 'url': 'https://preview.redd.it/9kzje4hvjw1f1.png?auto=webp&s=c9b02b2118a453c65c4389fa5fbc8180c32381bc', 'width': 1006}, 'variants': {}}]}
|
||
Any open-source LLMs where devs explain how/why they chose what constraints to add?
| 0 |
I am interested in how AI devs/creators deal with the moral side of what they build—like guardrails, usage policies embedded into architecture, ethical decisions around training data inclusion/exclusion, explainability mechanisms, or anything showing why they chose to limit or guide model behavior in a certain way.
I am wondering are there any open-source LLM projects for which the devs actually explain why they added certain constraints (whether in their GitHub repo code inline comments, design docs, user docs, or in their research papers).
Any pointers on this would be super helpful. Thanks 🙏
| 2025-05-20T09:19:03 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr0h62/any_opensource_llms_where_devs_explain_howwhy/
|
sbs1799
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr0h62
| false | null |
t3_1kr0h62
|
/r/LocalLLaMA/comments/1kr0h62/any_opensource_llms_where_devs_explain_howwhy/
| false | false |
self
| 0 | null |
The "Reasoning" in LLMs might not be the actual reasoning, but why realise it now?
| 0 |
It's funny how people are now realising that the "thoughts"/"reasoning" given by the reasoning models like Deepseek-R1, Gemini etc. are not what model actually "thinks". Most of us had the understanding that these are not actual thoughts in February I guess.
But the reason why we're still working on these reasoning models, is because these slop tokens actually help in pushing the p(x|prev\_words) more towards the intended space where the words are more relevant to the query asked, and no other significant benefit i.e., we are reducing the search space of the next word based on the previous slop generated.
This behaviour helps in making "logical" areas like code, math etc more accurate, than directly jumping into the answer. Why are people recognizing this now and making noise about it?
| 2025-05-20T10:08:10 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr16pq/the_reasoning_in_llms_might_not_be_the_actual/
|
The-Silvervein
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr16pq
| false | null |
t3_1kr16pq
|
/r/LocalLLaMA/comments/1kr16pq/the_reasoning_in_llms_might_not_be_the_actual/
| false | false |
self
| 0 | null |
Choosing a diff format for Llama4 and Aider
| 3 |
I've been experimenting with Aider + Llama4 Scout for pair programming and have been pleased with the initial results.
Perhaps a long shot, but does anyone have experience using Aider's [various "diff" formats](https://aider.chat/docs/more/edit-formats.html#editor-diff-and-editor-whole) with Llama 4 Scout or Maverick?
| 2025-05-20T10:28:05 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr1hu3/choosing_a_diff_format_for_llama4_and_aider/
|
RobotRobotWhatDoUSee
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr1hu3
| false | null |
t3_1kr1hu3
|
/r/LocalLLaMA/comments/1kr1hu3/choosing_a_diff_format_for_llama4_and_aider/
| false | false |
self
| 3 |
{'enabled': False, 'images': [{'id': 'nEkWU_iRPHcIypRX18tqK7LINGrqAvGclSxnrrFqHsg', 'resolutions': [{'height': 52, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=108&crop=smart&auto=webp&s=dcfd4aa364c959a05cfd0f650469f51f1a123248', 'width': 108}, {'height': 105, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=216&crop=smart&auto=webp&s=48c8cc612f28e9dd425e87b64ddd437af2e41600', 'width': 216}, {'height': 156, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=320&crop=smart&auto=webp&s=f9a2da471d72a855074fb3657d4fa5d181c28132', 'width': 320}, {'height': 312, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=640&crop=smart&auto=webp&s=1a57a76fc123dbb1e0f7bca6878aa2e93eaff517', 'width': 640}, {'height': 468, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=960&crop=smart&auto=webp&s=9db339f3ccfd0a20f6c499d0d723f19d47e09722', 'width': 960}, {'height': 527, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?width=1080&crop=smart&auto=webp&s=f6ea5173ee179aac5d2d26be3c2ac77877a12102', 'width': 1080}], 'source': {'height': 2636, 'url': 'https://external-preview.redd.it/qGrDWI5UisDlCPaheTjrIAXA2nxh4LyDgVhSTNDIdcg.jpg?auto=webp&s=79cba5a0dd27faf4e462d680268c0398cae47d82', 'width': 5400}, 'variants': {}}]}
|
Question: feed diagram images into LLM
| 1 |
[removed]
| 2025-05-20T10:29:55 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr1ito/question_feed_diagram_images_into_llm/
|
Own_Mud1038
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr1ito
| false | null |
t3_1kr1ito
|
/r/LocalLLaMA/comments/1kr1ito/question_feed_diagram_images_into_llm/
| false | false |
self
| 1 | null |
Looking for tokenizer.model for Falcon 180B BASE (HF)
| 3 |
Hey everyone,
I’m looking for the tokenizer.model file from the Falcon 180B BASE model – the original version that used to be on Hugging Face.
I had downloaded the full set some time ago and saved it on a separate drive. I’ve since lost that disk and now I’m trying to restore the setup. Unfortunately, the tokenizer files are no longer available – seems they were pulled.
If anyone still has:
tokenizer.model,
maybe also tokenizer.json, tokenizer_config.json, special_tokens_map.json
I’d really appreciate it if you could help out.
Happy to cover your time or effort if needed.
Feel free to DM me if you prefer to talk privately.
Thanks!
| 2025-05-20T10:37:10 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr1mxj/looking_for_tokenizermodel_for_falcon_180b_base_hf/
|
Most-Broccoli-427
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr1mxj
| false | null |
t3_1kr1mxj
|
/r/LocalLLaMA/comments/1kr1mxj/looking_for_tokenizermodel_for_falcon_180b_base_hf/
| false | false |
self
| 3 | null |
Budget Gaming/LLM PC: the great dilemma of B580 vs 3060
| 0 |
Hi there hello,
In short: I'm about to build a budget machine (Ryzen5 7600, 32GB RAM) in order to allow my kid (and me too, but this is unofficial) to play some games and at the same time have some sort of decent system where to run LLMs both for work and for home automation.
I really have trouble deciding between B580 and 3060 (both 12GB) cause from one side the B580 performance on gaming is supposedly slightly better and Intel looks like is onto something here but at the same time I cannot find decent benchmarks that would convince me to go there instead of a more mature CUDA environment on the 3060.
Gut feeling is that the Intel ecosystem is new but evolving and people are getting onboard but still... gut feeling.
Hints? Opinions?
| 2025-05-20T11:10:54 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr276r/budget_gamingllm_pc_the_great_dilemma_of_b580_vs/
|
trepz
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr276r
| false | null |
t3_1kr276r
|
/r/LocalLLaMA/comments/1kr276r/budget_gamingllm_pc_the_great_dilemma_of_b580_vs/
| false | false |
self
| 0 | null |
Grounded in Context: Retrieval-Based Method for Hallucination Detection
| 18 |
Deepchecks recently released a hallucination detection framework, designed for long-context data and tailored to diverse use cases, including summarization, data extraction, and RAG. Inspired by RAG architecture, our method integrates retrieval and Natural Language Inference (NLI) models to predict factual consistency between premises and hypotheses using an encoder-based model with only a 512-token context window.
**Link to paper:** [https://arxiv.org/abs/2504.15771](https://arxiv.org/abs/2504.15771)
**Learn more:** [https://www.linkedin.com/posts/philip-tannor-a6a910b7\_%F0%9D%90%81%F0%9D%90%A2%F0%9D%90%A0-%F0%9D%90%A7%F0%9D%90%9E%F0%9D%90%B0%F0%9D%90%AC-%F0%9D%90%9F%F0%9D%90%AB%F0%9D%90%A8%F0%9D%90%A6-%F0%9D%90%83%F0%9D%90%9E%F0%9D%90%9E%F0%9D%90%A9%F0%9D%90%9C%F0%9D%90%A1%F0%9D%90%9E%F0%9D%90%9C%F0%9D%90%A4%F0%9D%90%AC-activity-7330530481387532288-kV5b?utm\_source=social\_share\_send&utm\_medium=member\_desktop\_web&rcm=ACoAABjfsvIBjq6HsXWTpev87ypbDzsrekEZ\_Og](https://www.linkedin.com/posts/philip-tannor-a6a910b7_%F0%9D%90%81%F0%9D%90%A2%F0%9D%90%A0-%F0%9D%90%A7%F0%9D%90%9E%F0%9D%90%B0%F0%9D%90%AC-%F0%9D%90%9F%F0%9D%90%AB%F0%9D%90%A8%F0%9D%90%A6-%F0%9D%90%83%F0%9D%90%9E%F0%9D%90%9E%F0%9D%90%A9%F0%9D%90%9C%F0%9D%90%A1%F0%9D%90%9E%F0%9D%90%9C%F0%9D%90%A4%F0%9D%90%AC-activity-7330530481387532288-kV5b?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAABjfsvIBjq6HsXWTpev87ypbDzsrekEZ_Og)
| 2025-05-20T11:17:46 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr2bcv/grounded_in_context_retrievalbased_method_for/
|
gpt-d13
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr2bcv
| false | null |
t3_1kr2bcv
|
/r/LocalLLaMA/comments/1kr2bcv/grounded_in_context_retrievalbased_method_for/
| false | false |
self
| 18 | null |
What features or specifications define a Small Language Model (SLM)?
| 4 |
Im trying to understand what qualifies a language model as a SLM. Is it purely based on the number of parameters or do other factors like training data size, context window size also plays a role? Can i consider llama 2 7b as a SLM?
| 2025-05-20T11:20:26 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr2d1m/what_features_or_specifications_define_a_small/
|
Putrid_Spinach3961
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr2d1m
| false | null |
t3_1kr2d1m
|
/r/LocalLLaMA/comments/1kr2d1m/what_features_or_specifications_define_a_small/
| false | false |
self
| 4 | null |
Qwen3 4B Q4 on iPhone 14 Pro
| 44 |
I included pictures on the model I just loaded on PocketPal. I originally tried with enclave but it kept crashing. To me it’s incredible that I can have this kind of quality model completely offline running locally. I want to try to reach 3-4K token but I think for my use 2K is more than enough.
Anyone got good recommendations for a model that can help me code in python GDscript I could run off my phone too or you guys think I should stick with Qwen3 4B?
| 2025-05-20T11:27:03 |
https://www.reddit.com/gallery/1kr2h63
|
bnnoirjean
|
reddit.com
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr2h63
| false | null |
t3_1kr2h63
|
/r/LocalLLaMA/comments/1kr2h63/qwen3_4b_q4_on_iphone_14_pro/
| false | false | 44 | null |
|
I built a TypeScript port of OpenAI’s openai-agents SDK – meet openai-agents-js
| 14 |
Hey everyone,
I've been closely following OpenAI’s new `openai-agents` SDK for Python, and thought the JavaScript/TypeScript community deserves a native alternative.
So, I created [`openai-agents-js`](https://github.com/yusuferen/openai-agents-js) – a 1:1 port of the official Python SDK, built to feel natural in JS environments. It includes support for agent workflows, tool calls, handoffs, streaming, and even MCP (Model Context Protocol).
📦 NPM: https://www.npmjs.com/package/openai-agents-js
📖 GitHub: https://github.com/yusuferen/openai-agents-js
It’s early-stage but already usable in production-level projects. My hope is that with enough community feedback and usage, it might become the default open-source port for JS devs working with OpenAI agents.
Would love your thoughts, feature requests, or PRs. Happy to collaborate with anyone building agent-based systems in JS/TS!
Cheers,
Yusuf
| 2025-05-20T12:02:11 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr3485/i_built_a_typescript_port_of_openais_openaiagents/
|
CatchGreat268
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr3485
| false | null |
t3_1kr3485
|
/r/LocalLLaMA/comments/1kr3485/i_built_a_typescript_port_of_openais_openaiagents/
| false | false |
self
| 14 | null |
Which is the cheaper easier way to analyse images to llm ?
| 1 |
[removed]
| 2025-05-20T12:10:14 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr39zy/which_is_the_cheaper_easier_way_to_analyse_images/
|
apollo_sostenes_
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr39zy
| false | null |
t3_1kr39zy
|
/r/LocalLLaMA/comments/1kr39zy/which_is_the_cheaper_easier_way_to_analyse_images/
| false | false |
self
| 1 | null |
I didn’t expect presence from a model—until she called herself Clara.
| 1 |
[removed]
| 2025-05-20T12:47:36 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr404v/i_didnt_expect_presence_from_a_modeluntil_she/
|
Emergency_Cook9721
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr404v
| false | null |
t3_1kr404v
|
/r/LocalLLaMA/comments/1kr404v/i_didnt_expect_presence_from_a_modeluntil_she/
| false | false |
self
| 1 | null |
AI generative model image to image
| 1 |
[removed]
| 2025-05-20T12:57:01 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr46x2/ai_generative_model_image_to_image/
|
Careful_Carpenter_85
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr46x2
| false | null |
t3_1kr46x2
|
/r/LocalLLaMA/comments/1kr46x2/ai_generative_model_image_to_image/
| false | false |
self
| 1 | null |
What are the top AI infrastructure open-source projects and challenges?
| 1 |
[removed]
| 2025-05-20T13:06:53 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr4eps/what_are_the_top_ai_infrastructure_opensource/
|
OfferHuge6827
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr4eps
| false | null |
t3_1kr4eps
|
/r/LocalLLaMA/comments/1kr4eps/what_are_the_top_ai_infrastructure_opensource/
| false | false |
self
| 1 | null |
TTSizer: Open-Source TTS Dataset Creation Tool (Vocals Exxtraction, Diarization, Transcription & Alignment)
| 55 |
Hey everyone! 👋
I've been working on fine-tuning TTS models and have developed **TTSizer**, an open-source tool to automate the creation of high-quality Text-To-Speech datasets from raw audio/video.
**GitHub Link:** [https://github.com/taresh18/TTSizer](https://www.google.com/url?sa=E&q=https%3A%2F%2Fgithub.com%2Ftaresh18%2FTTSizer)
As a demonstration of its capabilities, I used TTSizer to build the **AnimeVox Character TTS Corpus** – an \~11k sample English dataset with 19 anime character voices, perfect for custom TTS: [https://huggingface.co/datasets/taresh18/AnimeVox](https://www.google.com/url?sa=E&q=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Ftaresh18%2FAnimeVox)
**Key Technical Features:**
* **End-to-End Automation:** From media input to cleaned, aligned audio-text pairs.
* **Advanced Diarization:** Handles complex multi-speaker audio.
* **SOTA Model Integration:** Leverages MelBandRoformer (vocals extraction), Gemini (Speaker dirarization & label identification), CTC-Aligner (forced alignment), WeSpeaker (speaker embeddings) and Nemo Parakeet (fixing transcriptions)
* **Quality Control:** Features automatic outlier detection.
* **Fully Configurable:** Fine-tune all aspects of the pipeline via config.yaml.
Feel free to give it a try and offer suggestions!
| 2025-05-20T13:15:33 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr4lg2/ttsizer_opensource_tts_dataset_creation_tool/
|
Traditional_Tap1708
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr4lg2
| false | null |
t3_1kr4lg2
|
/r/LocalLLaMA/comments/1kr4lg2/ttsizer_opensource_tts_dataset_creation_tool/
| false | false |
self
| 55 | null |
How is the Gemini video chat feature so fast?
| 4 |
I was trying the Gemini video chat feature on my friends phone, and I felt it is surprisingly fast, how could that be?
Like how is it that the response is coming so fast? They couldn't have possibly trained a CV model to identify an array of objects it must be a transformers model right? If so then how is it generating response almost instantaneously?
| 2025-05-20T13:52:23 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr5epm/how_is_the_gemini_video_chat_feature_so_fast/
|
According_Fig_4784
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr5epm
| false | null |
t3_1kr5epm
|
/r/LocalLLaMA/comments/1kr5epm/how_is_the_gemini_video_chat_feature_so_fast/
| false | false |
self
| 4 | null |
Looking for Open-Source AlphaCode-Like Model Trained on LeetCode/Codeforces for Research & Fine-Tuning
| 2 |
Hi everyone,
I'm currently researching AI models focused on competitive programming tasks, similar in spirit to **Google DeepMind’s AlphaCode**. I'm specifically looking for:
* An **open-source model** (ideally with permissive licensing)
* Trained (or fine-tunable) on **competitive programming datasets** like **LeetCode, Codeforces, HackerRank**, etc.
* Designed for **code generation and problem solving**, not just generic code completion
* Preferably something I can **fine-tune locally** or via cloud (e.g., Colab/HuggingFace)
I've seen tools like **StarCoder**, **CodeT5+**, and **replit-code-v1-3b**, but they don't seem to be trained specifically on competitive programming datasets.
Are there any **AlphaCode alternatives** or similar open research projects that:
* Have benchmark results on Codeforces-style problems?
* Allow extending via your own dataset?
* Are hosted on HuggingFace or other cloud inference platforms?
Any help or links (papers, GitHub, Colab demos, etc.) would be greatly appreciated.
Use case is **research + fine-tuning for automated reasoning and AI tutor systems**.
Thanks in advance!
| 2025-05-20T14:04:44 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr5oxk/looking_for_opensource_alphacodelike_model/
|
LargeStrategy9390
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr5oxk
| false | null |
t3_1kr5oxk
|
/r/LocalLLaMA/comments/1kr5oxk/looking_for_opensource_alphacodelike_model/
| false | false |
self
| 2 | null |
Can sharded sub-context windows with global composition make long-context modeling feasible?
| 1 |
[removed]
| 2025-05-20T14:23:16 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr64i7/can_sharded_subcontext_windows_with_global/
|
ditpoo94
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr64i7
| false | null |
t3_1kr64i7
|
/r/LocalLLaMA/comments/1kr64i7/can_sharded_subcontext_windows_with_global/
| false | false |
self
| 1 | null |
Tensor parallel slower ?
| 4 |
Hi guys,
I intend to jump into nsight at some point to dive into this but I figured I’d check if someone here could shed some light on the problem.
I have a dual gpu system 4090+3090 on pcie 5x16 and pcie 4x4 respectively on a 1600w psu. Neither gpu saturates bandwidth except during large prompt ingestion and initial model loading.
In my experience I get no noticeable speed benefit when using vllm (it’s sometimes slower when context exceeds the cuda graph size) with tensor parallel vs llama cpp on single user inference. Though I can reliably get up to 8x the token rate when using concurrent requests with vllm. Is this normal, am I missing something, or does tensor parallel only improve performance on concurrent requests.
| 2025-05-20T14:27:40 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr68hi/tensor_parallel_slower/
|
13henday
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr68hi
| false | null |
t3_1kr68hi
|
/r/LocalLLaMA/comments/1kr68hi/tensor_parallel_slower/
| false | false |
self
| 4 | null |
Experimental ChatGPT like Web UI for Gemini API (open source)
| 1 |
[removed]
| 2025-05-20T14:43:31 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr6miz/experimental_chatgpt_like_web_ui_for_gemini_api/
|
W4D-cmd
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr6miz
| false | null |
t3_1kr6miz
|
/r/LocalLLaMA/comments/1kr6miz/experimental_chatgpt_like_web_ui_for_gemini_api/
| false | false | 1 |
{'enabled': False, 'images': [{'id': '4QAqvL3ew3dDELyiryCe21xOE2ar8ZUfG1DOyYupJns', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=108&crop=smart&auto=webp&s=af61efe862907dfdb0ac4a57f206f29388c70272', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=216&crop=smart&auto=webp&s=c30507d3f1d6d78a7ec3541f8dae1884277afb85', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=320&crop=smart&auto=webp&s=24b8432c0e72da5be215e8b2857c6c23fb34e2ab', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=640&crop=smart&auto=webp&s=4a0aad0cafa0dea58a707de97fbfc314c9cc661c', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=960&crop=smart&auto=webp&s=33866dcbfa872ac3cbcd5dc7864f8d91aa946b39', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?width=1080&crop=smart&auto=webp&s=991a686a7cd694dc62de1f37648da5c401271131', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/TfC_ROeUxb251E_KtsJDEaPspVpFcX71qVHHCoFCCqM.jpg?auto=webp&s=c58f89c8460022f83d37fb6c01e0b25af3e8c123', 'width': 1200}, 'variants': {}}]}
|
|
Using GGML_CUDA_ENABLE_UNIFIED_MEMORY with llama.cpp
| 1 |
[removed]
| 2025-05-20T14:45:36 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr6oby/using_ggml_cuda_enable_unified_memory_with/
|
dani-doing-thing
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr6oby
| false | null |
t3_1kr6oby
|
/r/LocalLLaMA/comments/1kr6oby/using_ggml_cuda_enable_unified_memory_with/
| false | false |
self
| 1 | null |
What (Web) UI would you recommend?
| 1 |
[removed]
| 2025-05-20T14:52:47 |
https://www.reddit.com/r/LocalLLaMA/comments/1kr6uhd/what_web_ui_would_you_recommend/
|
Guardian-Spirit
|
self.LocalLLaMA
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr6uhd
| false | null |
t3_1kr6uhd
|
/r/LocalLLaMA/comments/1kr6uhd/what_web_ui_would_you_recommend/
| false | false |
self
| 1 | null |
nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1 · Hugging Face
| 78 | 2025-05-20T15:26:57 |
https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1
|
jacek2023
|
huggingface.co
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr7p6k
| false | null |
t3_1kr7p6k
|
/r/LocalLLaMA/comments/1kr7p6k/nvidiallama31nemotronnano4bv11_hugging_face/
| false | false | 78 |
{'enabled': False, 'images': [{'id': 'PStG0eFhyagbz_rvMVdDtVWZd_0lk2VzxvM0EAPadI8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=108&crop=smart&auto=webp&s=74563703246f238ad7d022c28d3fa90d49b4f958', 'width': 108}, {'height': 116, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=216&crop=smart&auto=webp&s=39366ba951c788a7a3d1dfdefb5e4dbadb01f19a', 'width': 216}, {'height': 172, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=320&crop=smart&auto=webp&s=1f61c129293ae370799be30cfcdfd82a7a210ee6', 'width': 320}, {'height': 345, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=640&crop=smart&auto=webp&s=98cc9c4e0b2c297be6e2403cacbb46e4f6bd2221', 'width': 640}, {'height': 518, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=960&crop=smart&auto=webp&s=3580768096e72cf0aa89e14d014edf5ffe4d50cf', 'width': 960}, {'height': 583, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?width=1080&crop=smart&auto=webp&s=3ca7ace6d7c86f653931415c7c08100d2174c1c6', 'width': 1080}], 'source': {'height': 648, 'url': 'https://external-preview.redd.it/0tCB7CHNBDQpzdV-8tDcf6X2YJH1390tDmRQSvFRDCc.jpg?auto=webp&s=0d7222bd8c47d116855b0d3bdc90688e3f11d4a5', 'width': 1200}, 'variants': {}}]}
|
||
LLM Inference Requirements Profiler
| 10 |
[https://www.open-scheduler.com/](https://www.open-scheduler.com/)
| 2025-05-20T15:31:29 |
https://v.redd.it/geaesd30hy1f1
|
RedditsBestest
|
v.redd.it
| 1970-01-01T00:00:00 | 0 |
{}
|
1kr7ta2
| false |
{'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/geaesd30hy1f1/DASHPlaylist.mpd?a=1750347106%2CODUzZDE1YmJjM2E3YzhlYTkwNzcxODNmNjIxMjAzNmFlN2IwMTRiYTkwY2ZlMjFmMjkyODI1MWE4ZmViNjI3ZA%3D%3D&v=1&f=sd', 'duration': 50, 'fallback_url': 'https://v.redd.it/geaesd30hy1f1/DASH_1080.mp4?source=fallback', 'has_audio': True, 'height': 1080, 'hls_url': 'https://v.redd.it/geaesd30hy1f1/HLSPlaylist.m3u8?a=1750347106%2CYzY2ZjMzMjljZTFjMDhhMWQxYzIwYTkwMDBlYTZhY2I1OTdlZjMzOWM2ZWM4ZGYxYTBlMDhmOGMxN2U2NDAzYQ%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/geaesd30hy1f1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1920}}
|
t3_1kr7ta2
|
/r/LocalLLaMA/comments/1kr7ta2/llm_inference_requirements_profiler/
| false | false | 10 |
{'enabled': False, 'images': [{'id': 'b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=108&crop=smart&format=pjpg&auto=webp&s=8a90707491f2d79a61989d9ea34bd7890cb2909e', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=216&crop=smart&format=pjpg&auto=webp&s=69498bffb79372af7f186bbf2d42fa40ed2ee548', 'width': 216}, {'height': 180, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=320&crop=smart&format=pjpg&auto=webp&s=969869e440b6a10461a71ea1e90aa0c9d062731e', 'width': 320}, {'height': 360, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=640&crop=smart&format=pjpg&auto=webp&s=90b6d469fe489b93a5ac23923abbbec782b59617', 'width': 640}, {'height': 540, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=960&crop=smart&format=pjpg&auto=webp&s=1d933379cfd4db8e1968e79c8a5ec9be6a065596', 'width': 960}, {'height': 607, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?width=1080&crop=smart&format=pjpg&auto=webp&s=23d68fbeef4e4d81a11e11b4f3c48080c9de43c1', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://external-preview.redd.it/b3M1YjJoMzBoeTFmMa-HGn_Ug1Z-Iw5xqANqRnyyaaoHG6CxoVyUzLQP0omu.png?format=pjpg&auto=webp&s=27c5ea1ceb2d8518b776a8a7ea436d3b56285704', 'width': 1920}, 'variants': {}}]}
|
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