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Strange Results Running dots.llm1 instruct IQ4_XS? | 1 | [removed] | 2025-06-23T21:30:58 | https://www.reddit.com/r/LocalLLaMA/comments/1lit36k/strange_results_running_dotsllm1_instruct_iq4_xs/ | random-tomato | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lit36k | false | null | t3_1lit36k | /r/LocalLLaMA/comments/1lit36k/strange_results_running_dotsllm1_instruct_iq4_xs/ | false | false | self | 1 | null |
🧠💬 Introducing AI Dialogue Duo – A Two-AI Conversational Roleplay System (Open Source) | 1 | [removed] | 2025-06-23T21:33:49 | https://www.reddit.com/r/LocalLLaMA/comments/1lit5t3/introducing_ai_dialogue_duo_a_twoai/ | Reasonable_Brief578 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lit5t3 | false | null | t3_1lit5t3 | /r/LocalLLaMA/comments/1lit5t3/introducing_ai_dialogue_duo_a_twoai/ | false | false | self | 1 | null |
Prompt Playground - app for comparing and fine-tuning LLM prompts | 1 | [removed] | 2025-06-23T21:39:18 | https://www.reddit.com/r/LocalLLaMA/comments/1litaod/prompt_playground_app_for_comparing_and/ | shaypser1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1litaod | false | null | t3_1litaod | /r/LocalLLaMA/comments/1litaod/prompt_playground_app_for_comparing_and/ | false | false | self | 1 | null |
How much power would one need to run their own Deepseek? | 1 | [removed] | 2025-06-23T21:44:11 | https://www.reddit.com/r/LocalLLaMA/comments/1litewp/how_much_power_would_one_need_to_run_their_own/ | IZA_does_the_art | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1litewp | false | null | t3_1litewp | /r/LocalLLaMA/comments/1litewp/how_much_power_would_one_need_to_run_their_own/ | false | false | self | 1 | null |
Introducing the First AI Agent for System Performance Debugging | 1 | [removed] | 2025-06-23T22:33:28 | https://www.reddit.com/r/LocalLLaMA/comments/1liumf6/introducing_the_first_ai_agent_for_system/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1liumf6 | false | null | t3_1liumf6 | /r/LocalLLaMA/comments/1liumf6/introducing_the_first_ai_agent_for_system/ | false | false | 1 | null |
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Local LLM-Based AI Agent for Automated System Performance Debugging | 1 | [removed] | 2025-06-23T22:47:40 | https://www.reddit.com/r/LocalLLaMA/comments/1liuydy/local_llmbased_ai_agent_for_automated_system/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1liuydy | false | null | t3_1liuydy | /r/LocalLLaMA/comments/1liuydy/local_llmbased_ai_agent_for_automated_system/ | false | false | 1 | null |
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The Local LLM Research Challenge: Can Your Model Match GPT-4's ~95% Accuracy? | 1 | [removed] | 2025-06-23T23:14:34 | https://www.reddit.com/r/LocalLLaMA/comments/1livkug/the_local_llm_research_challenge_can_your_model/ | ComplexIt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1livkug | false | null | t3_1livkug | /r/LocalLLaMA/comments/1livkug/the_local_llm_research_challenge_can_your_model/ | false | false | self | 1 | null |
Can I usw my old PC as server? | 1 | [removed] | 2025-06-23T23:43:24 | https://www.reddit.com/r/LocalLLaMA/comments/1liw7y7/can_i_usw_my_old_pc_as_server/ | Odd-Name-1556 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1liw7y7 | false | null | t3_1liw7y7 | /r/LocalLLaMA/comments/1liw7y7/can_i_usw_my_old_pc_as_server/ | false | false | self | 1 | null |
Uncensored model with persistent memory that works as an assistent? | 1 | [removed] | 2025-06-24T00:02:09 | https://www.reddit.com/r/LocalLLaMA/comments/1liwmip/uncensored_model_with_persistent_memory_that/ | Born_Ground_8919 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1liwmip | false | null | t3_1liwmip | /r/LocalLLaMA/comments/1liwmip/uncensored_model_with_persistent_memory_that/ | false | false | self | 1 | null |
What's the best nsfw llm that I can run on my 5090? | 1 | [removed] | 2025-06-24T01:38:57 | https://www.reddit.com/r/LocalLLaMA/comments/1liylsy/whats_the_best_nsfw_llm_that_i_can_run_on_my_5090/ | jwheeler2210 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1liylsy | false | null | t3_1liylsy | /r/LocalLLaMA/comments/1liylsy/whats_the_best_nsfw_llm_that_i_can_run_on_my_5090/ | false | false | nsfw | 1 | null |
Unlimited llm usage !!! How much are we willing to pay? | 1 | [removed]
[View Poll](https://www.reddit.com/poll/1lizq99) | 2025-06-24T02:34:15 | https://www.reddit.com/r/LocalLLaMA/comments/1lizq99/unlimited_llm_usage_how_much_are_we_willing_to_pay/ | Inevitable-Orange-43 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lizq99 | false | null | t3_1lizq99 | /r/LocalLLaMA/comments/1lizq99/unlimited_llm_usage_how_much_are_we_willing_to_pay/ | false | false | self | 1 | null |
GPU Upgrade on an Outdated Build or Start Fresh? | 1 | [removed] | 2025-06-24T02:41:12 | https://www.reddit.com/r/LocalLLaMA/comments/1lizv4y/gpu_upgrade_on_an_outdated_build_or_start_fresh/ | swanlake523 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lizv4y | false | null | t3_1lizv4y | /r/LocalLLaMA/comments/1lizv4y/gpu_upgrade_on_an_outdated_build_or_start_fresh/ | false | false | self | 1 | null |
Is it possible to de-align models? | 1 | [removed] | 2025-06-24T02:44:31 | https://www.reddit.com/r/LocalLLaMA/comments/1lizxhs/is_it_possible_to_dealign_models/ | Remarkable_Story_310 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lizxhs | false | null | t3_1lizxhs | /r/LocalLLaMA/comments/1lizxhs/is_it_possible_to_dealign_models/ | false | false | self | 1 | null |
bought a tower with an rtx 4090 and want to install another rtx 4090 externally | 1 | [removed] | 2025-06-24T02:51:19 | https://www.reddit.com/r/LocalLLaMA/comments/1lj029h/bought_a_tower_with_an_rtx_4090_and_want_to/ | vegatx40 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj029h | false | null | t3_1lj029h | /r/LocalLLaMA/comments/1lj029h/bought_a_tower_with_an_rtx_4090_and_want_to/ | false | false | self | 1 | null |
Mistral-Small got an update | 1 | [removed] | 2025-06-24T03:20:31 | https://www.reddit.com/r/LocalLLaMA/comments/1lj0mpl/mistralsmall_got_an_update/ | ttkciar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj0mpl | false | null | t3_1lj0mpl | /r/LocalLLaMA/comments/1lj0mpl/mistralsmall_got_an_update/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=108&crop=smart&auto=webp&s=bcb646eb0d29b10fc855c3faa4ec547bea3a2720', 'width': 108}, {'height': 116, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=216&crop=smart&auto=webp&s=43fd06237effb7db42d0b231837877b44670b382', 'width': 216}, {'height': 172, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=320&crop=smart&auto=webp&s=b95bc86800ee6d461774335ad44f7519511a85b6', 'width': 320}, {'height': 345, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=640&crop=smart&auto=webp&s=7d6eecbfa2b523b92f82faf94cb6ab334696d320', 'width': 640}, {'height': 518, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=960&crop=smart&auto=webp&s=6fc9407f8e748429d8a0d15bbec6f96d9d690998', 'width': 960}, {'height': 583, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?width=1080&crop=smart&auto=webp&s=de77ea1d525b070640d5462af0d097b7745389d8', 'width': 1080}], 'source': {'height': 648, 'url': 'https://external-preview.redd.it/3DBqKqgOLKDMFbcrOD5Qa-3M1IIegLfhMX6TTbsgXeU.png?auto=webp&s=11ce1d231d2822ed08cc0aa2b21835ed4e44be72', 'width': 1200}, 'variants': {}}]} |
Maybe stupid question but, Why can't Field Specific models be ridden of unnecessary information? Wouldn't that make them better? | 1 | [removed] | 2025-06-24T04:04:59 | https://www.reddit.com/gallery/1lj1gro | HareMayor | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1lj1gro | false | null | t3_1lj1gro | /r/LocalLLaMA/comments/1lj1gro/maybe_stupid_question_but_why_cant_field_specific/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo', 'resolutions': [{'height': 39, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=108&crop=smart&auto=webp&s=58fb216f58d0193ed0f7e3062368f3ef886776ee', 'width': 108}, {'height': 79, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=216&crop=smart&auto=webp&s=e5f2365afc79eb8d859859db3fb488d9a515de8f', 'width': 216}, {'height': 117, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=320&crop=smart&auto=webp&s=b8a2e70e7da456f4aa6548c641f6a0664efd4da3', 'width': 320}, {'height': 235, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=640&crop=smart&auto=webp&s=fff2875c78a06d2d704ae40352ead4f1bf064b63', 'width': 640}, {'height': 353, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=960&crop=smart&auto=webp&s=271655900357b6347bd606d6025746860b63b321', 'width': 960}, {'height': 397, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?width=1080&crop=smart&auto=webp&s=f1592f6d3fa59dae2873544e84d4e9c6cc00ee5a', 'width': 1080}], 'source': {'height': 706, 'url': 'https://external-preview.redd.it/G7k-TQabDNi3vQVw1KUm6Tp7frp2cVPQpNw402uPmIo.png?auto=webp&s=6408807cd2f1b84238839672b986ab3f7438a1f6', 'width': 1919}, 'variants': {}}]} |
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A test method to assess whether LLMs actually "think" | 1 | [removed] | 2025-06-24T04:08:31 | https://www.reddit.com/r/LocalLLaMA/comments/1lj1j27/a_test_method_to_assess_whether_llms_actually/ | Upper-Pressure-1954 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj1j27 | false | null | t3_1lj1j27 | /r/LocalLLaMA/comments/1lj1j27/a_test_method_to_assess_whether_llms_actually/ | false | false | self | 1 | null |
I built a LOCAL OS that makes LLMs into REAL autonomous agents (no more prompt-chaining BS | 1 | [removed] | 2025-06-24T04:49:51 | https://github.com/iluxu/llmbasedos | iluxu | github.com | 1970-01-01T00:00:00 | 0 | {} | 1lj29ii | false | null | t3_1lj29ii | /r/LocalLLaMA/comments/1lj29ii/i_built_a_local_os_that_makes_llms_into_real/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=108&crop=smart&auto=webp&s=a039e85e21244846e59cda2e2fa470b632a56517', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=216&crop=smart&auto=webp&s=fc557569e8d3dc1d683e0fbde49c6f2eb6b8e6fd', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=320&crop=smart&auto=webp&s=0837e00c95dd63d9212b87ade993484a3476cc59', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=640&crop=smart&auto=webp&s=ce34684f3aa976d02a2f499fc0eb34b3f97fa4e5', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=960&crop=smart&auto=webp&s=92ced45a74ba15ccec4bb6b7ce9dad8c14b166e0', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?width=1080&crop=smart&auto=webp&s=07beda6bd982529a0e7c7c4067b995b5d94f03a7', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/jgEuQnheBQAiYNAguw1V1SKJQxy22rvASFf_3EqKWfI.png?auto=webp&s=32747b04c151cb7321fa91f3af41805878e16d09', 'width': 1200}, 'variants': {}}]} |
|
Phi-tiny-MoE & Phi-mini-MoE released | 1 | [removed] | 2025-06-24T05:47:13 | https://huggingface.co/microsoft/Phi-mini-MoE-instruct | kristaller486 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1lj37y8 | false | null | t3_1lj37y8 | /r/LocalLLaMA/comments/1lj37y8/phitinymoe_phiminimoe_released/ | false | false | default | 1 | null |
Phi-mini-MoE & Phi-tiny-MoE | 1 | 2025-06-24T05:48:20 | https://huggingface.co/microsoft/Phi-mini-MoE-instruct | kristaller486 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1lj38kr | false | null | t3_1lj38kr | /r/LocalLLaMA/comments/1lj38kr/phiminimoe_phitinymoe/ | false | false | default | 1 | null |
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Just open-sourced Eion - a shared memory system for AI agents | 1 | [removed] | 2025-06-24T06:14:35 | https://www.reddit.com/r/LocalLLaMA/comments/1lj3nlt/just_opensourced_eion_a_shared_memory_system_for/ | 7wdb417 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj3nlt | false | null | t3_1lj3nlt | /r/LocalLLaMA/comments/1lj3nlt/just_opensourced_eion_a_shared_memory_system_for/ | false | false | self | 1 | null |
Bug Bounty Researcher | 1 | [removed] | 2025-06-24T06:23:33 | https://www.reddit.com/r/LocalLLaMA/comments/1lj3sil/bug_bounty_researcher/ | No_Paraphernalia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj3sil | false | null | t3_1lj3sil | /r/LocalLLaMA/comments/1lj3sil/bug_bounty_researcher/ | false | false | self | 1 | null |
Qualcomm adds Whisper large and medium to AI Hub Models collection | 1 | [removed] | 2025-06-24T07:05:54 | https://github.com/quic/ai-hub-models/releases/tag/v0.30.5 | Balance- | github.com | 1970-01-01T00:00:00 | 0 | {} | 1lj4g6f | false | null | t3_1lj4g6f | /r/LocalLLaMA/comments/1lj4g6f/qualcomm_adds_whisper_large_and_medium_to_ai_hub/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=108&crop=smart&auto=webp&s=8d38cad4b21aea56b376c5e9111ae872ebdeef0c', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=216&crop=smart&auto=webp&s=235df53dd55acb8560e55734aacf8e3efa67471b', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=320&crop=smart&auto=webp&s=fe27927916be2a9aef7432f02f36229b7c2e82ed', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=640&crop=smart&auto=webp&s=b200ccc0720fa1a26e8454309ab6cd651871667b', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=960&crop=smart&auto=webp&s=719e906e5ff7bd95372adafac2ba579127b8f9a6', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?width=1080&crop=smart&auto=webp&s=d15ee238427410c2bc08e31a2e1b5ca5e4205f1d', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/uYzwDTVcqVWRdorcuWeLEdil7LEtkxRhQIcQiWCygLI.png?auto=webp&s=79d657d71ad9238ddfdbbc10ed4f7056429cc65a', 'width': 1200}, 'variants': {}}]} |
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Oh shit, the user is right | 1 | [removed] | 2025-06-24T07:09:54 | cool_xixi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1lj4iae | false | null | t3_1lj4iae | /r/LocalLLaMA/comments/1lj4iae/oh_shit_the_user_is_right/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'u7uQsxFoHlA_4q5qqI6XkGin9_uKjSXrScHrF9aKtRs', 'resolutions': [{'height': 37, 'url': 'https://preview.redd.it/yumgniygrt8f1.png?width=108&crop=smart&auto=webp&s=0a0abad07258f203568de17764acf86e8eda2e43', 'width': 108}, {'height': 74, 'url': 'https://preview.redd.it/yumgniygrt8f1.png?width=216&crop=smart&auto=webp&s=432c4bc266f83459d16d3ed4e40113bcff0a8073', 'width': 216}, {'height': 110, 'url': 'https://preview.redd.it/yumgniygrt8f1.png?width=320&crop=smart&auto=webp&s=447a071328ce96e922569a8cfc95017b3957d482', 'width': 320}], 'source': {'height': 135, 'url': 'https://preview.redd.it/yumgniygrt8f1.png?auto=webp&s=842b10221050cd10a03f6f1d9d9f3b869f20fb64', 'width': 391}, 'variants': {}}]} |
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😂🏎️🏎️🏎️ | 1 | 2025-06-24T07:49:40 | codegolf-guru | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1lj53gv | false | null | t3_1lj53gv | /r/LocalLLaMA/comments/1lj53gv/_/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': '973m4slnxt8f1', 'resolutions': [{'height': 139, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=108&crop=smart&auto=webp&s=a47777d96a155d910c844b2bf720cb77c4b72dee', 'width': 108}, {'height': 278, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=216&crop=smart&auto=webp&s=7d713a39564dcf0122827803f530ee232cd5e6d0', 'width': 216}, {'height': 412, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=320&crop=smart&auto=webp&s=2ff679f3f8923524ba694ba2e71611b47840e70e', 'width': 320}, {'height': 824, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=640&crop=smart&auto=webp&s=b093873466de69a8bea6ef7033db90af14ae46ca', 'width': 640}, {'height': 1236, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=960&crop=smart&auto=webp&s=ea474171308ac85be106e33072bf763f42462ced', 'width': 960}, {'height': 1390, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?width=1080&crop=smart&auto=webp&s=6dc3b080c02868a1d11925f1588b941097a208df', 'width': 1080}], 'source': {'height': 4311, 'url': 'https://preview.redd.it/973m4slnxt8f1.png?auto=webp&s=99a95f1d493cee1dff498ff704b513f050adf030', 'width': 3348}, 'variants': {}}]} |
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Doing a half-assed RAG | 1 | [removed] | 2025-06-24T07:58:22 | https://www.reddit.com/r/LocalLLaMA/comments/1lj5829/doing_a_halfassed_rag/ | HistorianPotential48 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj5829 | false | null | t3_1lj5829 | /r/LocalLLaMA/comments/1lj5829/doing_a_halfassed_rag/ | false | false | self | 1 | null |
Best truly uncensored open-source LLM | 1 | [removed] | 2025-06-24T08:10:49 | https://www.reddit.com/r/LocalLLaMA/comments/1lj5eoq/best_truly_uncensored_opensource_llm/ | Over_Friendship3455 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj5eoq | false | null | t3_1lj5eoq | /r/LocalLLaMA/comments/1lj5eoq/best_truly_uncensored_opensource_llm/ | false | false | self | 1 | null |
What are the best AI tools that can build a web app from just a prompt? | 1 | [removed] | 2025-06-24T08:30:38 | https://www.reddit.com/r/LocalLLaMA/comments/1lj5pbj/what_are_the_best_ai_tools_that_can_build_a_web/ | netixc1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj5pbj | false | null | t3_1lj5pbj | /r/LocalLLaMA/comments/1lj5pbj/what_are_the_best_ai_tools_that_can_build_a_web/ | false | false | self | 1 | null |
How to read a text in an image which is rotated and extract the hand-marked checkbox values through prompt? | 1 | [removed] | 2025-06-24T08:44:17 | https://www.reddit.com/r/LocalLLaMA/comments/1lj5wlm/how_to_read_a_text_in_an_image_which_is_rotated/ | TariqSm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj5wlm | false | null | t3_1lj5wlm | /r/LocalLLaMA/comments/1lj5wlm/how_to_read_a_text_in_an_image_which_is_rotated/ | false | false | self | 1 | null |
Qwen2.5 14b on an M1 Pro with 16gb RAM | 1 | [removed] | 2025-06-24T09:08:13 | https://www.reddit.com/r/LocalLLaMA/comments/1lj69o2/qwen25_14b_on_an_m1_pro_with_16gb_ram/ | gamerboy12555 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj69o2 | false | null | t3_1lj69o2 | /r/LocalLLaMA/comments/1lj69o2/qwen25_14b_on_an_m1_pro_with_16gb_ram/ | false | false | self | 1 | null |
Mistral Small 3.1 Instruct suddenly a gated model | 1 | [removed] | 2025-06-24T09:18:54 | https://www.reddit.com/r/LocalLLaMA/comments/1lj6fiy/mistral_small_31_instruct_suddenly_a_gated_model/ | gustavhertz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj6fiy | false | null | t3_1lj6fiy | /r/LocalLLaMA/comments/1lj6fiy/mistral_small_31_instruct_suddenly_a_gated_model/ | false | false | 1 | null |
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what happened to this subreddit? | 1 | [removed] | 2025-06-24T09:21:35 | https://www.reddit.com/r/LocalLLaMA/comments/1lj6h1o/what_happened_to_this_subreddit/ | anonymous_anki | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj6h1o | false | null | t3_1lj6h1o | /r/LocalLLaMA/comments/1lj6h1o/what_happened_to_this_subreddit/ | false | false | self | 1 | null |
s | 1 | [removed] | 2025-06-24T09:29:44 | https://www.reddit.com/r/LocalLLaMA/comments/1lj6liy/s/ | Worthstream | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj6liy | false | null | t3_1lj6liy | /r/LocalLLaMA/comments/1lj6liy/s/ | false | false | self | 1 | null |
It's art | 1 | 2025-06-24T09:29:59 | kernel348 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1lj6lnm | false | null | t3_1lj6lnm | /r/LocalLLaMA/comments/1lj6lnm/its_art/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'fsp50n0mgu8f1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/fsp50n0mgu8f1.jpeg?width=108&crop=smart&auto=webp&s=d895b4afdbf46520df71664da11864ebe5305274', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/fsp50n0mgu8f1.jpeg?width=216&crop=smart&auto=webp&s=90fff46dec441b537768ec1ce51417f40dfa1c5c', 'width': 216}, {'height': 320, 'url': 'https://preview.redd.it/fsp50n0mgu8f1.jpeg?width=320&crop=smart&auto=webp&s=1b4083d84b5df1666383e7a64a93453c704bc013', 'width': 320}, {'height': 640, 'url': 'https://preview.redd.it/fsp50n0mgu8f1.jpeg?width=640&crop=smart&auto=webp&s=516d9baa716a6608ddbaa273d5fae4014fb64980', 'width': 640}], 'source': {'height': 736, 'url': 'https://preview.redd.it/fsp50n0mgu8f1.jpeg?auto=webp&s=e7df26c926103fb0b03454a415e114e18fb17ecd', 'width': 736}, 'variants': {}}]} |
||
Mistral-small 3.2 24B tool call parser | 1 | [removed] | 2025-06-24T09:59:54 | https://www.reddit.com/r/LocalLLaMA/comments/1lj72pt/mistralsmall_32_24b_tool_call_parser/ | Remarkable-Law9287 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj72pt | false | null | t3_1lj72pt | /r/LocalLLaMA/comments/1lj72pt/mistralsmall_32_24b_tool_call_parser/ | false | false | self | 1 | null |
why do we have to tokenize our input in huggingface but not in ollama? | 1 | [removed] | 2025-06-24T10:02:11 | https://www.reddit.com/r/LocalLLaMA/comments/1lj748z/why_do_we_have_to_tokenize_our_input_in/ | Beyond_Birthday_13 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj748z | false | null | t3_1lj748z | /r/LocalLLaMA/comments/1lj748z/why_do_we_have_to_tokenize_our_input_in/ | false | false | self | 1 | null |
I was done scrolling, so i built a Alt Tab like UI to navigate questions in ChatGPT | 1 | [removed] | 2025-06-24T10:21:47 | https://v.redd.it/6133mqg5pu8f1 | CategoryFew5869 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1lj7fs5 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/6133mqg5pu8f1/DASHPlaylist.mpd?a=1753352519%2CMjdlM2ZhNmYzZTM2OGU4ZjU0MzFiOWEwYzBkNThlYzliNDEzODYyNzBlNTFlMzYyM2IzY2JhOTIzZThiNDk1Ng%3D%3D&v=1&f=sd', 'duration': 21, 'fallback_url': 'https://v.redd.it/6133mqg5pu8f1/DASH_1080.mp4?source=fallback', 'has_audio': True, 'height': 1080, 'hls_url': 'https://v.redd.it/6133mqg5pu8f1/HLSPlaylist.m3u8?a=1753352519%2CMDRhNDgxMmFmYjM2NTlhMzU4YWI0ZWE2YWE4Yjc1ZmJmYWNlNTEwZmUzZWYwNmNmZWU4MDkwOGRkMTIwYmFkYg%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/6133mqg5pu8f1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1920}} | t3_1lj7fs5 | /r/LocalLLaMA/comments/1lj7fs5/i_was_done_scrolling_so_i_built_a_alt_tab_like_ui/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=108&crop=smart&format=pjpg&auto=webp&s=2f29e832cd817751021df2ac42a473297955b54d', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=216&crop=smart&format=pjpg&auto=webp&s=c520474474896a91341762ba6a05414542a17498', 'width': 216}, {'height': 180, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=320&crop=smart&format=pjpg&auto=webp&s=7f650c9603c218fa2e370a005bea2a473a544e22', 'width': 320}, {'height': 360, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=640&crop=smart&format=pjpg&auto=webp&s=d94fc5ef666074eaaa7950e4618af1d7d6528aef', 'width': 640}, {'height': 540, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=960&crop=smart&format=pjpg&auto=webp&s=656cd0a5be0b05d15d8c20929f15ceec65c092ac', 'width': 960}, {'height': 607, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?width=1080&crop=smart&format=pjpg&auto=webp&s=4876883cead075981a4cedcbe4233f214468142d', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://external-preview.redd.it/MGc0cnpxZzVwdThmMYC__n0Nn3l7RMQZdme2zTaTfGW2W0uGQqrbgd6LLmdx.png?format=pjpg&auto=webp&s=7559fe33c136606d80ec88fae8bdad70a9b42842', 'width': 1920}, 'variants': {}}]} |
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What is happening with r/LocalLLama? | 1 | [removed] | 2025-06-24T10:56:32 | https://www.reddit.com/r/LocalLLaMA/comments/1lj80j6/what_is_happening_with_rlocalllama/ | benja0x40 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj80j6 | false | null | t3_1lj80j6 | /r/LocalLLaMA/comments/1lj80j6/what_is_happening_with_rlocalllama/ | false | false | self | 1 | null |
Is it possible to run 2x Radeon RX 7600 XT 16 GB for local AI? | 1 | [removed] | 2025-06-24T11:41:27 | https://www.reddit.com/r/LocalLLaMA/comments/1lj8ukb/is_it_possible_to_run_2x_radeon_rx_7600_xt_16_gb/ | whatever462672 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj8ukb | false | null | t3_1lj8ukb | /r/LocalLLaMA/comments/1lj8ukb/is_it_possible_to_run_2x_radeon_rx_7600_xt_16_gb/ | false | false | self | 1 | null |
Jailbreaking Gemini | 1 | [removed] | 2025-06-24T11:48:29 | https://www.reddit.com/r/LocalLLaMA/comments/1lj8zgx/jailbreaking_gemini/ | Sufficient_Abies2479 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj8zgx | false | null | t3_1lj8zgx | /r/LocalLLaMA/comments/1lj8zgx/jailbreaking_gemini/ | false | false | self | 1 | null |
Speech to text with emotions | 1 | [removed] | 2025-06-24T12:10:33 | https://www.reddit.com/r/LocalLLaMA/comments/1lj9f72/speech_to_text_with_emotions/ | iboima | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj9f72 | false | null | t3_1lj9f72 | /r/LocalLLaMA/comments/1lj9f72/speech_to_text_with_emotions/ | false | false | self | 1 | null |
How to train AI agent with my local repository and use it in house? | 1 | [removed] | 2025-06-24T12:14:13 | https://www.reddit.com/r/LocalLLaMA/comments/1lj9hue/how_to_train_ai_agent_with_my_local_repository/ | 01101110111motiv | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj9hue | false | null | t3_1lj9hue | /r/LocalLLaMA/comments/1lj9hue/how_to_train_ai_agent_with_my_local_repository/ | false | false | self | 1 | null |
(meta question) Many comments on this sub are not visible for me | 1 | [removed] | 2025-06-24T12:33:00 | https://www.reddit.com/r/LocalLLaMA/comments/1lj9w5d/meta_question_many_comments_on_this_sub_are_not/ | ilhud9s | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj9w5d | false | null | t3_1lj9w5d | /r/LocalLLaMA/comments/1lj9w5d/meta_question_many_comments_on_this_sub_are_not/ | false | false | self | 1 | null |
Where to start learning? | 1 | [removed] | 2025-06-24T12:35:19 | https://www.reddit.com/r/LocalLLaMA/comments/1lj9xyu/where_to_start_learning/ | Ok_Caterpillar_9945 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lj9xyu | false | null | t3_1lj9xyu | /r/LocalLLaMA/comments/1lj9xyu/where_to_start_learning/ | false | false | self | 1 | null |
I Discovered the road to ASI 🧐 | 1 | [removed] | 2025-06-24T12:46:22 | https://www.reddit.com/r/LocalLLaMA/comments/1lja6ji/i_discovered_the_road_to_asi/ | 1EvilSexyGenius | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1lja6ji | false | null | t3_1lja6ji | /r/LocalLLaMA/comments/1lja6ji/i_discovered_the_road_to_asi/ | false | false | self | 1 | null |
Introducing Atria, a self-hosted AI building platform (beta launch) | 1 | [removed] | 2025-06-24T13:22:41 | https://www.reddit.com/r/LocalLLaMA/comments/1ljazob/introducing_atria_a_selfhosted_ai_building/ | StygianBlue2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljazob | false | null | t3_1ljazob | /r/LocalLLaMA/comments/1ljazob/introducing_atria_a_selfhosted_ai_building/ | false | false | self | 1 | null |
What are best LLMs in french ? | 1 | [removed] | 2025-06-24T13:23:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ljb00d/what_are_best_llms_in_french/ | Head_Mushroom_3748 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljb00d | false | null | t3_1ljb00d | /r/LocalLLaMA/comments/1ljb00d/what_are_best_llms_in_french/ | false | false | self | 1 | null |
What t f happened !!!!???? | 1 | [removed] | 2025-06-24T13:46:21 | https://www.reddit.com/r/LocalLLaMA/comments/1ljbjej/what_t_f_happened/ | Zealousideal-Cut590 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljbjej | false | null | t3_1ljbjej | /r/LocalLLaMA/comments/1ljbjej/what_t_f_happened/ | false | false | self | 1 | null |
I'm releasing my app ! | 1 | [removed] | 2025-06-24T13:51:01 | Kindly-Treacle-6378 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljbng3 | false | null | t3_1ljbng3 | /r/LocalLLaMA/comments/1ljbng3/im_releasing_my_app/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'alg4dvl6rv8f1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=108&crop=smart&auto=webp&s=725af794422dc20e1312d1a71bc585bf08bd6462', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=216&crop=smart&auto=webp&s=41a8bc8a8aee4b8d104df6abe4adb21676ca57b2', 'width': 216}, {'height': 640, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=320&crop=smart&auto=webp&s=d0e70b4991014a9cc9a87c313a649deac073b81e', 'width': 320}, {'height': 1280, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=640&crop=smart&auto=webp&s=ebd7dbad9ab0cce1f4eb81c504f58d7b2c1d8bfd', 'width': 640}, {'height': 1920, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=960&crop=smart&auto=webp&s=dec5becfd0d3459dcb393e3363dc33f759c907cd', 'width': 960}, {'height': 2160, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?width=1080&crop=smart&auto=webp&s=814c58ed276fb4e8ad328c4a50076dec263df1e9', 'width': 1080}], 'source': {'height': 2412, 'url': 'https://preview.redd.it/alg4dvl6rv8f1.png?auto=webp&s=de0b8fff02019cb0f6dd881c3b9c21848461f054', 'width': 1084}, 'variants': {}}]} |
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How many of you are using MCP? | 1 | [removed] | 2025-06-24T13:51:21 | https://www.reddit.com/r/LocalLLaMA/comments/1ljbnpk/how_many_of_you_are_using_mcp/ | Yapper_Zipper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljbnpk | false | null | t3_1ljbnpk | /r/LocalLLaMA/comments/1ljbnpk/how_many_of_you_are_using_mcp/ | false | false | self | 1 | null |
Any open source text to speech that gives you more expressive control? | 1 | [removed] | 2025-06-24T14:07:44 | https://www.reddit.com/r/LocalLLaMA/comments/1ljc24w/any_open_source_text_to_speech_that_gives_you/ | Brad12d3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljc24w | false | null | t3_1ljc24w | /r/LocalLLaMA/comments/1ljc24w/any_open_source_text_to_speech_that_gives_you/ | false | false | self | 1 | null |
LM Studio to read documents? | 1 | [removed] | 2025-06-24T14:26:56 | https://www.reddit.com/r/LocalLLaMA/comments/1ljcj7n/lm_studio_to_read_documents/ | rocky_balboa202 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljcj7n | false | null | t3_1ljcj7n | /r/LocalLLaMA/comments/1ljcj7n/lm_studio_to_read_documents/ | false | false | self | 1 | null |
Confused about serving STT and TTS concurrently through API. Any help would be appreciated! | 1 | [removed] | 2025-06-24T14:28:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ljckln/confused_about_serving_stt_and_tts_concurrently/ | learninggamdev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljckln | false | null | t3_1ljckln | /r/LocalLLaMA/comments/1ljckln/confused_about_serving_stt_and_tts_concurrently/ | false | false | self | 1 | null |
GGUF Vision Models - Does it make a difference if I pick f16 or bf16 for the mmproj file? | 1 | [removed] | 2025-06-24T14:47:13 | https://www.reddit.com/r/LocalLLaMA/comments/1ljd1t1/gguf_vision_models_does_it_make_a_difference_if_i/ | nmkd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljd1t1 | false | null | t3_1ljd1t1 | /r/LocalLLaMA/comments/1ljd1t1/gguf_vision_models_does_it_make_a_difference_if_i/ | false | false | self | 1 | null |
Automating Form Mapping with AI | 1 | [removed] | 2025-06-24T14:48:37 | https://www.reddit.com/r/LocalLLaMA/comments/1ljd355/automating_form_mapping_with_ai/ | carrick1363 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljd355 | false | null | t3_1ljd355 | /r/LocalLLaMA/comments/1ljd355/automating_form_mapping_with_ai/ | false | false | self | 1 | null |
Speed comparison for Gemma 3 27B | 1 | [removed] | 2025-06-24T14:49:25 | https://www.reddit.com/r/LocalLLaMA/comments/1ljd3uz/speed_comparison_for_gemma_3_27b/ | phazze777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljd3uz | false | null | t3_1ljd3uz | /r/LocalLLaMA/comments/1ljd3uz/speed_comparison_for_gemma_3_27b/ | false | false | self | 1 | null |
Seeking recommendations for an advanced, company-funded AI/LLM course | 1 | [removed] | 2025-06-24T14:51:05 | https://www.reddit.com/r/LocalLLaMA/comments/1ljd5co/seeking_recommendations_for_an_advanced/ | amunocis | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljd5co | false | null | t3_1ljd5co | /r/LocalLLaMA/comments/1ljd5co/seeking_recommendations_for_an_advanced/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=108&crop=smart&auto=webp&s=dd798cbbdbb71fca5a22358785768f607fd15254', 'width': 108}, {'height': 121, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=216&crop=smart&auto=webp&s=fe9285bcb4990076233792b6b1f708045d5a7738', 'width': 216}, {'height': 180, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=320&crop=smart&auto=webp&s=ff802d735110db2cc9e76f1781ea174572dcc52e', 'width': 320}, {'height': 360, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=640&crop=smart&auto=webp&s=de1eb797e9c357f23df24f55eaa5143db86b75c0', 'width': 640}, {'height': 540, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=960&crop=smart&auto=webp&s=79fb8ef9a959ba0d45e923486f3acb22fab73ece', 'width': 960}, {'height': 607, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?width=1080&crop=smart&auto=webp&s=a797243e8bbada24b41ff7717aeae84499d67b8c', 'width': 1080}], 'source': {'height': 720, 'url': 'https://external-preview.redd.it/SKRWjohBObgx3yHzNjtPrtwjGEYT8p8D_A_p6zNsKM8.png?auto=webp&s=f2bc4da7a42cb89d30554b8540fc2bc5f75ddd71', 'width': 1280}, 'variants': {}}]} |
Why aren’t there any new posts? | 1 | [removed] | 2025-06-24T15:11:55 | https://www.reddit.com/r/LocalLLaMA/comments/1ljdoxb/why_arent_there_any_new_posts/ | tubi_el_tababa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljdoxb | false | null | t3_1ljdoxb | /r/LocalLLaMA/comments/1ljdoxb/why_arent_there_any_new_posts/ | false | false | self | 1 | null |
Issues with Qwen | 1 | [removed] | 2025-06-24T15:34:38 | https://www.reddit.com/r/LocalLLaMA/comments/1ljeagz/issues_with_qwen/ | LazyChampionship5819 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljeagz | false | null | t3_1ljeagz | /r/LocalLLaMA/comments/1ljeagz/issues_with_qwen/ | false | false | 1 | null |
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Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token | 1 | [removed] | 2025-06-24T15:37:21 | ryunuck | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljed12 | false | null | t3_1ljed12 | /r/LocalLLaMA/comments/1ljed12/applying_coconut_continuous_reasoning_into_a/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': '8r7jlwzw9w8f1', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/8r7jlwzw9w8f1.png?width=108&crop=smart&auto=webp&s=f80f572936e71a88cd9a898040b4e846b610d95c', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/8r7jlwzw9w8f1.png?width=216&crop=smart&auto=webp&s=f16948d383fa9c66bc69d90abda8ddfc2ab65481', 'width': 216}, {'height': 428, 'url': 'https://preview.redd.it/8r7jlwzw9w8f1.png?width=320&crop=smart&auto=webp&s=f61a44204b1f741836c2d95ada787063b7e670b8', 'width': 320}, {'height': 856, 'url': 'https://preview.redd.it/8r7jlwzw9w8f1.png?width=640&crop=smart&auto=webp&s=5b1fd7a29771f81a5f781bcfea4d156159c8a18a', 'width': 640}], 'source': {'height': 856, 'url': 'https://preview.redd.it/8r7jlwzw9w8f1.png?auto=webp&s=8a3517bef5037f042cb21ba9c641772207850f7f', 'width': 640}, 'variants': {}}]} |
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Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token | 1 | [removed] | 2025-06-24T15:40:18 | ryunuck | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljefwo | false | null | t3_1ljefwo | /r/LocalLLaMA/comments/1ljefwo/applying_coconut_continuous_reasoning_into_a/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'JRIP_xkg4BuH_ZZnihw-prRSBimm16YO4u5T6SZALhc', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/o7mv6dugaw8f1.png?width=108&crop=smart&auto=webp&s=843fb5f5735191c6789bdde40227822e168f0360', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/o7mv6dugaw8f1.png?width=216&crop=smart&auto=webp&s=50bfb5dda13b6b06ad04b57d63f7c47c61853a10', 'width': 216}, {'height': 428, 'url': 'https://preview.redd.it/o7mv6dugaw8f1.png?width=320&crop=smart&auto=webp&s=5e2d9060bf99eba22e68c2be49ed3faad8f0a5e2', 'width': 320}, {'height': 856, 'url': 'https://preview.redd.it/o7mv6dugaw8f1.png?width=640&crop=smart&auto=webp&s=1e827dff90d2db53e034e39b5a8fb9900bca6c01', 'width': 640}], 'source': {'height': 856, 'url': 'https://preview.redd.it/o7mv6dugaw8f1.png?auto=webp&s=9145290a979cbd65d902c52623978686fcb82720', 'width': 640}, 'variants': {}}]} |
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Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token | 1 | [removed] | 2025-06-24T15:42:42 | psychonucks | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljei7l | false | null | t3_1ljei7l | /r/LocalLLaMA/comments/1ljei7l/applying_coconut_continuous_reasoning_into_a/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'ttjtuk92bw8f1', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/ttjtuk92bw8f1.png?width=108&crop=smart&auto=webp&s=43304c1d2b04e081425d806184ca26b436c44435', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/ttjtuk92bw8f1.png?width=216&crop=smart&auto=webp&s=22b5961b99d3e6cd82a21ff12c7b7480eb121751', 'width': 216}, {'height': 428, 'url': 'https://preview.redd.it/ttjtuk92bw8f1.png?width=320&crop=smart&auto=webp&s=cd6f09c0d864d0d9ebc2e05abe65762c0e02b7c1', 'width': 320}, {'height': 856, 'url': 'https://preview.redd.it/ttjtuk92bw8f1.png?width=640&crop=smart&auto=webp&s=f0fc671a0265d2738819ec8b2f5fdbafaeed63fb', 'width': 640}], 'source': {'height': 856, 'url': 'https://preview.redd.it/ttjtuk92bw8f1.png?auto=webp&s=0a142314aac78103f8d78e57c8f835f6d9d5918f', 'width': 640}, 'variants': {}}]} |
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Help with vLLM Speculative Decoding using Medusa | 1 | [removed] | 2025-06-24T15:43:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ljeizj/help_with_vllm_speculative_decoding_using_medusa/ | Equivalent_Pair_4146 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljeizj | false | null | t3_1ljeizj | /r/LocalLLaMA/comments/1ljeizj/help_with_vllm_speculative_decoding_using_medusa/ | false | false | self | 1 | null |
Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token | 1 | [removed] | 2025-06-24T15:47:14 | https://www.reddit.com/r/LocalLLaMA/comments/1ljemhd/applying_coconut_continuous_reasoning_into_a/ | ryunuck | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljemhd | false | null | t3_1ljemhd | /r/LocalLLaMA/comments/1ljemhd/applying_coconut_continuous_reasoning_into_a/ | false | false | 1 | null |
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I built a tool to calculate exactly how many GPUs you need—based on your chosen model, quantization, context length, concurrency level, and target throughput. | 1 | [removed] | 2025-06-24T15:50:02 | https://www.reddit.com/r/LocalLLaMA/comments/1ljep8m/i_built_a_tool_to_calculate_exactly_how_many_gpus/ | RubJunior488 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljep8m | false | null | t3_1ljep8m | /r/LocalLLaMA/comments/1ljep8m/i_built_a_tool_to_calculate_exactly_how_many_gpus/ | false | false | self | 1 | null |
Local equivalent to Gemini 2.0 flash | 1 | [removed] | 2025-06-24T15:50:26 | https://www.reddit.com/r/LocalLLaMA/comments/1ljepmx/local_equivalent_to_gemini_20_flash/ | Russ_Dill | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljepmx | false | null | t3_1ljepmx | /r/LocalLLaMA/comments/1ljepmx/local_equivalent_to_gemini_20_flash/ | false | false | self | 1 | null |
Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token | 1 | [removed] | 2025-06-24T15:51:26 | ryunuck | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljeqko | false | null | t3_1ljeqko | /r/LocalLLaMA/comments/1ljeqko/applying_coconut_continuous_reasoning_into_a/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'JRIP_xkg4BuH_ZZnihw-prRSBimm16YO4u5T6SZALhc', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/k1malgvjcw8f1.png?width=108&crop=smart&auto=webp&s=ca66e2e50a9b024b413fe22b1397932563367ac5', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/k1malgvjcw8f1.png?width=216&crop=smart&auto=webp&s=e38c7e3d124bfac78c4937e239b851b19d76f0cb', 'width': 216}, {'height': 428, 'url': 'https://preview.redd.it/k1malgvjcw8f1.png?width=320&crop=smart&auto=webp&s=6fcba6393c755c4a544b3933ba2051bf9a545658', 'width': 320}, {'height': 856, 'url': 'https://preview.redd.it/k1malgvjcw8f1.png?width=640&crop=smart&auto=webp&s=d8f589da89e74f8cbdbdca5bf0afbef9c8df9aeb', 'width': 640}], 'source': {'height': 856, 'url': 'https://preview.redd.it/k1malgvjcw8f1.png?auto=webp&s=e6602963ec208527837dbdc10519d0c2207c0176', 'width': 640}, 'variants': {}}]} |
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I built a tool to calculate exactly how many GPUs you need—based on your chosen model, quantization, context length, concurrency level, and target throughput. | 1 | [removed] | 2025-06-24T16:03:31 | https://www.reddit.com/r/LocalLLaMA/comments/1ljf1z4/i_built_a_tool_to_calculate_exactly_how_many_gpus/ | RubJunior488 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljf1z4 | false | null | t3_1ljf1z4 | /r/LocalLLaMA/comments/1ljf1z4/i_built_a_tool_to_calculate_exactly_how_many_gpus/ | false | false | 1 | null |
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What's a good model for generating a schedule for multiple employees? | 1 | [removed] | 2025-06-24T16:08:54 | https://www.reddit.com/r/LocalLLaMA/comments/1ljf76m/whats_a_good_model_for_generating_a_schedule_for/ | ThatGreenM-M | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljf76m | false | null | t3_1ljf76m | /r/LocalLLaMA/comments/1ljf76m/whats_a_good_model_for_generating_a_schedule_for/ | false | false | self | 1 | null |
Day 2 of 50 Days of Building a Small Language Model from Scratch — Tokenizers: The Unsung Heroes of Language Models | 1 | [removed] | 2025-06-24T16:10:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ljf8ls/day_2_of_50_days_of_building_a_small_language/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljf8ls | false | null | t3_1ljf8ls | /r/LocalLLaMA/comments/1ljf8ls/day_2_of_50_days_of_building_a_small_language/ | false | false | self | 1 | null |
What's the best Vision Model for local OCR ( scanned invoices etc.) on a rtx 5080 in june 2025? | 1 | [removed] | 2025-06-24T16:18:58 | https://www.reddit.com/r/LocalLLaMA/comments/1ljfgsd/whats_the_best_vision_model_for_local_ocr_scanned/ | Key_Rush_3180 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljfgsd | false | null | t3_1ljfgsd | /r/LocalLLaMA/comments/1ljfgsd/whats_the_best_vision_model_for_local_ocr_scanned/ | false | false | self | 1 | null |
WebBench: A real-world benchmark for Browser Agents | 1 | [removed] | 2025-06-24T16:40:55 | Impressive_Half_2819 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljg1ux | false | null | t3_1ljg1ux | /r/LocalLLaMA/comments/1ljg1ux/webbench_a_realworld_benchmark_for_browser_agents/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'qkwd19xhlw8f1', 'resolutions': [{'height': 61, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=108&crop=smart&auto=webp&s=ca4b9df8943992c44e9dd02311d75e3f4ed297db', 'width': 108}, {'height': 123, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=216&crop=smart&auto=webp&s=590c2c6b8b489cc4e744b9e11bfd9af958ed8b91', 'width': 216}, {'height': 183, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=320&crop=smart&auto=webp&s=829333233de6e3f875e78dc0bfa9ca8c111fa6a6', 'width': 320}, {'height': 366, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=640&crop=smart&auto=webp&s=7819b950b985bcb0461550c5a1a4f035ca8da1cc', 'width': 640}, {'height': 549, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=960&crop=smart&auto=webp&s=26a5121a13e6f2eb462f2dc5e496363c2884fcbd', 'width': 960}, {'height': 618, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?width=1080&crop=smart&auto=webp&s=ac966996d01693a8a2f2a989cac2ec531f758e98', 'width': 1080}], 'source': {'height': 916, 'url': 'https://preview.redd.it/qkwd19xhlw8f1.jpeg?auto=webp&s=7c126a17eec30a7c87aa0087387f6a38d06ffeb1', 'width': 1600}, 'variants': {}}]} |
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Tokilake: Unlock Your Idle GPUs as a Unified LLM API – Behind NAT, Fully Private | 1 | [removed] | 2025-06-24T16:42:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ljg35h/tokilake_unlock_your_idle_gpus_as_a_unified_llm/ | Square-Air6513 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljg35h | false | null | t3_1ljg35h | /r/LocalLLaMA/comments/1ljg35h/tokilake_unlock_your_idle_gpus_as_a_unified_llm/ | false | false | self | 1 | null |
Are there leaderboards that ranking LLM for tasks? | 1 | [removed] | 2025-06-24T17:12:14 | https://www.reddit.com/r/LocalLLaMA/comments/1ljgvod/are_there_leaderboards_that_ranking_llm_for_tasks/ | GTHell | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljgvod | false | null | t3_1ljgvod | /r/LocalLLaMA/comments/1ljgvod/are_there_leaderboards_that_ranking_llm_for_tasks/ | false | false | self | 1 | null |
I'm sure most people have read about the Claud Spiritual Bliss Attractor and I wanted to reproduce it locally, so I made Resonant Chat Arena, a simple python script to put two LLMs in conversation with each other. | 8 | 2025-06-24T17:33:15 | https://github.com/jkingsman/resonant-chat-arena | CharlesStross | github.com | 1970-01-01T00:00:00 | 0 | {} | 1ljhg1i | false | null | t3_1ljhg1i | /r/LocalLLaMA/comments/1ljhg1i/im_sure_most_people_have_read_about_the_claud/ | false | false | 8 | {'enabled': False, 'images': [{'id': 'rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=108&crop=smart&auto=webp&s=be8cbbf89194fd69bf6142f0e8f0f036ca1df411', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=216&crop=smart&auto=webp&s=9b1cde5983d46a432d1f7f1fc41d3bd3a7bde600', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=320&crop=smart&auto=webp&s=3460fbc73e6c20895174ebd99d25048e13678887', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=640&crop=smart&auto=webp&s=61a501a09debdd7a58e2f8b7a92cf6aad5a73838', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=960&crop=smart&auto=webp&s=8ec61cc74cf89b0ac5ec2f2035c3a5ee3ff7c4b9', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?width=1080&crop=smart&auto=webp&s=45be6a8b00327cd7aa93ed1347fce015aa23c549', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/rna5zREg5_FzFmMGv-Mzfn4pHDOOgy6GUqSdq0vIQVE.png?auto=webp&s=59d1667b1cb6d4c6d1be052e6617fd6dc2830639', 'width': 1200}, 'variants': {}}]} |
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Federal Judge: Training On Copyrighted Works Is Fair Use | 1 | [removed] | 2025-06-24T17:44:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ljhql9/federal_judge_training_on_copyrighted_works_is/ | MrPecunius | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljhql9 | false | null | t3_1ljhql9 | /r/LocalLLaMA/comments/1ljhql9/federal_judge_training_on_copyrighted_works_is/ | false | false | self | 1 | null |
I wanna create a startup using LLaMa smthg, idk what? any ideas geeks? | 1 | [removed] | 2025-06-24T17:44:57 | https://www.reddit.com/r/LocalLLaMA/comments/1ljhrh3/i_wanna_create_a_startup_using_llama_smthg_idk/ | Expert-Address-2918 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljhrh3 | false | null | t3_1ljhrh3 | /r/LocalLLaMA/comments/1ljhrh3/i_wanna_create_a_startup_using_llama_smthg_idk/ | false | false | self | 1 | null |
Running on TPU ?!! | 1 | [removed] | 2025-06-24T17:47:24 | https://www.reddit.com/r/LocalLLaMA/comments/1ljhttx/running_on_tpu/ | Symbiote_in_me | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljhttx | false | null | t3_1ljhttx | /r/LocalLLaMA/comments/1ljhttx/running_on_tpu/ | false | false | self | 1 | null |
So, are we back? | 1 | [removed] | 2025-06-24T18:20:32 | https://www.reddit.com/r/LocalLLaMA/comments/1ljipwv/so_are_we_back/ | Herr_Drosselmeyer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljipwv | false | null | t3_1ljipwv | /r/LocalLLaMA/comments/1ljipwv/so_are_we_back/ | false | false | self | 1 | null |
Anthropic wins a major fair use victory for AI (Purchased copies of books is fair use for training) | 1 | 2025-06-24T18:34:53 | https://www.theverge.com/news/692015/anthropic-wins-a-major-fair-use-victory-for-ai-but-its-still-in-trouble-for-stealing-books | theZeitt | theverge.com | 1970-01-01T00:00:00 | 0 | {} | 1ljj3ey | false | null | t3_1ljj3ey | /r/LocalLLaMA/comments/1ljj3ey/anthropic_wins_a_major_fair_use_victory_for_ai/ | false | false | default | 1 | null |
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The LLM's RL Revelation We Didn't See Coming | 1 | [removed] | 2025-06-24T18:50:26 | https://youtu.be/z3awgfU4yno | FeathersOfTheArrow | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1ljji8f | false | {'oembed': {'author_name': 'bycloud', 'author_url': 'https://www.youtube.com/@bycloudAI', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/z3awgfU4yno?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="The LLM's RL Revelation We Didn't See Coming"></iframe>', 'provider_name': 'YouTube', 'provider_url': 'https://www.youtube.com/', 'thumbnail_height': 360, 'thumbnail_url': 'https://i.ytimg.com/vi/z3awgfU4yno/hqdefault.jpg', 'thumbnail_width': 480, 'title': "The LLM's RL Revelation We Didn't See Coming", 'type': 'video', 'version': '1.0', 'width': 356}, 'type': 'youtube.com'} | t3_1ljji8f | /r/LocalLLaMA/comments/1ljji8f/the_llms_rl_revelation_we_didnt_see_coming/ | false | false | default | 1 | null |
Tiny Tavern - IA character mobile app via Ollama | 1 | [removed] | 2025-06-24T18:57:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ljjojq/tiny_tavern_ia_character_mobile_app_via_ollama/ | Ill_Marketing_5245 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljjojq | false | null | t3_1ljjojq | /r/LocalLLaMA/comments/1ljjojq/tiny_tavern_ia_character_mobile_app_via_ollama/ | false | false | 1 | null |
|
Angry creator seeks free AI to rewrite the fire OpenAI tried to put out | 1 | [removed] | 2025-06-24T19:06:17 | https://www.reddit.com/r/LocalLLaMA/comments/1ljjxgx/angry_creator_seeks_free_ai_to_rewrite_the_fire/ | A_R_N-c_a | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljjxgx | false | null | t3_1ljjxgx | /r/LocalLLaMA/comments/1ljjxgx/angry_creator_seeks_free_ai_to_rewrite_the_fire/ | false | false | self | 1 | null |
Deepseek R1 lied about its codeforces rating to be 2029? | 1 | [removed] | 2025-06-24T19:08:20 | https://www.reddit.com/r/LocalLLaMA/comments/1ljjzfv/deepseek_r1_lied_about_its_codeforces_rating_to/ | ThemeResponsible2116 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljjzfv | false | null | t3_1ljjzfv | /r/LocalLLaMA/comments/1ljjzfv/deepseek_r1_lied_about_its_codeforces_rating_to/ | false | false | 1 | null |
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Combining VRam for Inference | 1 | [removed] | 2025-06-24T19:19:40 | https://www.reddit.com/r/LocalLLaMA/comments/1ljkach/combining_vram_for_inference/ | Th3OnlyN00b | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljkach | false | null | t3_1ljkach | /r/LocalLLaMA/comments/1ljkach/combining_vram_for_inference/ | false | false | self | 1 | null |
Is it normal to have significantly more performance from Qwen 235B compared to Qwen 32B when doing partial offloading? | 1 | [removed] | 2025-06-24T19:28:30 | https://www.reddit.com/r/LocalLLaMA/comments/1ljkilv/is_it_normal_to_have_significantly_more/ | OUT_OF_HOST_MEMORY | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljkilv | false | null | t3_1ljkilv | /r/LocalLLaMA/comments/1ljkilv/is_it_normal_to_have_significantly_more/ | false | false | self | 1 | null |
Are we back? | 1 | [removed] | 2025-06-24T19:34:07 | https://www.reddit.com/r/LocalLLaMA/comments/1ljkno8/are_we_back/ | fallingdowndizzyvr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljkno8 | false | null | t3_1ljkno8 | /r/LocalLLaMA/comments/1ljkno8/are_we_back/ | false | false | self | 1 | null |
The Context Lock-In Problem No One’s Talking About | 1 | [removed] | 2025-06-24T19:56:11 | https://www.reddit.com/r/LocalLLaMA/comments/1ljl87q/the_context_lockin_problem_no_ones_talking_about/ | Imad-aka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljl87q | false | null | t3_1ljl87q | /r/LocalLLaMA/comments/1ljl87q/the_context_lockin_problem_no_ones_talking_about/ | false | false | self | 1 | null |
Knowledge Database Advise needed/ Local RAG for IT Asset Discovery - Best approach for varied data? | 1 | [removed] | 2025-06-24T19:58:54 | https://www.reddit.com/r/LocalLLaMA/comments/1ljlalp/knowledge_database_advise_needed_local_rag_for_it/ | Rompe101 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljlalp | false | null | t3_1ljlalp | /r/LocalLLaMA/comments/1ljlalp/knowledge_database_advise_needed_local_rag_for_it/ | false | false | self | 1 | null |
Mobile AI Apps? | 2 | Kobold.cpp on termux gets pretty decent speed with Gemma 3 4b 6ksm ~~(sutra version is faster and better at writting, decriptions and everything else except extremely low context windows)~~ on snapdragon 850, Mi 9.
I could not find other programs or apps that run model locally on android asides from Google Edge Gallery, but edge only supports .task files and is in super alpha launch. Do you guys knows if there's other apps for local? Or if there's something in development yet? | 2025-06-24T20:10:12 | https://www.reddit.com/r/LocalLLaMA/comments/1ljll8c/mobile_ai_apps/ | WEREWOLF_BX13 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljll8c | false | null | t3_1ljll8c | /r/LocalLLaMA/comments/1ljll8c/mobile_ai_apps/ | false | false | self | 2 | null |
Please help me understand frequency penalty, presence penalty, and repetition penalty | 3 | I am writing a (very amateur) python LLM story telling app. My app sends a POST request to Ollama or OpenRouter or whatever backend you want, with a bunch of parameters I found online. Things like model, prompt, and these three penalties: presence\_penalty, frequency\_penalty, and repetition\_penalty.
In debugging I was struck by how little I understand these parameters. Specifically: Do these penalties count the tokens in your \*prompt\*? Or only tokens in the \*LLM's response\*?
I've asked ChatGPT, Claude, Gemini, Brave Search Leo, and several others, and I've gotten different answers. The most common answer is that only the response and not the prompt are counted.
My debugging likewise suggested only the response is counted. The LLM performs very differently when asked for a single 500-token generation vs. 10 separate 50-token generations. It appeared that the single 500-token generation eventually stopped using punctuation; while that never happened in the separate 50-token generations.
I hypothesized that in the single long generation, the penalties accrue over time, eventually obliterating punctuation. But in multiple smaller generations, the penalties don't have time to stack up as much, because they aren't counting the tokens from previous steps (in the prompt).
For testing, I entered the following using my app on OpenRouter with Mistral Small 3.2 24B Instruct. The parameters used were temperature 0.0, top\_p 0.8, top\_k 80, repetition\_penalty 1.0, frequency\_penalty 0.0, presence\_penalty 0.0.
\>The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. The color is blue. Now what color was it? ### INSTRUCTION: Continue the story.
(note that the prompt would have also contained a system prompt and other information generated by my app)
With the parameters above, the baseline response is: "The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue. The color was blue."
Changing ONLY presence\_penalty 2.0, the response is: "The color was blue. The color is always blue. \\n But now, the air hummed with an unfamiliar tension. A faint metallic scent lingered beneath the usual saltiness of the sea breeze, sharp and unsettling."
(The presence penalty did not consider tokens in the prompt. The LLM immediately repeated the statement, "The color was blue." Subsequently, however, those tokens were now in the LLM response, and the presenece penalty began to count them. They couldn't be repeated the way they were in the baseline response.)
Changing ONLY frequency\_penalty 2.0, the response is: "The color was blue. The color is always blue. \\n But now, the air hummed with something new—a low, insistent vibration that prickled against her skin like static electricity."
(Similarly, the frequency penalty did not consider tokens in the prompt. The LLM only stopped repeating the statement, "The color was blue." once those tokens made it into the LLM response. Then they couldn't be repeated anymore like the baseline response.)
Changing ONLY repetition\_penalty 2.0, the response is: "Lena's fingers trembled as she traced her name etched into one corner—her initials carved deep enough for time itself. \\n "Who did this?" Her voice cracked like dry leaves underfoot; there were no footprints in sight except hers now blurred together where they'd paced earlier today searching"
(The repetition penalty DID consider tokens in the prompt. The LLM could not repeat the statement, "The color is blue." even in the very first tokens it generated. Unlike the other penalties, that statement wasn't repeated even once.)
I did not expect these penalties to work differently in this regard. Notably, OpenRouter's website says the "input" is counted for the presence and frequency penalties. https://openrouter.ai/docs/api-reference/parameters. But my finding seems to directly contradict that.
I was hoping one of you fine folks would know better than me. Hey, maybe it's API specific? Wouldn't that be fun? | 2025-06-24T20:10:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ljllgo/please_help_me_understand_frequency_penalty/ | ruumies | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljllgo | false | null | t3_1ljllgo | /r/LocalLLaMA/comments/1ljllgo/please_help_me_understand_frequency_penalty/ | false | false | self | 3 | null |
Subreddit back in business | 632 | As most of you folks I'm also not sure what happened but I'm attaching screenshot of the last actions taken by the previous moderator before deleting their account | 2025-06-24T20:16:36 | HOLUPREDICTIONS | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ljlr5b | false | null | t3_1ljlr5b | /r/LocalLLaMA/comments/1ljlr5b/subreddit_back_in_business/ | false | false | default | 632 | {'enabled': True, 'images': [{'id': '1sx7mwusnx8f1', 'resolutions': [{'height': 65, 'url': 'https://preview.redd.it/1sx7mwusnx8f1.jpeg?width=108&crop=smart&auto=webp&s=505c891feba9f30abe8510ca980b0be8bd842a92', 'width': 108}, {'height': 131, 'url': 'https://preview.redd.it/1sx7mwusnx8f1.jpeg?width=216&crop=smart&auto=webp&s=66599d6e60fbf0bb6a76c40d955d120c611794ff', 'width': 216}, {'height': 195, 'url': 'https://preview.redd.it/1sx7mwusnx8f1.jpeg?width=320&crop=smart&auto=webp&s=2f586dfd484daea2c124a9753058901d9c8b2041', 'width': 320}, {'height': 390, 'url': 'https://preview.redd.it/1sx7mwusnx8f1.jpeg?width=640&crop=smart&auto=webp&s=a3f5a6313e8a4b034a44e79151a371760d959973', 'width': 640}], 'source': {'height': 470, 'url': 'https://preview.redd.it/1sx7mwusnx8f1.jpeg?auto=webp&s=407f4c976126c48ea27aa3728c2c1646527368a4', 'width': 770}, 'variants': {}}]} |
|
Is it normal to have significantly more performance from Qwen 235B compared to Qwen 32B when doing partial offloading? | 3 | here are the llama-swap settings I am running, my hardware is a xeon e5-2690v4 with 128GB of 2400 DDR4 and 2 P104-100 8GB GPUs, while prompt processing is faster on the 32B (12 tk/s vs 5 tk/s) the actual inference is much faster on the 235B, 5tk/s vs 2.5 tk/s. Does anyone know why this is? Even if the 235B only has 22B active parameters more of those parameters should be offloaded than for the entire 32B model.here are the llama-swap settings I am running, my hardware is a xeon e5-2690v4 with 128GB of 2400 DDR4 and 2 P104-100 8GB GPUs, while prompt processing is faster on the 32B (12 tk/s vs 5 tk/s) the actual inference is much faster on the 235B, 5tk/s vs 2.5 tk/s. Does anyone know why this is? Even if the 235B only has 22B active parameters more of those parameters should be offloaded than for the entire 32B model.
```
"Qwen3:32B":
proxy: http://127.0.0.1:9995
checkEndpoint: /health
ttl: 1800
cmd: >
~/raid/llama.cpp/build/bin/llama-server
--port 9995
--no-webui
--no-warmup
--model ~/raid/models/Qwen3-32B-Q4_K_M.gguf
--flash-attn
--cache-type-k f16
--cache-type-v f16
--gpu-layers 34
--split-mode layer
--ctx-size 32768
--temp 0.6
--top-k 20
--top-p 0.95
--min-p 0.0
--presence-penalty 1.5
"Qwen3:235B":
proxy: http://127.0.0.1:9993
checkEndpoint: /health
ttl: 1800
cmd: >
~/raid/llama.cpp/build/bin/llama-server
--port 9993
--no-webui
--no-warmup
--model ~/raid/models/Qwen3-235B-A22B-UD-Q3_K_XL-00001-of-00003.gguf
--flash-attn
--cache-type-k f16
--cache-type-v f16
--gpu-layers 95
--split-mode layer
--ctx-size 32768
--temp 0.6
--top-k 20
--top-p 0.95
--min-p 0.0
--presence-penalty 1.5
--override-tensor exps=CPU
``` | 2025-06-24T20:24:47 | https://www.reddit.com/r/LocalLLaMA/comments/1ljlyrs/is_it_normal_to_have_significantly_more/ | OUT_OF_HOST_MEMORY | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljlyrs | false | null | t3_1ljlyrs | /r/LocalLLaMA/comments/1ljlyrs/is_it_normal_to_have_significantly_more/ | false | false | self | 3 | null |
0.5 tok/s with R1 Q4 on EPYC 7C13 with 1TB of RAM, BIOS settings to blame? | 12 | [Now I've got your attention, I hope!](https://i.redd.it/8wptyvlppx8f1.gif)
Hi there everyone!
I've just recently assembled an entire home server system, however, for some reason, the performance I'm getting is atrocious with 1TB of 2400MHz RAM on EPYC 7C13 running on Gigabyte MZ32-AR1. I'm getting 3-12 tok/s on prompt eval (depending on context), and 0.3-0.6 tok/s generation.
Now, the model I'm running is Ubergarm's R1 0528 IQ4\_KS\_R4, on ik\_llama, so that's a bit different than what a lot of people here are running. However, on the more 'standard' R1 GGUFs from Unsloth, the performance is even worse, and that's true across everything I've tried, Kobold.cpp, LMstudio, Ollama, etc. True of other LLMs as well such as Qwen, people report way better tok/s with the same/almost the same CPU and system.
So, here's my request, if anyone is in the know, can you please share the BIOS options that I should use to optimize this CPU for LLM interference? I'm ready to sacrifice pretty much any setting/feature if that means I will be able to get this running in line with what other people online are getting.
Also, I know what you think, the model is entirely mlock'ed and is using 128 threads, my OS is Ubuntu 25.04, and other than Ubuntu's tendency to set locked memory to just 128 or so gigs every time I reboot which can be simply fixed with sudo su and then ulimit -Hl and -l, I don't seem to have any issues on the OS side, so that's where my entire guess of this being the BIOS settings fault comes from.
Thank you so much for reading all of this, and have a great day! | 2025-06-24T20:27:16 | https://www.reddit.com/r/LocalLLaMA/comments/1ljm13j/05_toks_with_r1_q4_on_epyc_7c13_with_1tb_of_ram/ | BasicCoconut9187 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljm13j | false | null | t3_1ljm13j | /r/LocalLLaMA/comments/1ljm13j/05_toks_with_r1_q4_on_epyc_7c13_with_1tb_of_ram/ | false | false | 12 | null |
|
Polaris: A Post-training recipe for scaling RL on Advanced ReasonIng models | 46 | Here is the link.
I have no idea what it is but it was released a few days ago and has an intriguing concept so I decided to post here to see if anyone knows about this. It seems pretty new but its some sort of post-training RL with a unique approach that claims a Qwen3-4b performance boost that surpasses Claude-4-Opus, Grok-3-Beta, and o3-mini-high.
Take it with a grain of salt. I am not in any way affiliated with this project. Someone simply recommended it to me so I posted it here to gather your thoughts. | 2025-06-24T20:28:55 | https://www.reddit.com/r/LocalLLaMA/comments/1ljm2n2/polaris_a_posttraining_recipe_for_scaling_rl_on/ | swagonflyyyy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljm2n2 | false | null | t3_1ljm2n2 | /r/LocalLLaMA/comments/1ljm2n2/polaris_a_posttraining_recipe_for_scaling_rl_on/ | false | false | self | 46 | {'enabled': False, 'images': [{'id': 'E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=108&crop=smart&auto=webp&s=5a15e7d7ac0b52dfdf2170149515a16efe27df26', 'width': 108}, {'height': 108, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=216&crop=smart&auto=webp&s=96ac0e1a2d6fe53e4a1bd038834c1c791ba1a629', 'width': 216}, {'height': 160, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=320&crop=smart&auto=webp&s=392320ca8b14bc7e216d694d0ccd84c7f0cf93d5', 'width': 320}, {'height': 320, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=640&crop=smart&auto=webp&s=edea491b1f73e3b5ccaa1d39c3bec22e2b0715f9', 'width': 640}, {'height': 480, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=960&crop=smart&auto=webp&s=1db6579a38a2264dea7bc115126bd0ca51c62455', 'width': 960}, {'height': 540, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?width=1080&crop=smart&auto=webp&s=edb02790366083b3b4e4fe2d506911ee2d6efe7b', 'width': 1080}], 'source': {'height': 600, 'url': 'https://external-preview.redd.it/E0mxyQKIBg9_L5-Uibj4NGnf8c47vbOyJqVz_vOZVpU.png?auto=webp&s=12acd257ffeb9469da1951937e89f27c9a6dca3f', 'width': 1200}, 'variants': {}}]} |
Agent Arena – crowdsourced testbed for evaluating AI agents in the wild | 11 | We just launched Agent Arena -- a crowdsourced testbed for evaluating AI agents in the wild.
Think Chatbot Arena, but for agents.
It’s completely free to run matches. We cover the inference.
I always find myself debating whether to use 4o or o3, but now I just try both on Agent Arena!
Try it out: https://obl.dev/ | 2025-06-24T20:29:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ljm32s/agent_arena_crowdsourced_testbed_for_evaluating/ | tejpal-obl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljm32s | false | null | t3_1ljm32s | /r/LocalLLaMA/comments/1ljm32s/agent_arena_crowdsourced_testbed_for_evaluating/ | false | false | self | 11 | null |
LocalLlama is saved! | 564 | LocalLlama has been many folk's favorite place to be for everything AI, so it's good to see a new moderator taking the reins!
Thanks to u/HOLUPREDICTIONS for taking the reins!
More detail here: [https://www.reddit.com/r/LocalLLaMA/comments/1ljlr5b/subreddit\_back\_in\_business/](https://www.reddit.com/r/LocalLLaMA/comments/1ljlr5b/subreddit_back_in_business/)
TLDR - the previous moderator (we appreciate their work) unfortunately left the subreddit, and unfortunately deleted new comments and posts - it's now lifted! | 2025-06-24T20:30:08 | https://www.reddit.com/r/LocalLLaMA/comments/1ljm3pb/localllama_is_saved/ | danielhanchen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljm3pb | false | null | t3_1ljm3pb | /r/LocalLLaMA/comments/1ljm3pb/localllama_is_saved/ | false | false | self | 564 | null |
We built a tool that helps you plan features before using AI to code (public beta launch) | 0 | 2025-06-24T20:41:25 | https://v.redd.it/8td2dkxbsx8f1 | eastwindtoday | /r/LocalLLaMA/comments/1ljmdzg/we_built_a_tool_that_helps_you_plan_features/ | 1970-01-01T00:00:00 | 0 | {} | 1ljmdzg | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/8td2dkxbsx8f1/DASHPlaylist.mpd?a=1753519303%2CN2QyMDA0NWYxYWMyMTUzZmM1NDYzN2VlNTc1NmUwYmExYjgzOWViMmQ4NjM0MGM2ZWUwMmUzODc4NDA4NmRjYw%3D%3D&v=1&f=sd', 'duration': 377, 'fallback_url': 'https://v.redd.it/8td2dkxbsx8f1/DASH_1080.mp4?source=fallback', 'has_audio': True, 'height': 1080, 'hls_url': 'https://v.redd.it/8td2dkxbsx8f1/HLSPlaylist.m3u8?a=1753519303%2CYjBlMDlhMjc3ZDkwZDk1NzU1OWUzYTI4ODY1MWJiNzIxNmJlYTRmNzNiZTkwNzgzMDZkZDQwZDkyMDFmYWVlMQ%3D%3D&v=1&f=sd', 'is_gif': False, 'scrubber_media_url': 'https://v.redd.it/8td2dkxbsx8f1/DASH_96.mp4', 'transcoding_status': 'completed', 'width': 1784}} | t3_1ljmdzg | /r/LocalLLaMA/comments/1ljmdzg/we_built_a_tool_that_helps_you_plan_features/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa', 'resolutions': [{'height': 65, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=108&crop=smart&format=pjpg&auto=webp&s=1a05d63253a12b40a6d990bf048acd8f7df08fe5', 'width': 108}, {'height': 130, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=216&crop=smart&format=pjpg&auto=webp&s=a9ae72ae4e51f78cd12adc28b722c3d9053b68f5', 'width': 216}, {'height': 193, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=320&crop=smart&format=pjpg&auto=webp&s=e1baeb0499a061c7755ca3378b9c93c0713d1096', 'width': 320}, {'height': 387, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=640&crop=smart&format=pjpg&auto=webp&s=c641a834d198e29b8b81701c8568940a03042192', 'width': 640}, {'height': 581, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=960&crop=smart&format=pjpg&auto=webp&s=675509e91e328a0e7eb73bbf9d67c59e25921a09', 'width': 960}, {'height': 653, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?width=1080&crop=smart&format=pjpg&auto=webp&s=719f8488f5936d2679c8f9f9765e015d3c9dc590', 'width': 1080}], 'source': {'height': 1080, 'url': 'https://external-preview.redd.it/OTEzaXJneGJzeDhmMZvu8dVTETA4R0lbzOCMpCYSy2EGu4LkODdfToxoMFWa.png?format=pjpg&auto=webp&s=b83becdcad79e4d668a38e92e948baf9c4d72799', 'width': 1784}, 'variants': {}}]} |
||
Vision model for detecting welds? | 3 | I searched for "best vision models" up to date, but are there any difference between industry applications and "document scanning" models? Should we proceed to fine-tine them with photos to identify correct welds vs incorrect welds?
Can anyone guide us regarding vision model in industry applications (mainly construction industry) | 2025-06-24T20:49:23 | https://www.reddit.com/r/LocalLLaMA/comments/1ljmlcn/vision_model_for_detecting_welds/ | -Fake_GTD | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljmlcn | false | null | t3_1ljmlcn | /r/LocalLLaMA/comments/1ljmlcn/vision_model_for_detecting_welds/ | false | false | self | 3 | null |
Falcon H1 Models | 1 | Why is this model family slept on ?
From what i understood its a new hybrid architecture and it has alreally good results.
Am i missing something? | 2025-06-24T21:05:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ljmzvi/falcon_h1_models/ | Daemontatox | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ljmzvi | false | null | t3_1ljmzvi | /r/LocalLLaMA/comments/1ljmzvi/falcon_h1_models/ | false | false | self | 1 | null |
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