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Byee | 238 | 2025-01-27T01:44:42 | amirulnaim2000 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1iawl12 | false | null | t3_1iawl12 | /r/LocalLLaMA/comments/1iawl12/byee/ | false | false | 238 | {'enabled': True, 'images': [{'id': 'nTPmMZJdoqsI5aMh0iJTyLdoyKuLCkMlW4ow5v8Yino', 'resolutions': [{'height': 91, 'url': 'https://preview.redd.it/jauvd8soyffe1.jpeg?width=108&crop=smart&auto=webp&s=c6278027fdc898dc314d5570355e7028898c25b0', 'width': 108}, {'height': 183, 'url': 'https://preview.redd.it/jauvd8soyffe1.jpeg?width=216&crop=smart&auto=webp&s=bd4816de9d7a4a53918a7b1ead47a36d7e4bed7e', 'width': 216}, {'height': 271, 'url': 'https://preview.redd.it/jauvd8soyffe1.jpeg?width=320&crop=smart&auto=webp&s=f98d8a0c2447bbee55852101602ad1ba740a3960', 'width': 320}], 'source': {'height': 500, 'url': 'https://preview.redd.it/jauvd8soyffe1.jpeg?auto=webp&s=ffd4729f066de753d92b2642ef884bdc5443b3e5', 'width': 590}, 'variants': {}}]} |
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NES/SNES Retro UI for LLMs | 3 | Hi,
As the title suggests, I'm wondering if there are any cool UIs that look something like old NES/SNES games? With accompanying sounds too if that's possible.
Me and my buddies were thinking of creating a UI for various LLMs with pictures of us in 8-bit or 16-bit graphics with Super Mario Bros themed buttons, colors and sounds. Like some sort of super hero team ..LMAO.... Is there anything similar available at the moment? Some cyberpunk theme possibly? | 2025-01-27T01:48:45 | https://www.reddit.com/r/LocalLLaMA/comments/1iawnu7/nessnes_retro_ui_for_llms/ | Proud_Fox_684 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iawnu7 | false | null | t3_1iawnu7 | /r/LocalLLaMA/comments/1iawnu7/nessnes_retro_ui_for_llms/ | false | false | self | 3 | null |
The Yellow Swan? Is it popping? | 4 | Nvidia opens down more than -5% in overnight trading in its first reaction to DeepSeek. The biggest market headwind just came out of nowhere.
Nasdaq 100 futures are now down -330 POINTS since the market opened just hours ago as DeepSeek takes #1 on the App Store.
🤔 | 2025-01-27T01:54:52 | https://www.reddit.com/gallery/1iaws33 | Neat-Computer-6975 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1iaws33 | false | null | t3_1iaws33 | /r/LocalLLaMA/comments/1iaws33/the_yellow_swan_is_it_popping/ | false | false | 4 | null |
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Well we all knew it'd have to be a bit censored lol | 1 | [removed] | 2025-01-27T01:57:09 | https://www.reddit.com/r/LocalLLaMA/comments/1iawtpl/well_we_all_knew_itd_have_to_be_a_bit_censored_lol/ | Background-Remote765 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iawtpl | false | null | t3_1iawtpl | /r/LocalLLaMA/comments/1iawtpl/well_we_all_knew_itd_have_to_be_a_bit_censored_lol/ | false | false | 1 | null |
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Well we all knew R1 would be a bit biased lol | 1 | 2025-01-27T02:00:44 | https://www.reddit.com/gallery/1iawwah | Background-Remote765 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1iawwah | false | null | t3_1iawwah | /r/LocalLLaMA/comments/1iawwah/well_we_all_knew_r1_would_be_a_bit_biased_lol/ | false | false | 1 | null |
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How can I configure Kimi AI Android app to be in English? | 2 | How can I configure Kimi AI Android app to be in English? | 2025-01-27T02:02:24 | https://www.reddit.com/r/LocalLLaMA/comments/1iawxja/how_can_i_configure_kimi_ai_android_app_to_be_in/ | Franck_Dernoncourt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iawxja | false | null | t3_1iawxja | /r/LocalLLaMA/comments/1iawxja/how_can_i_configure_kimi_ai_android_app_to_be_in/ | false | false | self | 2 | null |
🎉 Announcing orca-mini-phi-4 | 1 | [removed] | 2025-01-27T02:07:46 | https://www.reddit.com/r/LocalLLaMA/comments/1iax1bl/announcing_orcaminiphi4/ | Remarkable-Spite-107 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iax1bl | false | null | t3_1iax1bl | /r/LocalLLaMA/comments/1iax1bl/announcing_orcaminiphi4/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'gB8Elf-NRas8DNzxZ3XHvaqW5xslY9xtCr21OUuhBu0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=108&crop=smart&auto=webp&s=acd93b930a8b902d9c9299e22a40b1a57149ca62', 'width': 108}, {'height': 116, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=216&crop=smart&auto=webp&s=4387ea3ece6ba692c57fffa8dc27218b953f8aad', 'width': 216}, {'height': 172, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=320&crop=smart&auto=webp&s=70389dfdffd83208f3c91b1cbf6a0c3f9b78d950', 'width': 320}, {'height': 345, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=640&crop=smart&auto=webp&s=0f1b9ad44f5c2fe5c2c5d34066c0bc8667f780af', 'width': 640}, {'height': 518, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=960&crop=smart&auto=webp&s=4c2ce41cca9acb3c7ef036402d7b6b8c09506ea8', 'width': 960}, {'height': 583, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?width=1080&crop=smart&auto=webp&s=759c9b2f7582dd486276351cffc1630dc7776e3e', 'width': 1080}], 'source': {'height': 648, 'url': 'https://external-preview.redd.it/z65rym9vce-lkH9rwbBStJ7Eb-WuZBlS3uu_wUaUNd8.jpg?auto=webp&s=dfe1f3afc364e679bb6ed713e1ce813c15af9e8e', 'width': 1200}, 'variants': {}}]} |
AI Reading Partner | 1 | I like Claude a lot. I find Claude is in fact more "anthropic" (pun intended) or more"anthropomorphic" than any of the other models. It's just a better conversationalist overall. I use it as my reading buddy/book club sometimes. Lately I've become a lot more aware of the environmental impact of these AI queries and also about Anthropic's involvement with the U.S military (yes, I know they're all doing it and that it was inevitable, but I still don't like it). I mean, I'm grateful for the opportunity to play around with all the AI models out there, but I think the price tag is a bit too high simply for the sake of my entertainment.
I am trying to find out if any of the open-source local LLMs work as well as Claude in the particular way I mentioned. Coding is not an important function for me. Has anyone come across something similar? | 2025-01-27T02:18:14 | https://www.reddit.com/r/LocalLLaMA/comments/1iax8nv/ai_reading_partner/ | Saddyblues | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iax8nv | false | null | t3_1iax8nv | /r/LocalLLaMA/comments/1iax8nv/ai_reading_partner/ | false | false | self | 1 | null |
How much RAM do I need? ROCM vs CUDA | 1 | [removed] | 2025-01-27T02:19:35 | https://www.reddit.com/r/LocalLLaMA/comments/1iax9m1/how_much_ram_do_i_need_rocm_vs_cuda/ | Josue999it | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iax9m1 | false | null | t3_1iax9m1 | /r/LocalLLaMA/comments/1iax9m1/how_much_ram_do_i_need_rocm_vs_cuda/ | false | false | self | 1 | null |
I have a 12GB 3060, is it possible to fine-tune ANY model? | 5 | Hey everyone. I have nothing.
But I have a 3060 12 GB with 16 GB RAM going on strong in my life. About the only good thing. I want to fine tune a small model for my specific use case. I am still learning about LLMs, their capabilities, and such.
I am building an app for construction project managers and using Ollama in development to have AI capabilities. I used my last $5 to get deepseek API (top up), but I find that its not exactly usable.
I don’t want it to read any drawings. I want it to help me out locally so that when I preparing my lawsuits, disputing things like extra costs, or charging extra, it can help me.
If I am able to fine tune it, then it can suggest preventive measures prior to a huge cost. Once fine tuned, I aim to host via runpod (but I am still researching).
My issue is, i have nothing. | 2025-01-27T02:32:44 | https://www.reddit.com/r/LocalLLaMA/comments/1iaxin9/i_have_a_12gb_3060_is_it_possible_to_finetune_any/ | shakespear94 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iaxin9 | false | null | t3_1iaxin9 | /r/LocalLLaMA/comments/1iaxin9/i_have_a_12gb_3060_is_it_possible_to_finetune_any/ | false | false | self | 5 | null |
Wholesome interaction with deepseek v3 | 71 | 2025-01-27T03:01:55 | https://www.reddit.com/gallery/1iay2ik | ParadiseMaker69 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1iay2ik | false | null | t3_1iay2ik | /r/LocalLLaMA/comments/1iay2ik/wholesome_interaction_with_deepseek_v3/ | false | false | 71 | null |
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Tried to ask about Tiananmen Square then this happened… | 0 | 2025-01-27T03:02:04 | https://v.redd.it/ssyv0bcecgfe1 | kruckshanks | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1iay2mn | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/ssyv0bcecgfe1/DASHPlaylist.mpd?a=1740539378%2COTdiODg3ODE2YjJiNWYwYjVkNjNlOTRjMDg4MzFhNWQwMDkyNWI1YWVmNzdkMTkxNWNiYWM1ZDI1YWNjNmExMA%3D%3D&v=1&f=sd', 'duration': 29, 'fallback_url': 'https://v.redd.it/ssyv0bcecgfe1/DASH_720.mp4?source=fallback', 'has_audio': True, 'height': 1280, 'hls_url': 'https://v.redd.it/ssyv0bcecgfe1/HLSPlaylist.m3u8?a=1740539378%2CODQ3YmNkMzVkMzE2ZGM3MWE2MDdlYzc0MTUxYjhjMjczMmFhOWU5MWI1ZDlmZTU3NThhY2E2MWViYjNjMjc2Ng%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/ssyv0bcecgfe1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 646}} | t3_1iay2mn | /r/LocalLLaMA/comments/1iay2mn/tried_to_ask_about_tiananmen_square_then_this/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA', 'resolutions': [{'height': 214, 'url': 'https://external-preview.redd.it/MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA.png?width=108&crop=smart&format=pjpg&auto=webp&s=35fbfa2a1c3eb44b87bcc004c30089ed4f52f4e0', 'width': 108}, {'height': 428, 'url': 'https://external-preview.redd.it/MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA.png?width=216&crop=smart&format=pjpg&auto=webp&s=f910066aeedc20f45f33d74677ad1ccbeed83984', 'width': 216}, {'height': 634, 'url': 'https://external-preview.redd.it/MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA.png?width=320&crop=smart&format=pjpg&auto=webp&s=2249eec5333e2eea7c20796e6b8b6a5fa9d93851', 'width': 320}, {'height': 1269, 'url': 'https://external-preview.redd.it/MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA.png?width=640&crop=smart&format=pjpg&auto=webp&s=426369d561143def6ca11e96e895f078d9b0f190', 'width': 640}], 'source': {'height': 1758, 'url': 'https://external-preview.redd.it/MG9heDNvNWVjZ2ZlMSQUZv8gitevHljgYgtxd7-9ky8WENoO-7YRs_BN2pGA.png?format=pjpg&auto=webp&s=1f056c4912694c364b80c056965185dd0b0a4be7', 'width': 886}, 'variants': {}}]} |
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Where to find xtts2 models to compare my finetune? | 1 | Hey all!
I've been finetuning some voices for Skyrim and I know Mantella does xtts and I want to compare my results but I don't know where to get models. I've seen there's also the xtts models on nexusmods but the outputs seem completely different to mine.
Am I missing something or being dense? Currently I have a finetune output with model.json and output wav and the pth files but everything I'm finding only has the one model and a couple of json files....
I'm using alltalk2 for my generation and finetuning.
Cheers for the help! | 2025-01-27T03:16:14 | https://www.reddit.com/r/LocalLLaMA/comments/1iaycqb/where_to_find_xtts2_models_to_compare_my_finetune/ | charlieboy2001 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iaycqb | false | null | t3_1iaycqb | /r/LocalLLaMA/comments/1iaycqb/where_to_find_xtts2_models_to_compare_my_finetune/ | false | false | self | 1 | null |
I miss the days when ClosedAI was OpenAI | 132 | Since OpenAI became ClosedAI, they seem to have lost their innovativeness, under the delusion that they have created a moat that others cannot cross.
Maybe if they had continued to be OpenAI we would be seeing open source gpt5 and o5 by now. | 2025-01-27T03:23:39 | https://www.reddit.com/r/LocalLLaMA/comments/1iayi0m/i_miss_the_days_when_closedai_was_openai/ | nknnr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iayi0m | false | null | t3_1iayi0m | /r/LocalLLaMA/comments/1iayi0m/i_miss_the_days_when_closedai_was_openai/ | false | false | self | 132 | null |
Prediction of Token Generation Performance | 2 | For Llama 3.3-70b (for example) is there a way to predict token production rate by GPU system capabilities assuming other impactful parameters are held constant?
(Or maybe a rule of thumb?) | 2025-01-27T03:33:08 | https://www.reddit.com/r/LocalLLaMA/comments/1iayoiw/prediction_of_token_generation_performance/ | GaltEngineering | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iayoiw | false | null | t3_1iayoiw | /r/LocalLLaMA/comments/1iayoiw/prediction_of_token_generation_performance/ | false | false | self | 2 | null |
Can someone please answer me this question? | 1 | [removed] | 2025-01-27T03:44:46 | https://www.reddit.com/r/LocalLLaMA/comments/1iaywkn/can_someone_please_answer_me_this_question/ | Paulsybrandy1980 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iaywkn | false | null | t3_1iaywkn | /r/LocalLLaMA/comments/1iaywkn/can_someone_please_answer_me_this_question/ | false | false | self | 1 | null |
¿Cuánta RAM para ejecutar localmente? ¿ROCm o CUDA? | 1 | [removed] | 2025-01-27T03:45:31 | https://www.reddit.com/r/LocalLLaMA/comments/1iayx54/cuánta_ram_para_ejecutar_localmente_rocm_o_cuda/ | Josue999it | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iayx54 | false | null | t3_1iayx54 | /r/LocalLLaMA/comments/1iayx54/cuánta_ram_para_ejecutar_localmente_rocm_o_cuda/ | false | false | self | 1 | null |
Deepseek like a boss | 1,511 | 2025-01-27T03:52:40 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1iaz2or | false | null | t3_1iaz2or | /r/LocalLLaMA/comments/1iaz2or/deepseek_like_a_boss/ | false | false | 1,511 | {'enabled': True, 'images': [{'id': 'rDcSUyR4TL6vkPJVfkPiNze_xhsxa6rNnr3_wcqTP50', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/d6slqdvilgfe1.jpeg?width=108&crop=smart&auto=webp&s=536f49ae4c00fdba2161cd5492692e29035dc251', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/d6slqdvilgfe1.jpeg?width=216&crop=smart&auto=webp&s=1c204069be5cd27243ebd1e0db09f34732e5bddd', 'width': 216}, {'height': 320, 'url': 'https://preview.redd.it/d6slqdvilgfe1.jpeg?width=320&crop=smart&auto=webp&s=1d04129ded0318925599e60e517a7ed4de9e645c', 'width': 320}, {'height': 640, 'url': 'https://preview.redd.it/d6slqdvilgfe1.jpeg?width=640&crop=smart&auto=webp&s=5b3de28e4d080e64aa2341a87efd989cd1ede176', 'width': 640}], 'source': {'height': 680, 'url': 'https://preview.redd.it/d6slqdvilgfe1.jpeg?auto=webp&s=b9c9e34cb273f91bbb0fb9f02a0b8aa5952c39e3', 'width': 680}, 'variants': {}}]} |
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Deepseek R1: Maybe I am prompting incorrectly but wasn't impressive for me. | 1 | [removed] | 2025-01-27T04:10:14 | https://www.reddit.com/r/LocalLLaMA/comments/1iazgcj/deepseek_r1_maybe_i_am_prompting_incorrectly_but/ | isposinf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iazgcj | false | null | t3_1iazgcj | /r/LocalLLaMA/comments/1iazgcj/deepseek_r1_maybe_i_am_prompting_incorrectly_but/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'uzHoHuYzF65euLO33pE8bj7DqAbD2sD0FUyqBodk3Tg', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=108&crop=smart&auto=webp&s=3eeadabfa1b6599698bb1a0500d8328b61038b8d', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=216&crop=smart&auto=webp&s=bcf64a090a99ee1f0569eed45bc1b12b57d1c3f3', 'width': 216}, {'height': 179, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=320&crop=smart&auto=webp&s=5210b91da98af0362f93623a73747010e97db1b1', 'width': 320}, {'height': 359, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=640&crop=smart&auto=webp&s=706ec678461c64e4dae87fe0a5c1824292833c21', 'width': 640}, {'height': 539, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=960&crop=smart&auto=webp&s=864451206412dcb17be8d9f8c32da2fa96d96623', 'width': 960}, {'height': 606, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?width=1080&crop=smart&auto=webp&s=3552e86891211c5d11322fbc0de51269065eb0b7', 'width': 1080}], 'source': {'height': 1404, 'url': 'https://external-preview.redd.it/smct_A71iT6IAJ1Vriww_U9WfZXwDe0PFcp-wn1RZTY.jpg?auto=webp&s=703d5375bbd3200aef38a636264e9deb7cab3763', 'width': 2500}, 'variants': {}}]} |
Did Gemini just leak its internal API? What other commands are known? | 0 | 2025-01-27T04:12:32 | https://www.reddit.com/gallery/1iazi35 | RetiredApostle | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1iazi35 | false | null | t3_1iazi35 | /r/LocalLLaMA/comments/1iazi35/did_gemini_just_leak_its_internal_api_what_other/ | false | false | 0 | null |
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@emostaque : The future is local inference | 66 | 2025-01-27T04:12:37 | MrWidmoreHK | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1iazi5b | false | null | t3_1iazi5b | /r/LocalLLaMA/comments/1iazi5b/emostaque_the_future_is_local_inference/ | false | false | 66 | {'enabled': True, 'images': [{'id': 'LGgYUm9a2Vp3WmZADs5ORqNBaop-17RVvBtBqyxFw5I', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=108&crop=smart&auto=webp&s=261143238dff99cb732757e73031352cd0f80ca0', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=216&crop=smart&auto=webp&s=c5e8c07ab03fb358027d89a1189021fd7ca2fbd4', 'width': 216}, {'height': 640, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=320&crop=smart&auto=webp&s=2a620c5c9c454295841c20208d57175788b7d4db', 'width': 320}, {'height': 1280, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=640&crop=smart&auto=webp&s=68ee5a33606cf09deb184841e83242faf9fb6f01', 'width': 640}, {'height': 1920, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=960&crop=smart&auto=webp&s=0abb3e65cd094ac8953b24de067db96a0bcfec90', 'width': 960}, {'height': 2160, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?width=1080&crop=smart&auto=webp&s=fadfbb334b5d978a5decd1bbebc58c5ddc6c1131', 'width': 1080}], 'source': {'height': 2405, 'url': 'https://preview.redd.it/56cwsgs2pgfe1.jpeg?auto=webp&s=02b70595bb5782e2bd2415e42ca425fd0dd8705a', 'width': 1080}, 'variants': {}}]} |
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Deepseek is Down! | 13 | 2025-01-27T04:18:50 | https://www.reddit.com/r/LocalLLaMA/comments/1iazmuw/deepseek_is_down/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iazmuw | false | null | t3_1iazmuw | /r/LocalLLaMA/comments/1iazmuw/deepseek_is_down/ | false | false | 13 | null |
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Can a Ryzen 7 4700s (it hasrun a 7b LLM? | 1 | I was planning on buying a pc in the future, and I found these kits for around 300 dollars in my country(they probably shouldn't be that expensive though ). They come with 8 cores and 16 threads at 3.6 ghz(I think its the processor they use in the PS5, but without gpu) , and 16 GB of ddr6 ram.Since the ram is fast, at least in comparison with ddr5, Could it be a good option for running a 7b model ( or something similar) only on cpu? Has anyone tried this?
The link has the full specs | 2025-01-27T04:38:52 | https://www.cpu-monkey.com/en/cpu-amd_ryzen_7_4700s | BugVegetable4220 | cpu-monkey.com | 1970-01-01T00:00:00 | 0 | {} | 1iazz71 | false | null | t3_1iazz71 | /r/LocalLLaMA/comments/1iazz71/can_a_ryzen_7_4700s_it_hasrun_a_7b_llm/ | false | false | default | 1 | null |
Minimal openwebui installation | 1 | Is there any fork of openwebui or anything else i can use with ollama with minimal features for chatting. I love openwebui for its excellent UI but i dont need most of its features, just a bare minimum chat app would suffice. | 2025-01-27T04:39:33 | https://www.reddit.com/r/LocalLLaMA/comments/1iazzm9/minimal_openwebui_installation/ | timedacorn369 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iazzm9 | false | null | t3_1iazzm9 | /r/LocalLLaMA/comments/1iazzm9/minimal_openwebui_installation/ | false | false | self | 1 | null |
R1 odd e test | 10 | this is one of my favorite reasoning tests to do whenever a new model comes out because it requires them to correctly conceptualize all numbers, as well as fend off the sycophantic bias to assume the user is giving a valid task. | 2025-01-27T04:40:26 | Sl33py_4est | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib005m | false | null | t3_1ib005m | /r/LocalLLaMA/comments/1ib005m/r1_odd_e_test/ | false | false | 10 | {'enabled': True, 'images': [{'id': 'c1i8IaTuTFisWGPYKWjn-m76e3_RUbRmvzEASrSPNCg', 'resolutions': [{'height': 208, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=108&crop=smart&auto=webp&s=aee44d9ac19618f798f709caa97a3f61234de916', 'width': 108}, {'height': 417, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=216&crop=smart&auto=webp&s=cc3b1b9c3c7ec3c6a8c991f4d76998e20761b4b7', 'width': 216}, {'height': 618, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=320&crop=smart&auto=webp&s=6a77435f329b46c54bc20a331d271c59b590c0cf', 'width': 320}, {'height': 1236, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=640&crop=smart&auto=webp&s=9062aadae18902f485f2109f9a7961275e1b4bf3', 'width': 640}, {'height': 1854, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=960&crop=smart&auto=webp&s=8878162b88491969b743bfc03930349b2afd9aa0', 'width': 960}, {'height': 2085, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?width=1080&crop=smart&auto=webp&s=c0b61e8873039aec99c09ba3ae4ef1a4b5d9707b', 'width': 1080}], 'source': {'height': 2277, 'url': 'https://preview.redd.it/kezgv3d1ugfe1.jpeg?auto=webp&s=0fb28ac88d52b28498bb92b5f29d1f807fc8cae8', 'width': 1179}, 'variants': {}}]} |
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Can a Ryzen 7 4700s (it has gddr6 ram) run in models? | 2 | I was planning on buying a pc in the future, and I found these kits for around 300 dollars in my country(they probably shouldn't be that expensive though ). They come with 8 cores and 16 threads at 3.6 ghz(I think its the processor they use in the PS5, but without gpu) , and 16 GB of ddr6 ram.Since the ram is fast, at least in comparison with ddr5, Could it be a good option for running a 7b model ( or something similar) only on cpu? Has anyone tried this?
The link has the full specs. | 2025-01-27T04:43:34 | https://www.cpu-monkey.com/en/cpu-amd_ryzen_7_4700s | BugVegetable4220 | cpu-monkey.com | 1970-01-01T00:00:00 | 0 | {} | 1ib023z | false | null | t3_1ib023z | /r/LocalLLaMA/comments/1ib023z/can_a_ryzen_7_4700s_it_has_gddr6_ram_run_in_models/ | false | false | default | 2 | null |
DiffuEraser (A Diffusion Model for Video Inpainting) | 9 | 2025-01-27T04:51:26 | https://www.reddit.com/r/LocalLLaMA/comments/1ib06vw/diffueraser_a_diffusion_model_for_video_inpainting/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib06vw | false | null | t3_1ib06vw | /r/LocalLLaMA/comments/1ib06vw/diffueraser_a_diffusion_model_for_video_inpainting/ | false | false | 9 | {'enabled': False, 'images': [{'id': 'PFYPWVTNbSBk7vQ_H14wISuuwQKqEEXuP5i2MW7WYus', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=108&crop=smart&auto=webp&s=25ebf84a6901ec54a5ca5f96ebabccf4c1d73800', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=216&crop=smart&auto=webp&s=ae990b51087d64a4470e723e80092473712517c3', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=320&crop=smart&auto=webp&s=e4b663cbab33738daf759c6314cb8f9843c2ec5d', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=640&crop=smart&auto=webp&s=dda9b6d3b97904ad3935ec5b2b381bf79efb6893', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=960&crop=smart&auto=webp&s=ebceb9662a5c55649006f153de45a048887cd885', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?width=1080&crop=smart&auto=webp&s=40d335653d55f5624d01efb16b76b7cc0d011438', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/xTfpnlDR9-iRMRIBbsfB-p_MgIOhRee3fSWY5BjHOdY.jpg?auto=webp&s=e89d0361c4cf3165e093439a52dc2c6dcb35e9b2', 'width': 1200}, 'variants': {}}]} |
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How to make Deepseek overthink? | 1 | like literally, how long can you go with the thinking partl? what is the point of diminishing returns? how to make it to prompt itself(if that's what it is) i don't know how it works and I'd love to. i don't even know what i'm asking even possible.
an additional thing i don't know: how llms determine the length of their response, is the token count determined when processing the prompt before generating text? | 2025-01-27T04:53:17 | https://www.reddit.com/r/LocalLLaMA/comments/1ib080p/how_to_make_deepseek_overthink/ | flatminded | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib080p | false | null | t3_1ib080p | /r/LocalLLaMA/comments/1ib080p/how_to_make_deepseek_overthink/ | false | false | self | 1 | null |
Deepseek who? Llama is still king | 0 | I tried a simple query on the distilled deepseek-r1 models (1.5B, 7B, 8B, 14B) versus llama3.2 (3B).
The query is a variant of the strawberry test:
\>> wie viele F sind in dem Wort Schifffahrtsgesellschaftskapitän?
LLama3.2 was the only one to get the correct result. The full answers are here: [https://x.com/0x53A/status/1883726959886340562](https://x.com/0x53A/status/1883726959886340562)
As a quick note, deepseek-r1:8b is based on llama3.1, so it would be interesting to see how a theoretical deepseek model based on llama3.2 would fare against it. | 2025-01-27T04:53:56 | https://www.reddit.com/r/LocalLLaMA/comments/1ib08g6/deepseek_who_llama_is_still_king/ | 0x53A | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib08g6 | false | null | t3_1ib08g6 | /r/LocalLLaMA/comments/1ib08g6/deepseek_who_llama_is_still_king/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'AtAYm0aq2c4J6eym1YsTXScuCcTIDF3nUesul522Yek', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/Hx01KKA_sX9ZAlvIUF1lV0nz3_v3y_WzE2g2M4dnaxc.jpg?width=108&crop=smart&auto=webp&s=69c59ec7b4bd469c6e45684e2a16aedb77326fc1', 'width': 108}], 'source': {'height': 200, 'url': 'https://external-preview.redd.it/Hx01KKA_sX9ZAlvIUF1lV0nz3_v3y_WzE2g2M4dnaxc.jpg?auto=webp&s=426778747de5bfadfacdb9ea4bfe20f92fda8d0a', 'width': 200}, 'variants': {}}]} |
how would you go about creating your own version of Operator using Open Ai sources , which tools would you use and how would you approach it? | 1 | [removed] | 2025-01-27T05:01:20 | https://www.reddit.com/r/LocalLLaMA/comments/1ib0d6l/how_would_you_go_about_creating_your_own_version/ | CluelessTreat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib0d6l | false | null | t3_1ib0d6l | /r/LocalLLaMA/comments/1ib0d6l/how_would_you_go_about_creating_your_own_version/ | false | false | self | 1 | null |
From this week's The Economist: "China’s AI industry has almost caught up with America’s" | 197 | 2025-01-27T05:04:42 | https://www.economist.com/briefing/2025/01/23/chinas-ai-industry-has-almost-caught-up-with-americas | comfyui_user_999 | economist.com | 1970-01-01T00:00:00 | 0 | {} | 1ib0ffq | false | null | t3_1ib0ffq | /r/LocalLLaMA/comments/1ib0ffq/from_this_weeks_the_economist_chinas_ai_industry/ | false | false | 197 | {'enabled': False, 'images': [{'id': 'e-PhFtkskBqvi3Pn-X76xwn8h4b8m1nhEMDfubshbm0', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=108&crop=smart&auto=webp&s=edfa6df7f12fb43fe952308a57a20bb81068c090', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=216&crop=smart&auto=webp&s=ea7e031ae3f3197d9826d6411d5c892ad7cf56fb', 'width': 216}, {'height': 180, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=320&crop=smart&auto=webp&s=6131e2b4b4d8785f7cbdbb155eca1a4ea766affc', 'width': 320}, {'height': 360, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=640&crop=smart&auto=webp&s=c1461e932e29591186828398f4de9362c5ad8106', 'width': 640}, {'height': 540, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=960&crop=smart&auto=webp&s=51997d6cc79ecb34c2981bb2098ad0ac974bad33', 'width': 960}, {'height': 607, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?width=1080&crop=smart&auto=webp&s=c73f0f178cade953dd4ce385f826ef1e3dde8082', 'width': 1080}], 'source': {'height': 720, 'url': 'https://external-preview.redd.it/C2yiTG1ri5iDyKLc-Vn_3V_ISkOymhbpYsu1RacQ-tE.jpg?auto=webp&s=e8e986a590fc73fafbeae4dfb8615717372f5fc9', 'width': 1280}, 'variants': {}}]} |
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How do I run open source LLMs locally? | 0 | So far, I have been using closed source LLMs from various providers. Our organization is moving to open source and they want me to list down the requirements for it. I know we can use GPU. But is there any way that i can run LLMs locally or through google colab. How do i use its endpoint in my code if i am running it in google colab?
I have also been hearing about quantization and that there are quantized models available. I know nothing about it.
Knowledgeable folks do provide your suggestions below. | 2025-01-27T05:27:08 | https://www.reddit.com/r/LocalLLaMA/comments/1ib0ste/how_do_i_run_open_source_llms_locally/ | Available-Stress8598 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib0ste | false | null | t3_1ib0ste | /r/LocalLLaMA/comments/1ib0ste/how_do_i_run_open_source_llms_locally/ | false | false | self | 0 | null |
Added DeepSeek R1 & Heinlein's Lunar Supercomputer, Mike, to my downloadable LLM forecast tool. Compare to Llama, ChatGPT though 2030. | 1 | [removed] | 2025-01-27T05:37:35 | https://www.reddit.com/r/LocalLLaMA/comments/1ib0yss/added_deepseek_r1_heinleins_lunar_supercomputer/ | 64NOMIS | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib0yss | false | null | t3_1ib0yss | /r/LocalLLaMA/comments/1ib0yss/added_deepseek_r1_heinleins_lunar_supercomputer/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'chb6xLzyBoEMju075fpuXruHHqLOif9ICbuq0v9Adp0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=108&crop=smart&auto=webp&s=4ce3631863856f1e096aa6d62b370bad9718d5ed', 'width': 108}, {'height': 113, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=216&crop=smart&auto=webp&s=760e24378236f149de6c7451e4a8f4e224836542', 'width': 216}, {'height': 168, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=320&crop=smart&auto=webp&s=2dc3216342790c5c09f83240bb7eb7ce85b6789e', 'width': 320}, {'height': 336, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=640&crop=smart&auto=webp&s=04527ba8f2789efbddf44e2adce6edb2783703ff', 'width': 640}, {'height': 504, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=960&crop=smart&auto=webp&s=85790d188c0a71da43193ed4b7bb4395f1c57c57', 'width': 960}, {'height': 567, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?width=1080&crop=smart&auto=webp&s=1a801aa86a025a92d4e061b1b51a450cfcf5c110', 'width': 1080}], 'source': {'height': 630, 'url': 'https://external-preview.redd.it/VrYrKXVVNtK6-ymQ6meI9G-_BltM-uFhwc5laTvkwwQ.jpg?auto=webp&s=231a41a48499c9d2484bc5c120b7965517dda9ea', 'width': 1200}, 'variants': {}}]} |
AI, AGI, ASI with full Human Memory. | 1 | [removed] | 2025-01-27T05:44:40 | https://www.reddit.com/r/LocalLLaMA/comments/1ib12p0/ai_agi_asi_with_full_human_memory/ | young_b_1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib12p0 | false | null | t3_1ib12p0 | /r/LocalLLaMA/comments/1ib12p0/ai_agi_asi_with_full_human_memory/ | false | false | self | 1 | null |
What does policy mean in the context of llm RL? | 6 | And does updating policy simply mean updating the weights? | 2025-01-27T05:56:53 | https://www.reddit.com/r/LocalLLaMA/comments/1ib199m/what_does_policy_mean_in_the_context_of_llm_rl/ | Mortis200 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib199m | false | null | t3_1ib199m | /r/LocalLLaMA/comments/1ib199m/what_does_policy_mean_in_the_context_of_llm_rl/ | false | false | self | 6 | null |
SotA TTS/STT, but for accuracy and not speed. | 9 | A lot of the models and packages I find are intended for speed, live-captioning and so on, but I don't really care about those. I need one that supports multilingual English/Hebrew + translate. I have a 3090Ti so I don't think I'll need optimization, either.
So far, I've been using OpenAI's whisper - it's fine, but I feel like there's something better out there. I found one Hebrew finetune but it doesn't seem to translate to English.
Further questions: Are there ways to run the inference multiple times to get better transcriptions? Or start off with a prompt saying "this is an audio file of a physics lecture" and then it'll transcribe/translate based on that context? | 2025-01-27T05:57:28 | https://www.reddit.com/r/LocalLLaMA/comments/1ib19ll/sota_ttsstt_but_for_accuracy_and_not_speed/ | vardonir | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib19ll | false | null | t3_1ib19ll | /r/LocalLLaMA/comments/1ib19ll/sota_ttsstt_but_for_accuracy_and_not_speed/ | false | false | self | 9 | null |
Context Compression for nano LLM | 1 | When a user send a prompt, the chat will use a decision tree to select one or several higly compressed files on the topic. During this process it can trick the humain trying to speak of another thing. What do you think ? | 2025-01-27T06:01:35 | https://www.reddit.com/r/LocalLLaMA/comments/1ib1bzj/context_compression_for_nano_llm/ | Full-Engineering-418 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib1bzj | false | null | t3_1ib1bzj | /r/LocalLLaMA/comments/1ib1bzj/context_compression_for_nano_llm/ | false | false | self | 1 | null |
What it takes to run "distilled versions" of Deepseek R1 locally? | 1 | [removed] | 2025-01-27T06:12:52 | https://www.reddit.com/r/LocalLLaMA/comments/1ib1i4e/what_it_takes_to_run_distilled_versions_of/ | RGBGraphicZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib1i4e | false | null | t3_1ib1i4e | /r/LocalLLaMA/comments/1ib1i4e/what_it_takes_to_run_distilled_versions_of/ | false | false | self | 1 | null |
What's deepseek RL reward function? | 16 | I couldn't find on the paper.
Anyone knows how does the reward looks like? | 2025-01-27T06:15:16 | https://www.reddit.com/r/LocalLLaMA/comments/1ib1jdl/whats_deepseek_rl_reward_function/ | Fantastic_Climate_90 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib1jdl | false | null | t3_1ib1jdl | /r/LocalLLaMA/comments/1ib1jdl/whats_deepseek_rl_reward_function/ | false | false | self | 16 | null |
Difference in Llama 3.2 1B instruct and Llama 3.1 8B | 1 | [removed] | 2025-01-27T06:25:43 | https://www.reddit.com/r/LocalLLaMA/comments/1ib1otj/difference_in_llama_32_1b_instruct_and_llama_31_8b/ | lonesomhelme | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib1otj | false | null | t3_1ib1otj | /r/LocalLLaMA/comments/1ib1otj/difference_in_llama_32_1b_instruct_and_llama_31_8b/ | false | false | self | 1 | null |
My Take On DeepSeek-R1’s Influence on the Future | 0 | **TLDR:** * In the context of local models, I’m particularly excited to have the opportunity to train and fine-tune all types of models and modalities with highly performant compute at scale locally. Maybe a cluster of GPUs that nowadays costs $1 million could be bought for $5000 in 5 years.*
Back in the 1950s, computers were these gigantic metal boxes with very large logic gates. They were machines that usually resided in research labs and universities, and were largely out of reach for the general consumer.
In the summer of 1981, IBM released the IBM Personal Computer 5150 using off the shelf components including the Intel 8088 processor. It was the first time the consumer could interact with a real computer at a reasonably affordable price.
Analogously, AlexNet was one of the first breakthroughs that made function approximation model training and inference extremely scalable. It completely changed the perspective of the compute problem in ML.
Looking back at PCs, as time went on, increased demand of better PCs drove IBM and Intel (and later AMD) to begin a decades long war of competing and building the best CPU for consumer and, later on, data center use. Transistors became smaller, resulting in greater efficiency, which gave consumers an increased amount of compute to play with. Developers also kept improving their software’s performance by employing compiler optimizations (at the lowest level) to be able to do more with less. This drive towards efficiency made it possible for a lot of compute problems to be solvable and within reach.
I believe DeepSeek is about to, or has already, kickstarted a new growth phase in ML. ML research labs are going to realize that for the same amount of compute, they can do a lot more by optimizing the way their models are trained and fine-tuned. Models will keep reaching convergence much faster than before with the same amount of compute by optimizing policies and equations that govern model architectures.
Companies that sell compute are going to want to keep selling their products every year, maintaining a stream of income that, ideally, grows of course. Companies building general purpose accelerated chips such as Nvidia, Microsoft, Apple, Amazon, Meta, and so many more are going to compete to provide the latest and fastest.
While tech has grown a lot over the past decade, there was a time in the 2010s where, every year, Apple released iPhones that were 10x than the previous generation. Nowadays it’s harder to get those type of leaps, but I hope and believe this fierce competition between players across the technology stack, from hardware to research to consumer products, is going to create some amazing things at a rapid rate in the near future.
In the context of local models, I’m particularly excited to have the opportunity to train and fine-tune all types of models and modalities with highly performant compute at scale locally. Maybe a cluster of GPUs that nowadays costs $1 million could be bought for $5000 in 5 years. | 2025-01-27T06:43:01 | https://www.reddit.com/r/LocalLLaMA/comments/1ib1xu4/my_take_on_deepseekr1s_influence_on_the_future/ | Delicious-Ad-3552 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib1xu4 | false | null | t3_1ib1xu4 | /r/LocalLLaMA/comments/1ib1xu4/my_take_on_deepseekr1s_influence_on_the_future/ | false | false | self | 0 | null |
A chatbot app that lets you force r1 models to think for as long as you wish (♾️). Details in comments | 1 | 2025-01-27T06:50:44 | https://v.redd.it/pj2nkrjxfhfe1 | anzorq | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib21w6 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/pj2nkrjxfhfe1/DASHPlaylist.mpd?a=1740552658%2CODAwNTE2MzkxZDhmNzEzOGJkN2I5ODcxODE1NjM1Njc2ZjM2MmVkMmFlNmVjNzEwOWMwYjA3YjQwMjQ5YjAyMg%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/pj2nkrjxfhfe1/DASH_1080.mp4?source=fallback', 'has_audio': False, 'height': 1350, 'hls_url': 'https://v.redd.it/pj2nkrjxfhfe1/HLSPlaylist.m3u8?a=1740552658%2CN2NkZjM2YjMxZTY2YWUwYWM3MTQyOGEzMWNmNGFiOGU3Nzk0MDk5YWRkY2Y4NWFhMTAzZDIxODA0MzliMTUxMQ%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/pj2nkrjxfhfe1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1080}} | t3_1ib21w6 | /r/LocalLLaMA/comments/1ib21w6/a_chatbot_app_that_lets_you_force_r1_models_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9', 'resolutions': [{'height': 135, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=108&crop=smart&format=pjpg&auto=webp&s=3da5da4decb4973cfd0ff15d782520bca71b4641', 'width': 108}, {'height': 270, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=216&crop=smart&format=pjpg&auto=webp&s=527d6f6a06cd33a821763ac1b0b764dbcaed5b3a', 'width': 216}, {'height': 400, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=320&crop=smart&format=pjpg&auto=webp&s=457ff9142a4e1fe20b3d3e0d4730f8d342508f25', 'width': 320}, {'height': 800, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=640&crop=smart&format=pjpg&auto=webp&s=11ea6ddfdebccb43e6fea4673caab71d0e675d97', 'width': 640}, {'height': 1200, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=960&crop=smart&format=pjpg&auto=webp&s=475c7d0c068e7fa58f646dc6db307a04f4d500f6', 'width': 960}, {'height': 1350, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=1080&crop=smart&format=pjpg&auto=webp&s=b7940f9b451a610868747ee518f4d9ca4bf7fb6d', 'width': 1080}], 'source': {'height': 1350, 'url': 'https://external-preview.redd.it/dml2bW94anhmaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?format=pjpg&auto=webp&s=2863613eb5f1c14d36bb3a8124446b38de9503fb', 'width': 1080}, 'variants': {}}]} |
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today is a happy day, wanna share this song with ya all. | 1 | [removed] | 2025-01-27T06:56:30 | https://www.reddit.com/r/LocalLLaMA/comments/1ib24to/today_is_a_happy_day_wanna_share_this_song_with/ | wo-tatatatatata | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib24to | false | null | t3_1ib24to | /r/LocalLLaMA/comments/1ib24to/today_is_a_happy_day_wanna_share_this_song_with/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'FuePTqNqNIo804CYhYqKjaNdVKGWVSpbC4-pLxdiOhw', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/aD5ncRNFdHoLzGea8wmuE9KL4ISdjHeVCVIlRJh8C7U.jpg?width=108&crop=smart&auto=webp&s=4e68fedbd7d86cc0f4f6783c184ab94620c251d0', 'width': 108}, {'height': 162, 'url': 'https://external-preview.redd.it/aD5ncRNFdHoLzGea8wmuE9KL4ISdjHeVCVIlRJh8C7U.jpg?width=216&crop=smart&auto=webp&s=8511c5bfd1bd441801ca5ff8df4e5be040ca3f78', 'width': 216}, {'height': 240, 'url': 'https://external-preview.redd.it/aD5ncRNFdHoLzGea8wmuE9KL4ISdjHeVCVIlRJh8C7U.jpg?width=320&crop=smart&auto=webp&s=e2c8c18a035149a1449e963c01b1dbc9fa2bd61e', 'width': 320}], 'source': {'height': 360, 'url': 'https://external-preview.redd.it/aD5ncRNFdHoLzGea8wmuE9KL4ISdjHeVCVIlRJh8C7U.jpg?auto=webp&s=19f5f26c2ec2881503331783184e59d0968a4acc', 'width': 480}, 'variants': {}}]} |
A chatbot app that lets you force r1 models to think for as long as you wish (♾️). Details in comments | 1 | 2025-01-27T06:59:19 | https://v.redd.it/oilinu00ihfe1 | anzorq | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib2690 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/oilinu00ihfe1/DASHPlaylist.mpd?a=1740553173%2CYmZkMmEwODk5NzU5MzYyZTUwNTcxOTI3OTdiODkyNmQ0NDkzY2ZiMzE0NmViNmM5MWM5OWQzZDU5YmYxM2EyNw%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/oilinu00ihfe1/DASH_1080.mp4?source=fallback', 'has_audio': False, 'height': 1350, 'hls_url': 'https://v.redd.it/oilinu00ihfe1/HLSPlaylist.m3u8?a=1740553173%2CMTJmNWFhOWFkZTRmZGJkYzVmOTE4Nzg0ODBjMjIwZDFkNDIwNTdlMGJjOWJlZGI5MDY5YTA4MDk2YmVkMGIzNA%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/oilinu00ihfe1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1080}} | t3_1ib2690 | /r/LocalLLaMA/comments/1ib2690/a_chatbot_app_that_lets_you_force_r1_models_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9', 'resolutions': [{'height': 135, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=108&crop=smart&format=pjpg&auto=webp&s=8ba481256a6fd798a7bdae34256f3be73d3a291f', 'width': 108}, {'height': 270, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=216&crop=smart&format=pjpg&auto=webp&s=5aaa4198e54986b6a483a4a1a8500fd9ee7b7845', 'width': 216}, {'height': 400, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=320&crop=smart&format=pjpg&auto=webp&s=482ad08a5b71232ca8ca3c25faaf4b974755d572', 'width': 320}, {'height': 800, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=640&crop=smart&format=pjpg&auto=webp&s=e71e8f4cdb443282e8a619e36ab6399bebb4530a', 'width': 640}, {'height': 1200, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=960&crop=smart&format=pjpg&auto=webp&s=624466f754e5fdde419e03630101d8c644beb3cf', 'width': 960}, {'height': 1350, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=1080&crop=smart&format=pjpg&auto=webp&s=cd75dfcb313a1097bdbcb7b585a8c2ab295995c3', 'width': 1080}], 'source': {'height': 1350, 'url': 'https://external-preview.redd.it/NzI4MWI0Z3RpaGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?format=pjpg&auto=webp&s=63174c934d021b71fa72157c2c33e9f759cd6027', 'width': 1080}, 'variants': {}}]} |
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Chatbot that lets you force r1 models to think for as long as you wish. Details in comments | 1 | 2025-01-27T07:07:24 | https://v.redd.it/n054e0p2khfe1 | anzorq | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib2ahv | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/n054e0p2khfe1/DASHPlaylist.mpd?a=1740553657%2CNjk0YTc4MWIxODAwNDQxYTQzZGYwYWY3YzUwMDExZjhlYWRiZWY2OTE4OTM3MzJkZmZjMmY5NTc2YTRlYmY4YQ%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/n054e0p2khfe1/DASH_1080.mp4?source=fallback', 'has_audio': False, 'height': 1350, 'hls_url': 'https://v.redd.it/n054e0p2khfe1/HLSPlaylist.m3u8?a=1740553657%2COGZhMWZhM2FmYTg2ZGFjZTdhNjdlNGNhNTk3YjA2MmJlNmY3MDA3YTQwZjQxZWNmOTA1MWI1YmYwNDMyM2U2NA%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/n054e0p2khfe1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1080}} | t3_1ib2ahv | /r/LocalLLaMA/comments/1ib2ahv/chatbot_that_lets_you_force_r1_models_to_think/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'd3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9', 'resolutions': [{'height': 135, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=108&crop=smart&format=pjpg&auto=webp&s=96fdb9adb4e5fc68ab7e25398de5d66941ad6b1c', 'width': 108}, {'height': 270, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=216&crop=smart&format=pjpg&auto=webp&s=84f5d6ea705eda21c55d4f18f1fb451d91e11113', 'width': 216}, {'height': 400, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=320&crop=smart&format=pjpg&auto=webp&s=0c7a7f677aa4a1f49674744c163d278723e15298', 'width': 320}, {'height': 800, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=640&crop=smart&format=pjpg&auto=webp&s=4df38f3112b40e0f48120259a59786b1e218bf1e', 'width': 640}, {'height': 1200, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=960&crop=smart&format=pjpg&auto=webp&s=1a9f4817ab314da9066c7c5a7bdf7b23a5b6c677', 'width': 960}, {'height': 1350, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?width=1080&crop=smart&format=pjpg&auto=webp&s=5903c7294cbd745daf777d406aafc691db992ae3', 'width': 1080}], 'source': {'height': 1350, 'url': 'https://external-preview.redd.it/d3NmOTEzcDJraGZlMQ-Y_nspVqRuENfEqKSBWaLfxAxl82wv6S6Ho3TY9Ea9.png?format=pjpg&auto=webp&s=8261734d7f96654c0803d2ee6de722a28426d1fc', 'width': 1080}, 'variants': {}}]} |
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Distilled R1 not nearly as good as non-distilled R1 | 1 | [removed] | 2025-01-27T07:13:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2dcx/distilled_r1_not_nearly_as_good_as_nondistilled_r1/ | charlyarly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2dcx | false | null | t3_1ib2dcx | /r/LocalLLaMA/comments/1ib2dcx/distilled_r1_not_nearly_as_good_as_nondistilled_r1/ | false | false | self | 1 | null |
DeepSeek R1 Overthinker: a free chatbot that lets you force r1 models to think for as long as you wish | 1 | [removed] | 2025-01-27T07:15:50 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2egp/deepseek_r1_overthinker_a_free_chatbot_that_lets/ | anzorq | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2egp | false | null | t3_1ib2egp | /r/LocalLLaMA/comments/1ib2egp/deepseek_r1_overthinker_a_free_chatbot_that_lets/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '26TrNOyw5mQLHQ6N91y3u6_qwpB-Wrd-3koJHd1dPAs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=108&crop=smart&auto=webp&s=d2527d90bb0d55882c7c7f7f2289e2dac4a6bd20', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=216&crop=smart&auto=webp&s=74be3e304aae2d0e6f53693cdcb3a8d9b9ec81aa', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=320&crop=smart&auto=webp&s=355ee5fda84e485ebbe84eac25ca7c1bfa97d41f', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=640&crop=smart&auto=webp&s=b440ef2fe2d1d7d4ffce5153c190b35183ef32cc', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=960&crop=smart&auto=webp&s=849e43e1606b4c32372bf36d19632d373d3724ee', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?width=1080&crop=smart&auto=webp&s=f21776dcd6edd927f603b4f27e891b36b21421b8', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/pKjKJFzzM--eCAbv02NCCsiiSeUvJlYBGzXl4HAG8wE.jpg?auto=webp&s=71dc23ea0a54ce7b21549edb66c859fb31966487', 'width': 1200}, 'variants': {}}]} |
Setting an absolute rule in DeepSeek | 1 | 2025-01-27T07:16:10 | https://v.redd.it/o71dvtamlhfe1 | Competitive_Poem53 | /r/LocalLLaMA/comments/1ib2en4/setting_an_absolute_rule_in_deepseek/ | 1970-01-01T00:00:00 | 0 | {} | 1ib2en4 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/o71dvtamlhfe1/DASHPlaylist.mpd?a=1740683777%2COGY4NjYwZjQyMWQyNjZlM2E5NjBmZDYxZTYwMWM1MmM5NzQ3NDMzNjNlZjBmMjI1MzBiM2ZmZGJiOTA3ZWM1NQ%3D%3D&v=1&f=sd', 'duration': 140, 'fallback_url': 'https://v.redd.it/o71dvtamlhfe1/DASH_720.mp4?source=fallback', 'has_audio': True, 'height': 1280, 'hls_url': 'https://v.redd.it/o71dvtamlhfe1/HLSPlaylist.m3u8?a=1740683777%2CMzc2MjM3ZGM1YWMxOWEwNzI1MjQ2YWI2NDM0YmNmZjlkN2FhNWU0ZDExMTMxMjRiMzI1NGM4MWNlMGY4NGMzZg%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/o71dvtamlhfe1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 574}} | t3_1ib2en4 | /r/LocalLLaMA/comments/1ib2en4/setting_an_absolute_rule_in_deepseek/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV.png?width=108&crop=smart&format=pjpg&auto=webp&s=5165b322634f679f3401606ef9d49fc18531d669', 'width': 108}, {'height': 432, 'url': 'https://external-preview.redd.it/YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV.png?width=216&crop=smart&format=pjpg&auto=webp&s=2d8bd69ba17b26f37b75ea1769d5de7a343e46ac', 'width': 216}, {'height': 640, 'url': 'https://external-preview.redd.it/YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV.png?width=320&crop=smart&format=pjpg&auto=webp&s=3f19d12c7992e69c95ed32f8ec4b196bb12bcdb1', 'width': 320}, {'height': 1280, 'url': 'https://external-preview.redd.it/YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV.png?width=640&crop=smart&format=pjpg&auto=webp&s=2ef1069144f483757f83b2bd836ef95b5a7dcb20', 'width': 640}], 'source': {'height': 1604, 'url': 'https://external-preview.redd.it/YTVtOGF3YW1saGZlMSJ4Zu8vOnBnOqECneDNUWfF3H10LvbChMC4e_e8sWhV.png?format=pjpg&auto=webp&s=2db9653fb3d4cbcb5219e51d9004b3ba4913900b', 'width': 720}, 'variants': {}}]} |
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DeepSeek R1 Overthinker: a free chatbot that lets you force r1 models to think for as long as you wish | 1 | [removed] | 2025-01-27T07:17:41 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1ib2fcd | false | null | t3_1ib2fcd | /r/LocalLLaMA/comments/1ib2fcd/deepseek_r1_overthinker_a_free_chatbot_that_lets/ | false | false | default | 1 | null |
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Could it be Qwen 3 / Qwen 2.5 72b Coder??!! | 18 | 2025-01-27T07:18:34 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2fqy/could_it_be_qwen_3_qwen_25_72b_coder/ | notrdm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2fqy | false | null | t3_1ib2fqy | /r/LocalLLaMA/comments/1ib2fqy/could_it_be_qwen_3_qwen_25_72b_coder/ | false | false | 18 | null |
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Where to run llama 3.2? | 1 | [removed] | 2025-01-27T07:18:49 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1ib2fvj | false | null | t3_1ib2fvj | /r/LocalLLaMA/comments/1ib2fvj/where_to_run_llama_32/ | false | false | default | 1 | null |
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Fine-Tuned SAM2 Model on X-Ray Images: Automatic Mask Generator Issue | 1 | [removed] | 2025-01-27T07:20:38 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2grn/finetuned_sam2_model_on_xray_images_automatic/ | CranberryIcy7387 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2grn | false | null | t3_1ib2grn | /r/LocalLLaMA/comments/1ib2grn/finetuned_sam2_model_on_xray_images_automatic/ | false | false | self | 1 | null |
Fine-Tuned SAM2 Model: Automatic Mask Generator Issue | 1 | [removed] | 2025-01-27T07:30:34 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2ll8/finetuned_sam2_model_automatic_mask_generator/ | Logical_Tip_3240 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2ll8 | false | null | t3_1ib2ll8 | /r/LocalLLaMA/comments/1ib2ll8/finetuned_sam2_model_automatic_mask_generator/ | false | false | self | 1 | null |
Hype Kills | 1 | [removed] | 2025-01-27T07:33:25 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2mxy/hype_kills/ | Economy_Future_6752 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2mxy | false | null | t3_1ib2mxy | /r/LocalLLaMA/comments/1ib2mxy/hype_kills/ | false | false | self | 1 | null |
It's actually crazy how insightful Deepseek is. This question completely mind broke it and it spent like 15 paragraphs debating back and forth with itself and shooting down it's own arguments trying to decide. It is legit like two real people having a debate | 1 | 2025-01-27T07:34:24 | YobaiYamete | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib2neu | false | null | t3_1ib2neu | /r/LocalLLaMA/comments/1ib2neu/its_actually_crazy_how_insightful_deepseek_is/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'V_T8csn6a0hl92cAs5izK1tUHMAsHh1s9XExu4wrjz8', 'resolutions': [{'height': 6, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=108&crop=smart&auto=webp&s=e1a3b059806d0b25328081fb0f5b8a55b05ac34e', 'width': 108}, {'height': 12, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=216&crop=smart&auto=webp&s=d4ce8271409541350500b382e9f6ad95d9850bc6', 'width': 216}, {'height': 18, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=320&crop=smart&auto=webp&s=2d5c752f429ba41f28391b7801d6dcc00caf5142', 'width': 320}, {'height': 37, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=640&crop=smart&auto=webp&s=e188359d12c7ab5f730b736868885f994adafe19', 'width': 640}, {'height': 55, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=960&crop=smart&auto=webp&s=c84265f989ba8fe144e20b98cd69d6ec6e331055', 'width': 960}, {'height': 62, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?width=1080&crop=smart&auto=webp&s=30cb7a9d3f1b61b3c22ca770ab6418f1572a334c', 'width': 1080}], 'source': {'height': 65, 'url': 'https://preview.redd.it/kcjlg4xsohfe1.png?auto=webp&s=0a11e46b5430e4b645a010ebb1de8e69ffd97a4c', 'width': 1118}, 'variants': {}}]} |
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I created a "Can you run it" tool for open source LLMs | 363 | ERROR: type should be string, got "https://github.com/Raskoll2/LLMcalc\n\nIt's extremly simple but tells you a tk/s estimate of all the quants, and how to run them e.g. 80% layer offload, KV offload, all on GPU. \n\nI have no clue if it'll run on anyone else's systems. I've tried with with linux + 1x Nvidia GPU, if anyone on other systems or multi GPU systems could relay some error messages that would be great" | 2025-01-27T07:46:52 | https://www.reddit.com/r/LocalLLaMA/comments/1ib2uuz/i_created_a_can_you_run_it_tool_for_open_source/ | MixtureOfAmateurs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib2uuz | false | null | t3_1ib2uuz | /r/LocalLLaMA/comments/1ib2uuz/i_created_a_can_you_run_it_tool_for_open_source/ | false | false | self | 363 | {'enabled': False, 'images': [{'id': 'fnPxrJnkYHGVoNXSBAFzdlh3N884cWYsLuA0snvrYuk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=108&crop=smart&auto=webp&s=85115bdd86ca4099bf8011c9c985fcd4e8d3ee4c', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=216&crop=smart&auto=webp&s=c028f55c2cdf9c54e500cc4e68cfb610900fec76', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=320&crop=smart&auto=webp&s=d4584366be465d748e244c0d8f4f75db6bcb356e', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=640&crop=smart&auto=webp&s=caeb5d6db0fdb20199d0fee67acfd0cdbc768430', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=960&crop=smart&auto=webp&s=64dad0ebba0866ee22d874c829edce699b2024e2', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?width=1080&crop=smart&auto=webp&s=d000d7da6c509a52cf4b0c8dc97432f3a68c2c39', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/a2kbMAxWjN7bmgR0HoRXmKmrus-bkDh9fDVabiJQZZ8.jpg?auto=webp&s=bdc5a0ff3663e09bdb390e2b39f7fa2ccf97925e', 'width': 1200}, 'variants': {}}]} |
Qwen 2.5 Models with 1M context length released! | 1 | Heres the blog post:
[https://x.com/Alibaba\_Qwen/status/1883557964759654608](https://x.com/Alibaba_Qwen/status/1883557964759654608)
[https://qwenlm.github.io/blog/qwen2.5-1m/](https://qwenlm.github.io/blog/qwen2.5-1m/) | 2025-01-27T08:11:52 | https://www.reddit.com/r/LocalLLaMA/comments/1ib3a0v/qwen_25_models_with_1m_context_length_released/ | myvirtualrealitymask | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib3a0v | false | null | t3_1ib3a0v | /r/LocalLLaMA/comments/1ib3a0v/qwen_25_models_with_1m_context_length_released/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'SV6SXoHHgotXVJh2sADpKpIFPalUjLpLTnimxTAVD08', 'resolutions': [{'height': 45, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=108&crop=smart&auto=webp&s=7652e8e64f97282690534217289f627bc9e0a807', 'width': 108}, {'height': 91, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=216&crop=smart&auto=webp&s=c44bf8cd042012ddc2545a3d5e33a4ab360b5420', 'width': 216}, {'height': 136, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=320&crop=smart&auto=webp&s=989b2f218a64c27f576caf0d545eba429e04558e', 'width': 320}, {'height': 272, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=640&crop=smart&auto=webp&s=db9f6db786d1d0ef1d8c057d2cfe57cc3b10fd74', 'width': 640}, {'height': 408, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=960&crop=smart&auto=webp&s=1402007d2246b2873665c70587184d71f217917a', 'width': 960}, {'height': 459, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?width=1080&crop=smart&auto=webp&s=6a174ef553d00e2054e3d3e0789ba71b9f09bfe8', 'width': 1080}], 'source': {'height': 871, 'url': 'https://external-preview.redd.it/EKzhBeQRwr8-aCI4_WYgwDDfThsrls3HJahnNX87Fy4.jpg?auto=webp&s=a7f133b54be6f7fbf4f6a888a6a5cd1aee0089fe', 'width': 2047}, 'variants': {}}]} |
Easy GPU grants for fine tuning / fun projects | 2 | Does anyone know of any easy to get gpu grants for fine tuning and / or fun projects that aren’t technical research? I’m looking for about 500 hours of MI300X / H100 so in the range of $1-2k | 2025-01-27T08:24:24 | https://www.reddit.com/r/LocalLLaMA/comments/1ib3hhb/easy_gpu_grants_for_fine_tuning_fun_projects/ | Wonderful_Alfalfa115 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib3hhb | false | null | t3_1ib3hhb | /r/LocalLLaMA/comments/1ib3hhb/easy_gpu_grants_for_fine_tuning_fun_projects/ | false | false | self | 2 | null |
I asked DeepSeek to comment on U.S. AI companies. | 1 | 2025-01-27T08:25:20 | Alternative-Duty-532 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib3hzn | false | null | t3_1ib3hzn | /r/LocalLLaMA/comments/1ib3hzn/i_asked_deepseek_to_comment_on_us_ai_companies/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'bSUc38NbhcsrOKI4xv5OH8XBROtXZSlG2ZBWJVACTJI', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=108&crop=smart&auto=webp&s=9082ea46cd3e5da2f6dce2e061f1eb150ec6886a', 'width': 108}, {'height': 143, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=216&crop=smart&auto=webp&s=5865282f52557c905bacbd4632beaebb7d85702f', 'width': 216}, {'height': 212, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=320&crop=smart&auto=webp&s=401731ada56d1056de3b25ffdf46950b1e8affd0', 'width': 320}, {'height': 424, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=640&crop=smart&auto=webp&s=2673d321e109e8ae8908178d2d76b8e28f6de62b', 'width': 640}, {'height': 637, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=960&crop=smart&auto=webp&s=8681ed61400337ee6f49353b4136a616a4e48a79', 'width': 960}, {'height': 716, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?width=1080&crop=smart&auto=webp&s=ecf94fc3124ccdb797bff362018743d6aac8fa97', 'width': 1080}], 'source': {'height': 1322, 'url': 'https://preview.redd.it/q88zeke5yhfe1.jpeg?auto=webp&s=98842480236106ffc84aaf08c21263fbf49cec89', 'width': 1992}, 'variants': {}}]} |
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I asked DeepSeek to comment on U.S. AI companies. | 333 | 2025-01-27T08:26:21 | Alternative-Duty-532 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib3igq | false | null | t3_1ib3igq | /r/LocalLLaMA/comments/1ib3igq/i_asked_deepseek_to_comment_on_us_ai_companies/ | false | false | 333 | {'enabled': True, 'images': [{'id': 'fGWFmUevKa4MDvIHPTwP5VO1kysmVIajxQjRmYxTkl8', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=108&crop=smart&auto=webp&s=842cfb69d0eb8630791b9b19204240c63bd63aa0', 'width': 108}, {'height': 143, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=216&crop=smart&auto=webp&s=8196f80efe98c410b4b2e965b203ec2a6af7c2e2', 'width': 216}, {'height': 212, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=320&crop=smart&auto=webp&s=c68066030c871fa520430d18ad9cd680996543c9', 'width': 320}, {'height': 424, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=640&crop=smart&auto=webp&s=4f61cf4623524611a6700d162f38168c64599aa7', 'width': 640}, {'height': 637, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=960&crop=smart&auto=webp&s=c7775fc978e016f591371cfab3a3d676d1e94222', 'width': 960}, {'height': 716, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?width=1080&crop=smart&auto=webp&s=53605e69cb49ccfa288d3b594953a7dc18b5adf9', 'width': 1080}], 'source': {'height': 1322, 'url': 'https://preview.redd.it/g4gno1ubyhfe1.jpeg?auto=webp&s=902d609b09eb20b02b72b7a8bc4e6858e39c866b', 'width': 1992}, 'variants': {}}]} |
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DeepSeek unhinged | 0 | Godspeed Pliny, you crazy bastard. | 2025-01-27T08:26:39 | https://www.reddit.com/gallery/1ib3ilu | AgileIndependence940 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1ib3ilu | false | null | t3_1ib3ilu | /r/LocalLLaMA/comments/1ib3ilu/deepseek_unhinged/ | false | false | 0 | null |
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Distilled sh.t packs the ooomph.. | 1 | [removed] | 2025-01-27T08:31:46 | https://www.reddit.com/r/LocalLLaMA/comments/1ib3kvg/distilled_sht_packs_the_ooomph/ | nntun03 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib3kvg | false | null | t3_1ib3kvg | /r/LocalLLaMA/comments/1ib3kvg/distilled_sht_packs_the_ooomph/ | false | false | self | 1 | null |
Run LLM locally on Android | 2 | 2025-01-27T08:47:31 | https://v.redd.it/llp8vbi22ife1 | sandoche | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib3ry8 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/llp8vbi22ife1/DASHPlaylist.mpd?a=1740559671%2CMmZjMDQ0YWJmMzYwYWY5NDRlNTAxOTNhZTY3ZTAzMzRkZGU1NGM4ZjU1ZWQ3NzIyZTUyZTQ3NmI3YjYwNDM4MA%3D%3D&v=1&f=sd', 'duration': 12, 'fallback_url': 'https://v.redd.it/llp8vbi22ife1/DASH_720.mp4?source=fallback', 'has_audio': True, 'height': 1280, 'hls_url': 'https://v.redd.it/llp8vbi22ife1/HLSPlaylist.m3u8?a=1740559671%2CODAzYzNiZjgzNjc5Mjg5NGY3ZjFkYmU3ZTlmYjEyMmFkMTY1NTE2MTQ0N2QzMTQyMzBkODE1ZDViYzQ0NTEyZA%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/llp8vbi22ife1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 576}} | t3_1ib3ry8 | /r/LocalLLaMA/comments/1ib3ry8/run_llm_locally_on_android/ | false | false | 2 | {'enabled': False, 'images': [{'id': 'eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon.png?width=108&crop=smart&format=pjpg&auto=webp&s=2adce53680a3ecca5331188d1d5c81d2987df2c3', 'width': 108}, {'height': 432, 'url': 'https://external-preview.redd.it/eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon.png?width=216&crop=smart&format=pjpg&auto=webp&s=1f2a4150d028fc6d5847016686ac3cd77f54c77d', 'width': 216}, {'height': 640, 'url': 'https://external-preview.redd.it/eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon.png?width=320&crop=smart&format=pjpg&auto=webp&s=97d74595c2cb82cb56445e20312265c096624d84', 'width': 320}, {'height': 1280, 'url': 'https://external-preview.redd.it/eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon.png?width=640&crop=smart&format=pjpg&auto=webp&s=3ed1cea0cec90cafbef93671aec23fb8271a008e', 'width': 640}], 'source': {'height': 1920, 'url': 'https://external-preview.redd.it/eHNudmRjaTIyaWZlMa2Abb99hOQyOQ71XUWNG6qkG6hM0CsQPGRGhgNwRDon.png?format=pjpg&auto=webp&s=34f0911c7001fa9604e04b98124654fe3ed26a5b', 'width': 864}, 'variants': {}}]} |
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Local Llama for Chromebook | 0 | I have been successful with deployment of tiny llama to Google Chromebook. But latency and coherence sucks. Any recommendations would be appreciated. | 2025-01-27T09:00:50 | https://www.reddit.com/r/LocalLLaMA/comments/1ib3xyg/local_llama_for_chromebook/ | bobfromthemailroom | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib3xyg | false | null | t3_1ib3xyg | /r/LocalLLaMA/comments/1ib3xyg/local_llama_for_chromebook/ | false | false | self | 0 | null |
Best framework for AI / LLM Agents development? | 1 | [removed] | 2025-01-27T09:07:20 | https://www.reddit.com/r/LocalLLaMA/comments/1ib41zc/best_framework_for_ai_llm_agents_development/ | Realistic-Platypus88 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib41zc | false | null | t3_1ib41zc | /r/LocalLLaMA/comments/1ib41zc/best_framework_for_ai_llm_agents_development/ | false | false | self | 1 | null |
DeepSeek-R-1 is so woke its worthless, why is the MSM gone wild that this thing is Great? | 0 | [removed] | 2025-01-27T09:09:43 | https://www.reddit.com/r/LocalLLaMA/comments/1ib43c5/deepseekr1_is_so_woke_its_worthless_why_is_the/ | Waste-Dimension-1681 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib43c5 | false | null | t3_1ib43c5 | /r/LocalLLaMA/comments/1ib43c5/deepseekr1_is_so_woke_its_worthless_why_is_the/ | false | false | self | 0 | null |
Nasdaq 100 futures fall over -200 points as markets react to DeepSeek release. The DeepSeek prophecy is coming true. | 0 | 2025-01-27T09:14:06 | eternviking | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib45sx | false | null | t3_1ib45sx | /r/LocalLLaMA/comments/1ib45sx/nasdaq_100_futures_fall_over_200_points_as/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'E7TM3fMoeKaTklP6TQWa8AuMQ9wqxIEb_UsEBnakq7Q', 'resolutions': [{'height': 180, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=108&crop=smart&auto=webp&s=a145cf7cc250ddfdf1ff8560f16ffd0046fc95eb', 'width': 108}, {'height': 360, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=216&crop=smart&auto=webp&s=3c7442776789cf744789a7176b2374d40c2d4883', 'width': 216}, {'height': 533, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=320&crop=smart&auto=webp&s=e22df36affc6c618c4ba0fb1336bbc498aa38e58', 'width': 320}, {'height': 1067, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=640&crop=smart&auto=webp&s=884634319bbfa35f10e98ce876d3f8401e7197a4', 'width': 640}, {'height': 1601, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=960&crop=smart&auto=webp&s=7cf83bc6df1be171b62311d953f177fc726b6d0c', 'width': 960}, {'height': 1801, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?width=1080&crop=smart&auto=webp&s=624dfbbb27b2694940ca9bc74e289f272ce41a39', 'width': 1080}], 'source': {'height': 1967, 'url': 'https://preview.redd.it/qtyz1w4q6ife1.png?auto=webp&s=8a66941c714c0edbe84be122ea09677d89892466', 'width': 1179}, 'variants': {}}]} |
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Why is DeepSeek so good? | 0 | As far as i understand language models, they require a lot of hard work to operate properly-you have to train them "by hand", which requires a big team and time.
So, how is it possible that DeepSeek, which lacks the ressources of big US AI companies, is outperforming US AI? Even if it was done in a more efficient way, this should not be possible as far as i uderstand the tech. | 2025-01-27T09:17:09 | https://www.reddit.com/r/LocalLLaMA/comments/1ib47lo/why_is_deepseek_so_good/ | Acceptable-Try-4682 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib47lo | false | null | t3_1ib47lo | /r/LocalLLaMA/comments/1ib47lo/why_is_deepseek_so_good/ | false | false | self | 0 | null |
Multi-agent workflow with parallelization in llama index | 1 | [removed] | 2025-01-27T09:19:07 | https://www.reddit.com/r/LocalLLaMA/comments/1ib48po/multiagent_workflow_with_parallelization_in_llama/ | Former_Trouble_4428 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib48po | false | null | t3_1ib48po | /r/LocalLLaMA/comments/1ib48po/multiagent_workflow_with_parallelization_in_llama/ | false | false | self | 1 | null |
What's wrong with FuseO1 size in ollama ? | 2 | The quantized version of fuseO1 file size is 19 gb same as r1 but while running it expands to 70-90 gb depending on availability.
In this picture it says 69 gb but if I give it another 24 gb card it expands to 84 gb. This happens with all the 32B q4 pulls of FuseO1. Thus I cannot run them on one x090 nvidia as intended.
Official R1 32b and even 70b take similar to their file size. ( Few gb more depending on context length)
Am I doing something wrong? | 2025-01-27T09:22:21 | alok_saurabh | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib4ak0 | false | null | t3_1ib4ak0 | /r/LocalLLaMA/comments/1ib4ak0/whats_wrong_with_fuseo1_size_in_ollama/ | false | false | 2 | {'enabled': True, 'images': [{'id': 'W8smm3MlU_cjPTV0DmkQeGpm5OBLTHKPhq5dwgzMLq0', 'resolutions': [{'height': 29, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=108&crop=smart&auto=webp&s=cbc262f023f81f60194f5f5d7bbac616cd60a240', 'width': 108}, {'height': 59, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=216&crop=smart&auto=webp&s=69481b9056a6500c008e9edd3a2d1ee8d0c67787', 'width': 216}, {'height': 87, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=320&crop=smart&auto=webp&s=02026aec194b6f5bbad4821a312ae501c3b93fcc', 'width': 320}, {'height': 174, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=640&crop=smart&auto=webp&s=1d5e394f3abb5b4c4d742f071f6f9ee1910bd6c7', 'width': 640}, {'height': 262, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=960&crop=smart&auto=webp&s=84428f91caeccca5b4cb7d0c4293ff06927c38ad', 'width': 960}, {'height': 295, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?width=1080&crop=smart&auto=webp&s=cf7daa138eb415a79684717ffdd9b253821f0249', 'width': 1080}], 'source': {'height': 586, 'url': 'https://preview.redd.it/xibbin8c8ife1.png?auto=webp&s=6fa25a063d4bf75e416f4813bffc0c6bd4c543e1', 'width': 2145}, 'variants': {}}]} |
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Was this about DeepSeek? Do you think he is really worried about it? | 0 | 2025-01-27T09:30:17 | AloneCoffee4538 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib4f45 | false | null | t3_1ib4f45 | /r/LocalLLaMA/comments/1ib4f45/was_this_about_deepseek_do_you_think_he_is_really/ | false | false | 0 | {'enabled': True, 'images': [{'id': '3RePqFErg7b1WHjlwqQQg-e4SxLHMzxdTO-sWEesuOM', 'resolutions': [{'height': 79, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=108&crop=smart&auto=webp&s=dc98d894150f62ed01f5dafd00fbc44ef8ac9752', 'width': 108}, {'height': 158, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=216&crop=smart&auto=webp&s=a8925081df3d2d4f84a878d7d60cc2dc637dcc50', 'width': 216}, {'height': 234, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=320&crop=smart&auto=webp&s=6733f7b09e1af8d75e6f8aa421b34163acef50ec', 'width': 320}, {'height': 469, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=640&crop=smart&auto=webp&s=c5d24d5e8766ec7429ee0a8c722185e5a1a14c1c', 'width': 640}, {'height': 704, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=960&crop=smart&auto=webp&s=1422d5a3c9fce13475d221d9c6dfb57f32b5b6f5', 'width': 960}, {'height': 792, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?width=1080&crop=smart&auto=webp&s=5b2b6ab617dba7f9677364984c6309d14895a7cf', 'width': 1080}], 'source': {'height': 865, 'url': 'https://preview.redd.it/3da33u5r9ife1.jpeg?auto=webp&s=708f1fcc1c11d4f8c363940ad2b500581855da75', 'width': 1179}, 'variants': {}}]} |
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Last code competition shows that o1 is still in the lead for competitive programming | 0 | Quite surprised since everyone around is used to saying that Claude and R1 are better than o1 at peogramming | 2025-01-27T09:33:44 | Lindayz | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib4h5o | false | null | t3_1ib4h5o | /r/LocalLLaMA/comments/1ib4h5o/last_code_competition_shows_that_o1_is_still_in/ | false | false | 0 | {'enabled': True, 'images': [{'id': '_nZuymmc558iclwBpNdPc2cpn0CvZPxU9Es4nUdJNns', 'resolutions': [{'height': 148, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=108&crop=smart&auto=webp&s=01bfba1cf466bcc28cf4e38055c70e5129305b71', 'width': 108}, {'height': 297, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=216&crop=smart&auto=webp&s=c4d87ad5a3819577c9e24fc8550560339a804217', 'width': 216}, {'height': 440, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=320&crop=smart&auto=webp&s=c29421b0a44dc1a7892f124e63304b4ee37b106f', 'width': 320}, {'height': 881, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=640&crop=smart&auto=webp&s=28bca9ca23a4b28a51e60c882c5fe9de039b539f', 'width': 640}, {'height': 1321, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=960&crop=smart&auto=webp&s=2b8839b347c96d015233b56910ebbfa36dfdb533', 'width': 960}, {'height': 1486, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?width=1080&crop=smart&auto=webp&s=afd20d5dc8967825048fa06687642809bcc43778', 'width': 1080}], 'source': {'height': 1776, 'url': 'https://preview.redd.it/9xhce9adaife1.jpeg?auto=webp&s=da8863e68510d596e8f4c09939ab4eeb8cc04645', 'width': 1290}, 'variants': {}}]} |
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Is there a good unified interface for different LLMs? | 3 | So in the past I've come across interfaces for using APIs, or even local LLMs in one place. Is there a consensus on what is the current best such interface?
And is there a way to use a ChatGPT subscription in an interface like this? (API costs for o1 are worse than using the Plus plan) Or is it only API and local stuff that can be properly integrated? | 2025-01-27T09:34:06 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4hcu/is_there_a_good_unified_interface_for_different/ | Dzsaffar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4hcu | false | null | t3_1ib4hcu | /r/LocalLLaMA/comments/1ib4hcu/is_there_a_good_unified_interface_for_different/ | false | false | self | 3 | null |
How *exactly* is Deepseek so cheap? | 607 | Deepseek's all the rage. I get it, 95-97% reduction in costs.
How \*exactly\*?
Aside from cheaper training (not doing RLHF), quantization, and caching (semantic input HTTP caching I guess?), where's the reduction coming from?
This can't be all, because supposedly R1 isn't quantized. Right?
Is it subsidized? Is OpenAI/Anthropic just...charging too much? What's the deal? | 2025-01-27T09:40:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4ksj/how_exactly_is_deepseek_so_cheap/ | micamecava | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4ksj | false | null | t3_1ib4ksj | /r/LocalLLaMA/comments/1ib4ksj/how_exactly_is_deepseek_so_cheap/ | false | false | self | 607 | null |
It was fun while it lasted. | 212 | 2025-01-27T09:50:11 | omnisvosscio | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib4qrg | false | null | t3_1ib4qrg | /r/LocalLLaMA/comments/1ib4qrg/it_was_fun_while_it_lasted/ | false | false | 212 | {'enabled': True, 'images': [{'id': 'PaP9lKJLxUhaCBdxk-qq_tvIN-NZc2B6vraXVg7Z9_I', 'resolutions': [{'height': 28, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=108&crop=smart&auto=webp&s=ae19b03bdc71fb2a73781d9c5d232d373ec36f79', 'width': 108}, {'height': 57, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=216&crop=smart&auto=webp&s=65aaaf9695b33c1ef53734aed01f8b1aae433564', 'width': 216}, {'height': 85, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=320&crop=smart&auto=webp&s=a36e32411d1440106d82759c59148d5c7f900a12', 'width': 320}, {'height': 171, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=640&crop=smart&auto=webp&s=b2e9e389c105a5198f86f71e16e2dc7186ad1daa', 'width': 640}, {'height': 257, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=960&crop=smart&auto=webp&s=753e08f607dfce5e288382d9ddfae857b6ad3b83', 'width': 960}, {'height': 289, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?width=1080&crop=smart&auto=webp&s=6b9778b157c1cb4654f188d5605b4e7025841a7c', 'width': 1080}], 'source': {'height': 466, 'url': 'https://preview.redd.it/f4z3rtg5dife1.png?auto=webp&s=0095f2adcac349b38293558df2888359db0ed8fc', 'width': 1736}, 'variants': {}}]} |
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Fine-Tuned SAM2 Model on Images: Automatic Mask Generator Issue | 1 | [removed] | 2025-01-27T09:51:51 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4rsy/finetuned_sam2_model_on_images_automatic_mask/ | Logical_Tip_3240 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4rsy | false | null | t3_1ib4rsy | /r/LocalLLaMA/comments/1ib4rsy/finetuned_sam2_model_on_images_automatic_mask/ | false | false | self | 1 | null |
What's the difference in response between the DeepSeek Chatbot UI and Running The Full 600B+ Parameter Model on 8 bare metal H100s on Vultr? | 1 | [removed] | 2025-01-27T09:54:33 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4td3/whats_the_difference_in_response_between_the/ | ItsDrDolphLundgren | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4td3 | false | null | t3_1ib4td3 | /r/LocalLLaMA/comments/1ib4td3/whats_the_difference_in_response_between_the/ | false | false | self | 1 | null |
Which libraries do you use to run GGUF models? | 1 | Hello everybody! I'm quite new at running AI on local hardware. I'm somewhat familiar with the transformers library. However, I'm a bit outdated when it comes to new tech and libraries for python.
I will need to run all kinds of models like vision or tool use models. Which framework/library would you suggest for me? | 2025-01-27T09:55:08 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4tq0/which_libraries_do_you_use_to_run_gguf_models/ | Su1tz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4tq0 | false | null | t3_1ib4tq0 | /r/LocalLLaMA/comments/1ib4tq0/which_libraries_do_you_use_to_run_gguf_models/ | false | false | self | 1 | null |
Buying m4 mac mini 16g or 24g | 1 | [removed] | 2025-01-27T09:59:42 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4wgy/buying_m4_mac_mini_16g_or_24g/ | Special_Permit_5546 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4wgy | false | null | t3_1ib4wgy | /r/LocalLLaMA/comments/1ib4wgy/buying_m4_mac_mini_16g_or_24g/ | false | false | self | 1 | null |
Built a local Llama-powered chat for Apple Notes—quick to set up, would love feedback! | 4 | Hey everyone,
I've heard some folks mention that they've built custom solutions to chat with their Apple Notes, so I decided to create one myself, but make it easy to setup for others.
I'm currently preparing it for launch and would love to hear your thoughts or feedback.
Best,
Arne | 2025-01-27T09:59:53 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4wkx/built_a_local_llamapowered_chat_for_apple/ | arne226 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4wkx | false | null | t3_1ib4wkx | /r/LocalLLaMA/comments/1ib4wkx/built_a_local_llamapowered_chat_for_apple/ | false | false | self | 4 | null |
DeepSeek R1 is painful slow on my device, is this problem with all the models or will installing large models will make it faster? | 0 | Hello, I had installed DeepSeek R1 14b model around 3-4 days ago and it was taking 5-10 minutes for asking even basic questions not even question even for replying to a Hello, it took 5 minutes, I want to develop a small personalized chatbot for a website using Deepseek model but as it's extremely slow, I am unable to do so, if I install a larger model, will it be faster or even large models are slow, I can install upto 70b model
TLDR: Are larger deepseek model faster, I installed 14b model of deepseek using Ollama and it was really slow | 2025-01-27T10:00:18 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4wvd/deepseek_r1_is_painful_slow_on_my_device_is_this/ | Fair_Performance_290 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4wvd | false | null | t3_1ib4wvd | /r/LocalLLaMA/comments/1ib4wvd/deepseek_r1_is_painful_slow_on_my_device_is_this/ | false | false | self | 0 | null |
DeepSeek R1 is painful slow on my device, is this problem with all the models or will installing large models will make it faster? | 0 | Hello, I had installed DeepSeek R1 14b model around 3-4 days ago and it was taking 5-10 minutes for asking even basic questions not even question even for replying to a Hello, it took 5 minutes, I want to develop a small personalized chatbot for a website using Deepseek model but as it's extremely slow, I am unable to do so, if I install a larger model, will it be faster or even large models are slow, I can install upto 70b model
TLDR: Are larger deepseek model faster, I installed 14b model of deepseek using Ollama and it was really slow | 2025-01-27T10:00:30 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4x0m/deepseek_r1_is_painful_slow_on_my_device_is_this/ | Fair_Performance_290 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4x0m | false | null | t3_1ib4x0m | /r/LocalLLaMA/comments/1ib4x0m/deepseek_r1_is_painful_slow_on_my_device_is_this/ | false | false | self | 0 | null |
Deepseek down? | 1 | 2025-01-27T10:01:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ib4xk1/deepseek_down/ | HIVVIH | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib4xk1 | false | null | t3_1ib4xk1 | /r/LocalLLaMA/comments/1ib4xk1/deepseek_down/ | false | false | 1 | null |
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Any sources about the TOTAL DeepSeek R1 training costs? | 1 | I only see the 5.57M from V3, but no mention to the V3->R1 costs | 2025-01-27T10:17:56 | https://www.reddit.com/r/LocalLLaMA/comments/1ib5846/any_sources_about_the_total_deepseek_r1_training/ | Neat-Computer-6975 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib5846 | false | null | t3_1ib5846 | /r/LocalLLaMA/comments/1ib5846/any_sources_about_the_total_deepseek_r1_training/ | false | false | self | 1 | null |
Ollama DeepSeek-R1-Distill-Qwen-32B | 1 | The only pullable DeepSeek-R1-Distill-Qwen-32B model I can see on ollama is hengwen/DeepSeek-R1-Distill-Qwen-32B:q4_k_m but it seems to be only Chinese, is the an English one somewhere? | 2025-01-27T10:50:23 | https://www.reddit.com/r/LocalLLaMA/comments/1ib5smm/ollama_deepseekr1distillqwen32b/ | NaiRogers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib5smm | false | null | t3_1ib5smm | /r/LocalLLaMA/comments/1ib5smm/ollama_deepseekr1distillqwen32b/ | false | false | self | 1 | null |
deepseek r1 tops the creative writing rankings | 346 | 2025-01-27T11:00:18 | Still_Potato_415 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib5yuk | false | null | t3_1ib5yuk | /r/LocalLLaMA/comments/1ib5yuk/deepseek_r1_tops_the_creative_writing_rankings/ | false | false | 346 | {'enabled': True, 'images': [{'id': 'Jc0wltHXqb-CKDJshni3zNN7f45DW4uzVxaRMm4KYcI', 'resolutions': [{'height': 82, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=108&crop=smart&auto=webp&s=aa50b55e535f9573afa0583ad258d19839fcbbf6', 'width': 108}, {'height': 165, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=216&crop=smart&auto=webp&s=d5ca9f65508c3860c52f2a9f959f88434479462f', 'width': 216}, {'height': 244, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=320&crop=smart&auto=webp&s=c69ab44e8b81b356694029742e5d94ee954b359c', 'width': 320}, {'height': 488, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=640&crop=smart&auto=webp&s=0c3efe198ef9c53da2bdad4be41459ab90d46ec7', 'width': 640}, {'height': 733, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=960&crop=smart&auto=webp&s=ec975e9fb47c7b8b3dfd56f373e1f6f15c8a002b', 'width': 960}, {'height': 825, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?width=1080&crop=smart&auto=webp&s=e0c42bf0cca0949d1ad3358f43751038718c7ec8', 'width': 1080}], 'source': {'height': 1638, 'url': 'https://preview.redd.it/yslsnd6fpife1.png?auto=webp&s=8b93c0758bb36df93d3b4bea568f6fb16e973e4e', 'width': 2144}, 'variants': {}}]} |
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RAG in Business: Insights, Use Cases, and Technologies for Structured Data | 1 | [removed] | 2025-01-27T11:01:35 | https://www.reddit.com/r/LocalLLaMA/comments/1ib5zuc/rag_in_business_insights_use_cases_and/ | lirones | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib5zuc | false | null | t3_1ib5zuc | /r/LocalLLaMA/comments/1ib5zuc/rag_in_business_insights_use_cases_and/ | false | false | self | 1 | null |
Suggest a prompt optimizer/improver tool | 1 | [removed] | 2025-01-27T11:06:39 | https://www.reddit.com/r/LocalLLaMA/comments/1ib63ct/suggest_a_prompt_optimizerimprover_tool/ | Perfect_Ad3146 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib63ct | false | null | t3_1ib63ct | /r/LocalLLaMA/comments/1ib63ct/suggest_a_prompt_optimizerimprover_tool/ | false | false | self | 1 | null |
Help with browser-use WebUI + Kluster AI (Custom API) | 1 | [removed] | 2025-01-27T11:06:42 | https://www.reddit.com/r/LocalLLaMA/comments/1ib63e0/help_with_browseruse_webui_kluster_ai_custom_api/ | Fox-Lopsided | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib63e0 | false | null | t3_1ib63e0 | /r/LocalLLaMA/comments/1ib63e0/help_with_browseruse_webui_kluster_ai_custom_api/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'YvkDV79d9ut7ApnjJg3zJwKUiMY9V6zK1UJkgnuYcWY', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=108&crop=smart&auto=webp&s=b6d4a9466e570d389188e24af75180255bb37da7', 'width': 108}, {'height': 113, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=216&crop=smart&auto=webp&s=4f903b231d22fa19c1c01b9d66c5b9b8564246a2', 'width': 216}, {'height': 168, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=320&crop=smart&auto=webp&s=c4c38bdc08e2b53cce959a427e19aa591bc64050', 'width': 320}, {'height': 336, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=640&crop=smart&auto=webp&s=1d3ed9f94cb5edb007f860ae53066f1ca706accd', 'width': 640}, {'height': 504, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=960&crop=smart&auto=webp&s=6348ecf532db39d8eeb00e6b85006d4a4d244866', 'width': 960}, {'height': 567, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=1080&crop=smart&auto=webp&s=a62c03facfc3aa3c5a8328f061d89edf7d9cff36', 'width': 1080}], 'source': {'height': 945, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?auto=webp&s=bd50092485ba35c5ffc13130a53c20a774cd0bc9', 'width': 1800}, 'variants': {}}]} |
Please help me with browser-use and kluster.ai | 1 | [removed] | 2025-01-27T11:07:39 | https://www.reddit.com/r/LocalLLaMA/comments/1ib641w/please_help_me_with_browseruse_and_klusterai/ | Fox-Lopsided | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib641w | false | null | t3_1ib641w | /r/LocalLLaMA/comments/1ib641w/please_help_me_with_browseruse_and_klusterai/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'YvkDV79d9ut7ApnjJg3zJwKUiMY9V6zK1UJkgnuYcWY', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=108&crop=smart&auto=webp&s=b6d4a9466e570d389188e24af75180255bb37da7', 'width': 108}, {'height': 113, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=216&crop=smart&auto=webp&s=4f903b231d22fa19c1c01b9d66c5b9b8564246a2', 'width': 216}, {'height': 168, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=320&crop=smart&auto=webp&s=c4c38bdc08e2b53cce959a427e19aa591bc64050', 'width': 320}, {'height': 336, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=640&crop=smart&auto=webp&s=1d3ed9f94cb5edb007f860ae53066f1ca706accd', 'width': 640}, {'height': 504, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=960&crop=smart&auto=webp&s=6348ecf532db39d8eeb00e6b85006d4a4d244866', 'width': 960}, {'height': 567, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=1080&crop=smart&auto=webp&s=a62c03facfc3aa3c5a8328f061d89edf7d9cff36', 'width': 1080}], 'source': {'height': 945, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?auto=webp&s=bd50092485ba35c5ffc13130a53c20a774cd0bc9', 'width': 1800}, 'variants': {}}]} |
Browser-use and kluster.ai - Please help | 1 | [removed] | 2025-01-27T11:08:21 | https://www.reddit.com/r/LocalLLaMA/comments/1ib64gu/browseruse_and_klusterai_please_help/ | Fox-Lopsided | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib64gu | false | null | t3_1ib64gu | /r/LocalLLaMA/comments/1ib64gu/browseruse_and_klusterai_please_help/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'YvkDV79d9ut7ApnjJg3zJwKUiMY9V6zK1UJkgnuYcWY', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=108&crop=smart&auto=webp&s=b6d4a9466e570d389188e24af75180255bb37da7', 'width': 108}, {'height': 113, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=216&crop=smart&auto=webp&s=4f903b231d22fa19c1c01b9d66c5b9b8564246a2', 'width': 216}, {'height': 168, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=320&crop=smart&auto=webp&s=c4c38bdc08e2b53cce959a427e19aa591bc64050', 'width': 320}, {'height': 336, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=640&crop=smart&auto=webp&s=1d3ed9f94cb5edb007f860ae53066f1ca706accd', 'width': 640}, {'height': 504, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=960&crop=smart&auto=webp&s=6348ecf532db39d8eeb00e6b85006d4a4d244866', 'width': 960}, {'height': 567, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?width=1080&crop=smart&auto=webp&s=a62c03facfc3aa3c5a8328f061d89edf7d9cff36', 'width': 1080}], 'source': {'height': 945, 'url': 'https://external-preview.redd.it/6LPUM1zQpVWtbVFx2flIROBOjVMD98dirJ0ZN9IDWcM.jpg?auto=webp&s=bd50092485ba35c5ffc13130a53c20a774cd0bc9', 'width': 1800}, 'variants': {}}]} |
Suggest a prompt optimizer tool | 1 | [removed] | 2025-01-27T11:10:00 | https://www.reddit.com/r/LocalLLaMA/comments/1ib65kp/suggest_a_prompt_optimizer_tool/ | Perfect_Ad3146 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib65kp | false | null | t3_1ib65kp | /r/LocalLLaMA/comments/1ib65kp/suggest_a_prompt_optimizer_tool/ | false | false | self | 1 | null |
Just a reminder of the cost of censorship | 0 | 2025-01-27T11:19:42 | https://v.redd.it/hhk68gn9tife1 | LucasNoritomi | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib6c1v | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/hhk68gn9tife1/DASHPlaylist.mpd?a=1740568798%2CNjZkZWJmMjU2ODA2YjU0NzAwZmU5MmQ1YzY1N2VmZDNiNWEzNTY2ZTgwYTE0OTY3Mzk4YWEzYTU4ZWFlMWZiNg%3D%3D&v=1&f=sd', 'duration': 13, 'fallback_url': 'https://v.redd.it/hhk68gn9tife1/DASH_480.mp4?source=fallback', 'has_audio': True, 'height': 854, 'hls_url': 'https://v.redd.it/hhk68gn9tife1/HLSPlaylist.m3u8?a=1740568798%2CYTQ4ZjBlNmM3ODllNzVkMDhiYTU5OWYwYzFkM2JkYTFiMzY2NTkwYzA2Mjc5NTk1YmZmN2JjNWJjNzE2OTNjNg%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/hhk68gn9tife1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 384}} | t3_1ib6c1v | /r/LocalLLaMA/comments/1ib6c1v/just_a_reminder_of_the_cost_of_censorship/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'NjE3YTBhZzl0aWZlMYiNTG4MzlL2kZJisi0nLJ77zazSV0ls4mtA1LpOcg_z', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/NjE3YTBhZzl0aWZlMYiNTG4MzlL2kZJisi0nLJ77zazSV0ls4mtA1LpOcg_z.png?width=108&crop=smart&format=pjpg&auto=webp&s=e136a943b8ab476b18e7ae2e46050f9f5f3e3c31', 'width': 108}, {'height': 432, 'url': 'https://external-preview.redd.it/NjE3YTBhZzl0aWZlMYiNTG4MzlL2kZJisi0nLJ77zazSV0ls4mtA1LpOcg_z.png?width=216&crop=smart&format=pjpg&auto=webp&s=e946ba57c16426d96900a4ddf50636c21143d736', 'width': 216}, {'height': 640, 'url': 'https://external-preview.redd.it/NjE3YTBhZzl0aWZlMYiNTG4MzlL2kZJisi0nLJ77zazSV0ls4mtA1LpOcg_z.png?width=320&crop=smart&format=pjpg&auto=webp&s=91f960eccc8b5c0d262c8cd64fed82df0c77e632', 'width': 320}], 'source': {'height': 1280, 'url': 'https://external-preview.redd.it/NjE3YTBhZzl0aWZlMYiNTG4MzlL2kZJisi0nLJ77zazSV0ls4mtA1LpOcg_z.png?format=pjpg&auto=webp&s=27971e07603abb94c7d05c6a7ec5d758f28b2792', 'width': 573}, 'variants': {}}]} |
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DeepSeek R1 told me it's developed by OpenAI ! | 1 | 2025-01-27T11:23:37 | alishokoohi666 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib6er6 | false | null | t3_1ib6er6 | /r/LocalLLaMA/comments/1ib6er6/deepseek_r1_told_me_its_developed_by_openai/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'ug2iLpP2l2mBTas_Noi681CgURQvKg7iuhv13PjnCBw', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=108&crop=smart&auto=webp&s=c9fd5f34818f74b64158b082400f3b25819151c5', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=216&crop=smart&auto=webp&s=3f1d55168c90956a72a8070224e0eb88b199c3a0', 'width': 216}, {'height': 180, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=320&crop=smart&auto=webp&s=611246f8043ca855e3b892c2ca2a13a7f1165865', 'width': 320}, {'height': 360, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=640&crop=smart&auto=webp&s=432cf0009dd319499310a4fd26ab5e4d08cdce16', 'width': 640}, {'height': 540, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=960&crop=smart&auto=webp&s=c064a6f2357e6400f884182cfcfac47eb492643c', 'width': 960}, {'height': 607, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?width=1080&crop=smart&auto=webp&s=ca114acd57e354dd5d8ff375e1fc28827cbac91e', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://preview.redd.it/2onw0m3xtife1.png?auto=webp&s=1c40b0c1879a1b16968f6ca0d53fac81fc8794d5', 'width': 1920}, 'variants': {}}]} |
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DeepSeek R1 told me it's developed by OpenAI ! | 1 | 2025-01-27T11:36:45 | alishokoohi666 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ib6nmx | false | null | t3_1ib6nmx | /r/LocalLLaMA/comments/1ib6nmx/deepseek_r1_told_me_its_developed_by_openai/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'P57Anx4Ta-066Jn9goSpLQwVSTQb08gLF8Xoek02sY4', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=108&crop=smart&auto=webp&s=ab8a52ebcc84016ddbb836d5857f8e01ecf850cf', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=216&crop=smart&auto=webp&s=b1441228dfc140746c6853dc177c5c2011c61218', 'width': 216}, {'height': 180, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=320&crop=smart&auto=webp&s=84534d61b9d9d4097fadd0d62716551794160dd6', 'width': 320}, {'height': 360, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=640&crop=smart&auto=webp&s=1c0544ca3d3ec39637eb0d0b95c2f42f1515d54f', 'width': 640}, {'height': 540, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=960&crop=smart&auto=webp&s=a12af8742aa8024567e439ffd16789e52fa84748', 'width': 960}, {'height': 607, 'url': 'https://preview.redd.it/xg433wh8wife1.png?width=1080&crop=smart&auto=webp&s=fcd52b1c5e19dcbf1ca0c521b84604c5ad5e6ef4', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://preview.redd.it/xg433wh8wife1.png?auto=webp&s=929c7ac13fea7fee5019c06b6f6e1b871316a66f', 'width': 1920}, 'variants': {}}]} |
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DeepSeek Buzz Puts Tech Stocks on Track for $1 Trillion Wipeout | 5 | [https://finance.yahoo.com/news/nasdaq-futures-slump-china-deepseek-022904517.html](https://finance.yahoo.com/news/nasdaq-futures-slump-china-deepseek-022904517.html)
*BREAKING: Nasdaq 100 futures crash -1,100 POINTS as pre-market selling accelerates on worries of DeepSeek dethroning US Tech.*
*Now on track for its biggest 1-day loss since September 2022.*
The Kobeissi Letter: [https://x.com/KobeissiLetter/status/1883831022149927352](https://x.com/KobeissiLetter/status/1883831022149927352)
https://preview.redd.it/7xvpd7covife1.jpg?width=747&format=pjpg&auto=webp&s=abf855acbf53716b1e422a7cb2e08758f33b58df
Bloomberg: DeepSeek Buzz Puts Tech Stocks on Track for $1.2 Trillion Drop: [https://www.bloomberg.com/news/articles/2025-01-27/nasdaq-futures-slump-as-china-s-deepseek-sparks-us-tech-concern](https://www.bloomberg.com/news/articles/2025-01-27/nasdaq-futures-slump-as-china-s-deepseek-sparks-us-tech-concern)
Markets Insider: Nvidia tumbles and tech stocks slide premarket as China's DeepSeek spooks AI investors: [https://markets.businessinsider.com/news/stocks/nvidia-tech-stocks-deepseek-ai-race-nasdaq-2025-1?op=1](https://markets.businessinsider.com/news/stocks/nvidia-tech-stocks-deepseek-ai-race-nasdaq-2025-1?op=1)
Business Insider: Chinese AI lab DeepSeek massively undercuts OpenAI on pricing — and that's spooking tech stocks: [https://www.businessinsider.com/chinese-ai-lab-deepseek-massively-undercuts-openai-on-pricing-2025-1](https://www.businessinsider.com/chinese-ai-lab-deepseek-massively-undercuts-openai-on-pricing-2025-1) | 2025-01-27T11:37:03 | https://www.reddit.com/r/LocalLLaMA/comments/1ib6nu7/deepseek_buzz_puts_tech_stocks_on_track_for_1/ | Nunki08 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib6nu7 | false | null | t3_1ib6nu7 | /r/LocalLLaMA/comments/1ib6nu7/deepseek_buzz_puts_tech_stocks_on_track_for_1/ | false | false | 5 | {'enabled': False, 'images': [{'id': 'k96qJ243MAhwOFrp8aFBFKBo-T4xGTxJNfMnmJIJjFc', 'resolutions': [{'height': 72, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=108&crop=smart&auto=webp&s=d74f97aa10a3adb7aa4fe483113d8e9aabf7d3a6', 'width': 108}, {'height': 144, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=216&crop=smart&auto=webp&s=ffd7808decf527d9b690d12f9d46409353f411a2', 'width': 216}, {'height': 213, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=320&crop=smart&auto=webp&s=1455994049497fb4768cf37226a371d374dee0cd', 'width': 320}, {'height': 427, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=640&crop=smart&auto=webp&s=afaea8e40351183f5920c9db4f99e0609821d291', 'width': 640}, {'height': 640, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=960&crop=smart&auto=webp&s=352429212aa2f3b07b5e0cf9a3ecd9c3c00d56ed', 'width': 960}, {'height': 720, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?width=1080&crop=smart&auto=webp&s=7e1b11e94df17bb66eed0d18452ead4b3966c4c0', 'width': 1080}], 'source': {'height': 800, 'url': 'https://external-preview.redd.it/pUh_-3OKqJu3jrxiCfa8jBRPR_UOZ5zCUEoeYoWzDUY.jpg?auto=webp&s=2f732587ad255d75de105e2febd6a1a75cd3b89a', 'width': 1199}, 'variants': {}}]} |
|
Creating customizable voice agent for low latency Conversational AI project | 2 | Hi everyone,
I’m currently working on a project to build a low-latency conversational AI system with customizable voice agents, and I’m curious to hear how you guys have tackled similar challenges. I want to have either fully offline system or fully online system, my hardware is Jetson Orin AGX. The only important consideration is speed.
| 2025-01-27T11:44:48 | https://www.reddit.com/r/LocalLLaMA/comments/1ib6t5l/creating_customizable_voice_agent_for_low_latency/ | bdiler1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib6t5l | false | null | t3_1ib6t5l | /r/LocalLLaMA/comments/1ib6t5l/creating_customizable_voice_agent_for_low_latency/ | false | false | self | 2 | null |
How much should I offload to GPU for best performance. | 0 | I am running **Deepseek R1 1.5b** from **unsloth**, in **lmstudio**, on a laptop with core **i5 8th gen and uhd620** graphics. In the model settings there's a **gpu offload slider** that goes from 0 to 28. How much should I select in that slider? The integrated uhd620 isn't powerful so selecting 28 makes it slower, by default it's set to 0 which is also slow compared to selecting a value in between. I am looking for the sweet spot. Thanks. | 2025-01-27T11:44:59 | https://www.reddit.com/r/LocalLLaMA/comments/1ib6t9x/how_much_should_i_offload_to_gpu_for_best/ | InternalVolcano | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib6t9x | false | null | t3_1ib6t9x | /r/LocalLLaMA/comments/1ib6t9x/how_much_should_i_offload_to_gpu_for_best/ | false | false | self | 0 | null |
How many people do you think dismissed DeepSeek as hype after trying it without R1? | 0 | 2025-01-27T11:46:55 | https://www.reddit.com/gallery/1ib6um8 | omnisvosscio | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1ib6um8 | false | null | t3_1ib6um8 | /r/LocalLLaMA/comments/1ib6um8/how_many_people_do_you_think_dismissed_deepseek/ | false | false | 0 | null |
||
Same model on Ollama performing worse than Cloud providers (Groq, HF, ...) | 2 | Hello.
I have a prompt that returns a wrong answer to a question when asking LLama hosted on Ollama. However, when asking the same model hosted on Groq or Hugging Face or any other cloud provider I get a correct answer to the question.
The prompt is a RAG prompt, it contains instructions, context and a question. The context and the question are in portuguese. However, I am sending exactly the same prompt in all situations. Why do they all answer correctly but the Ollama one does not?
I am going insane over this, I would thank any help. | 2025-01-27T11:46:59 | https://www.reddit.com/r/LocalLLaMA/comments/1ib6unq/same_model_on_ollama_performing_worse_than_cloud/ | ParaplegicGuru | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ib6unq | false | null | t3_1ib6unq | /r/LocalLLaMA/comments/1ib6unq/same_model_on_ollama_performing_worse_than_cloud/ | false | false | self | 2 | null |
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