title stringlengths 1 300 | score int64 0 8.54k | selftext stringlengths 0 41.5k | created timestamp[ns]date 2023-04-01 04:30:41 2026-03-04 02:14:14 ⌀ | url stringlengths 0 878 | author stringlengths 3 20 | domain stringlengths 0 82 | edited timestamp[ns]date 1970-01-01 00:00:00 2026-02-19 14:51:53 | gilded int64 0 2 | gildings stringclasses 7
values | id stringlengths 7 7 | locked bool 2
classes | media stringlengths 646 1.8k ⌀ | name stringlengths 10 10 | permalink stringlengths 33 82 | spoiler bool 2
classes | stickied bool 2
classes | thumbnail stringlengths 4 213 ⌀ | ups int64 0 8.54k | preview stringlengths 301 5.01k ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No tool calling on 8GB GPUs | 0 | I have tried various models that can run on an 8gb GPU and everything is brain dead.
Goal:
1. call tools, get results, do something with results, or
2. Get a prompt, decide what tool to call, do something cool with the results
I have had a hint of success with the tiniest of use cases. Basically where no decisions... | 2025-12-04T00:06:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pdkzdj/no_tool_calling_on_8gb_gpus/ | newz2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdkzdj | false | null | t3_1pdkzdj | /r/LocalLLaMA/comments/1pdkzdj/no_tool_calling_on_8gb_gpus/ | false | false | self | 0 | null |
Langfuse Issues? | 2 | Was wondering if anyone else was encountering issues with langfuse? Was having some an issue on Huggingface relating to langfuse credentials. Saw there was a partial outage today that should be resolved, but still running into the same issue. | 2025-12-03T23:50:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pdklni/langfuse_issues/ | Fearless-Intern-2344 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdklni | false | null | t3_1pdklni | /r/LocalLLaMA/comments/1pdklni/langfuse_issues/ | false | false | self | 2 | null |
Red Team MCP - Open source multi-agent AI platform | 0 | Just open-sourced Red Team MCP - a multi-agent collaboration platform that connects to Multiple Local LLM tools (Any OpenAI compatible) plus 68 AI providers (Anthropic, OpenAI, Google, Groq, DeepSeek, etc.) through a unified API.
**Key features:**
* 5 coordination modes: Pipeline, Ensemble, Debate, Swarm, Hierarchica... | 2025-12-03T23:47:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pdkj8o/red_team_mcp_open_source_multiagent_ai_platform/ | fracken_a | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdkj8o | false | null | t3_1pdkj8o | /r/LocalLLaMA/comments/1pdkj8o/red_team_mcp_open_source_multiagent_ai_platform/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '8rxBbYoD1syoOEqe7MogFH4-_IAjrIJvFUjjT0AnOT8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/8rxBbYoD1syoOEqe7MogFH4-_IAjrIJvFUjjT0AnOT8.png?width=108&crop=smart&auto=webp&s=e8a867f1084a66032bb1e82e93f58bb5beba54b3', 'width': 108}, {'height': 108, 'url': 'h... |
[Resource] 20,000+ Pages of U.S. House Oversight Epstein Estate Docs (OCR'd & Cleaned for RAG/Analysis) | 69 | I’ve processed the recent release of 20,000+ pages of documents regarding the Epstein Estate from the U.S. House Oversight Committee. The goal is to make these scattered government files accessible for journalists and researchers using open-source tools.
Note, this was originally shared here, by another user, then upl... | 2025-12-03T23:30:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pdk4zx/resource_20000_pages_of_us_house_oversight/ | Ok-District-1330 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdk4zx | false | null | t3_1pdk4zx | /r/LocalLLaMA/comments/1pdk4zx/resource_20000_pages_of_us_house_oversight/ | false | false | self | 69 | {'enabled': False, 'images': [{'id': 'e3xelc5H5OgEIHdt8pMTOh9zYqsg_N9vuwIpRChh5xw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/e3xelc5H5OgEIHdt8pMTOh9zYqsg_N9vuwIpRChh5xw.png?width=108&crop=smart&auto=webp&s=8f25bc2126f4371ef108ac2641a551b199e0b32f', 'width': 108}, {'height': 108, 'url': 'h... |
AI Runner v5.0.5 | 0 | This update allows you to run AI Runner as a headless server, but mask AI Runner as Ollama so that other services such as VSCode will think it is interfacing with Ollama, allowing you to select it as "Ollama" from the model manager in VSCode Copilot Chat.
Note: I haven't been able to get it to work well with agent... | 2025-12-03T22:41:10 | https://github.com/Capsize-Games/airunner/compare/v5.0.4...v5.0.5 | w00fl35 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pdixg8 | false | null | t3_1pdixg8 | /r/LocalLLaMA/comments/1pdixg8/ai_runner_v505/ | false | false | default | 0 | null |
Kiwix RAG: Terminal Chat Interface with Local Kiwix Content Integration | 1 | [https://github.com/imDelivered/KiwixRAG](https://github.com/imDelivered/KiwixRAG)
I've developed a terminal-based chat application that integrates local Kiwix content with Ollama using Retrieval Augmented Generation (RAG). The app automatically injects relevant Kiwix content into AI responses to improve factual accur... | 2025-12-03T22:37:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pdiuag/kiwix_rag_terminal_chat_interface_with_local/ | Smart-Competition200 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdiuag | false | null | t3_1pdiuag | /r/LocalLLaMA/comments/1pdiuag/kiwix_rag_terminal_chat_interface_with_local/ | false | false | self | 1 | null |
The Best Open Weights Coding Models of 2025 | 76 | Hi all, I'm back with uncontaminated evals for DeepSeek-V3.2, Kimi K2 Thinking, and MiniMax M2. (We caught GLM 4.6 last time around.)
If you just want the numbers, you can find them for the finalists [here](https://brokk.ai/power-ranking?models=dsv3.2%2Cglm4.6-fp8%2Ck2-thinking%2Cm2) and for everyone else [here](h... | 2025-12-03T22:29:44 | https://blog.brokk.ai/the-best-open-weights-coding-models-of-2025/ | mr_riptano | blog.brokk.ai | 1970-01-01T00:00:00 | 0 | {} | 1pdin3b | false | null | t3_1pdin3b | /r/LocalLLaMA/comments/1pdin3b/the_best_open_weights_coding_models_of_2025/ | false | false | 76 | {'enabled': False, 'images': [{'id': 'wxWktbYwfvy3j0Y1BhifZGPwnHUnY7JGZEyykx4N_HM', 'resolutions': [{'height': 55, 'url': 'https://external-preview.redd.it/wxWktbYwfvy3j0Y1BhifZGPwnHUnY7JGZEyykx4N_HM.png?width=108&crop=smart&auto=webp&s=4f4a40a875171084a904d892a7cbc21f60da9edf', 'width': 108}, {'height': 111, 'url': 'h... | |
DeepSeek-OCR – Apple Metal Performance Shaders (MPS) & CPU Support | 42 | I recently updated DeepSeek-OCR to support Apple Metal (MPS) and CPU acceleration. I wanted to share this in case anyone else has been looking to run it efficiently on macOS.
To make it easier to use, I also forked an existing desktop client and applied the patch. You can check it out here:
[https://github.com/Dogace... | 2025-12-03T22:13:40 | https://huggingface.co/Dogacel/DeepSeek-OCR-Metal-MPS | Dogacel | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pdi8o7 | false | null | t3_1pdi8o7 | /r/LocalLLaMA/comments/1pdi8o7/deepseekocr_apple_metal_performance_shaders_mps/ | false | false | 42 | {'enabled': False, 'images': [{'id': '9aiVAPD5fnnzElgE74nQoRx4aoPflI7CwyCPycl2BLA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9aiVAPD5fnnzElgE74nQoRx4aoPflI7CwyCPycl2BLA.png?width=108&crop=smart&auto=webp&s=f5a1a5450ada78dfc9f4054af8caaeff2cf9272d', 'width': 108}, {'height': 116, 'url': 'h... | |
I hate waiting for ai to "Think" | 0 | I built a wrapper that gives you free access to reasoning models. Instead of staring at a loading screen, you get a moment of entertainment while it thinks — with no extra wait time. Posted a quick demo.
Curious what everyone thinks | 2025-12-03T22:11:23 | https://v.redd.it/ubt4gq42c25g1 | palmtreegod23 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pdi6lp | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/ubt4gq42c25g1/DASHPlaylist.mpd?a=1767391900%2CM2Q1MmM3NjRkNWQzOWEwMjdlZDUzNTc3MmUxZTVkNzFlNGU0NjE3ODE2NTYzMDQzOThjNjAwZDFjOTQ0YjQ0YQ%3D%3D&v=1&f=sd', 'duration': 12, 'fallback_url': 'https://v.redd.it/ubt4gq42c25g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pdi6lp | /r/LocalLLaMA/comments/1pdi6lp/i_hate_waiting_for_ai_to_think/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MWU0cXhzNDJjMjVnMVFNfTGFXeK0cFof1RWE1c2xmhQDcyIDjRppRZoKEhBV', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MWU0cXhzNDJjMjVnMVFNfTGFXeK0cFof1RWE1c2xmhQDcyIDjRppRZoKEhBV.png?width=108&crop=smart&format=pjpg&auto=webp&s=7048891ad80149aa23a5ced2837f9e09f3999... | |
Why doesn't deepseek release a smaller air model? Because they are focused at research? | 13 | Why doesn't deepseek release a smaller air model like a 120b A10b MoE model or a 32b dense model? It seems like they are mainly focused in research and doesn't frequently release small models unlike GLM and qwen | 2025-12-03T21:58:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhuyy/why_doesnt_deepseek_release_a_smaller_air_model/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhuyy | false | null | t3_1pdhuyy | /r/LocalLLaMA/comments/1pdhuyy/why_doesnt_deepseek_release_a_smaller_air_model/ | false | false | self | 13 | null |
Building a local model machine, wanted some feedback | 1 | [removed] | 2025-12-03T21:58:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhund/building_a_local_model_machine_wanted_some/ | The_M0nk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhund | false | null | t3_1pdhund | /r/LocalLLaMA/comments/1pdhund/building_a_local_model_machine_wanted_some/ | false | false | self | 1 | null |
Is streamlit good for an agentic UI? | 1 | I am not sure if this is the right place to post this but here goes:
I want to build a local-first agentic framework like Cline or Cursor but geared more towards local LLMs than Cloud API providers (these would be optional) that makes up for the shortcomings of the current frameworks available.
I already have enough ... | 2025-12-03T21:53:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhplj/is_streamlit_good_for_an_agentic_ui/ | swagonflyyyy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhplj | false | null | t3_1pdhplj | /r/LocalLLaMA/comments/1pdhplj/is_streamlit_good_for_an_agentic_ui/ | false | false | self | 1 | null |
Qwen3-Coder-30B-A3B-Instruct[-FP8] config.json updated | 14 | [Update config.json · Qwen/Qwen3-Coder-30B-A3B-Instruct at b2cff64](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/commit/b2cff646eb4bb1d68355c01b18ae02e7cf42d120)
Unsure of the implications of this, maybe someone here can explain what's changed? | 2025-12-03T21:49:59 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhmiw/qwen3coder30ba3binstructfp8_configjson_updated/ | MutantEggroll | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhmiw | false | null | t3_1pdhmiw | /r/LocalLLaMA/comments/1pdhmiw/qwen3coder30ba3binstructfp8_configjson_updated/ | false | false | self | 14 | {'enabled': False, 'images': [{'id': 'IAGFmaGszKcqSKR_8qg0oES6OBfFDCBNvzr72pbVe7o', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/IAGFmaGszKcqSKR_8qg0oES6OBfFDCBNvzr72pbVe7o.png?width=108&crop=smart&auto=webp&s=fbf0440b72bf3c599b24d782f0bddf00251537cf', 'width': 108}, {'height': 116, 'url': 'h... |
Fine Tuning Project LLM. Specialized in Home use with IoT audio commands, audio relay of video analysis, etc.. | 4 | Hey all, I'm wanting to develop a home assistant that can receive human like commands for IoT devices, be connected to schedules, give audio reminders, etc. I was wondering if any one had any experience doing that and could give some insight on the challenges that would come along with it. Thanks! | 2025-12-03T21:47:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhkhx/fine_tuning_project_llm_specialized_in_home_use/ | RefrigeratorPlus8700 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhkhx | false | null | t3_1pdhkhx | /r/LocalLLaMA/comments/1pdhkhx/fine_tuning_project_llm_specialized_in_home_use/ | false | false | self | 4 | null |
Which of these laptops/desktop computers would be best to run a local LLM or also low to mid level gaming? | 0 | I need to buy a new pc, and my budget is around $600. I've also been looking into delving into llm as a hobby. Sick of paying $30 a month for only 16k tokens. Lol.
Dell 16 DC16256 16" Laptop Computer - Midnight Blue
AMD Ryzen 7 250 3.3GHz Processor; 16GB DDR5-5600 RAM; 1TB Solid State Drive; AMD Radeon Graphics
Acer ... | 2025-12-03T21:38:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pdhbe5/which_of_these_laptopsdesktop_computers_would_be/ | ConspiracyParadox | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdhbe5 | false | null | t3_1pdhbe5 | /r/LocalLLaMA/comments/1pdhbe5/which_of_these_laptopsdesktop_computers_would_be/ | false | false | self | 0 | null |
How would you judge the setup I want to build? | 0 | Asus ProArt 870E
And Ryzen 9 9950X3d 16x 4,30GHz
64gB Corsair Vengeance DDR5 6000
32GB 5090 RTX
Would you say this works well together for LLM, Stable Diffusion and Gaming? Anything I should consider when building this? Doing this the first time so need some advice. Thanks. | 2025-12-03T21:33:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pdh6z9/how_would_you_judge_the_setup_i_want_to_build/ | Imaginary-Cry2924 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdh6z9 | false | null | t3_1pdh6z9 | /r/LocalLLaMA/comments/1pdh6z9/how_would_you_judge_the_setup_i_want_to_build/ | false | false | self | 0 | null |
8 local LLMs on a single Strix Halo debating whether a hot dog is a sandwich | 719 | 2025-12-03T21:26:43 | https://v.redd.it/o8n25oox325g1 | jfowers_amd | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pdh0sm | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/o8n25oox325g1/DASHPlaylist.mpd?a=1767389216%2CYmFmNjJkZTEyYjU5NTYwN2E0MTFkNGRhNWZjOTYwYWJmNTNkYmUyNmQ3MTdiOGI5ZDYxYzJiNDVlYTMzNGIzNg%3D%3D&v=1&f=sd', 'duration': 11, 'fallback_url': 'https://v.redd.it/o8n25oox325g1/CMAF_480.mp4?source=fallback', 'ha... | t3_1pdh0sm | /r/LocalLLaMA/comments/1pdh0sm/8_local_llms_on_a_single_strix_halo_debating/ | false | false | 719 | {'enabled': False, 'images': [{'id': 'ZzlmajZ6b3gzMjVnMYyMXOA9G9iEfbHd4uR1YsqLbApEsnv66h0V49mXIA5l', 'resolutions': [{'height': 128, 'url': 'https://external-preview.redd.it/ZzlmajZ6b3gzMjVnMYyMXOA9G9iEfbHd4uR1YsqLbApEsnv66h0V49mXIA5l.png?width=108&crop=smart&format=pjpg&auto=webp&s=21788fbdfd49ddd51fa612b45bc2f3565196... | ||
Is it THE Mistral Large 3 benchmark? | 0 | 2025-12-03T21:24:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pdgz3k/is_it_the_mistral_large_3_benchmark/ | egomarker | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdgz3k | false | null | t3_1pdgz3k | /r/LocalLLaMA/comments/1pdgz3k/is_it_the_mistral_large_3_benchmark/ | false | false | 0 | null | ||
What are the minimum viable LLMs to test "thinking" techniques? | 0 | I'd like to test various "thinking" techniques like chain-of-thought, tree-of-thought, etc. I'm wondering what you think the minimum viable language models are to get reasonable results back. And where the results would probably generalize to larger LMs.
The truly tiny LMs in huggingface are nice for speed, memory,... | 2025-12-03T21:19:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pdgudg/what_are_the_minimum_viable_llms_to_test_thinking/ | SometimesObsessed | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdgudg | false | null | t3_1pdgudg | /r/LocalLLaMA/comments/1pdgudg/what_are_the_minimum_viable_llms_to_test_thinking/ | false | false | self | 0 | null |
Points-based reasoning | 2 | I found new trick to sped up token generation with almost zero quality loss, especially with hybrid model,which is points-based reasoning, here it how it works:
Depending on the model,you set a system prompt that tells the model to produce a chain-of-thought but instead of enabling it via the "thinking" button on wha... | 2025-12-03T20:58:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pdga9g/pointsbased_reasoning/ | AI-Man-75 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdga9g | false | null | t3_1pdga9g | /r/LocalLLaMA/comments/1pdga9g/pointsbased_reasoning/ | false | false | self | 2 | null |
Hermes 4.3 - 36B Model released | 249 | Hermes uncensored line models with apache 2 license. Post trained from Seed-OSS-36B-Bar on their psyche network. The cool bit is they also trained it centralized and the distributed psyche trained version outperformed the centrally trained one.
GGUF links: [https://huggingface.co/NousResearch/Hermes-4.3-36B-GGUF](ht... | 2025-12-03T20:30:22 | https://nousresearch.com/introducing-hermes-4-3/ | crazeum | nousresearch.com | 1970-01-01T00:00:00 | 0 | {} | 1pdfk0o | false | null | t3_1pdfk0o | /r/LocalLLaMA/comments/1pdfk0o/hermes_43_36b_model_released/ | false | false | default | 249 | {'enabled': False, 'images': [{'id': 'thAQxjbw3fpc9fgR1nrJDb-3cDeZ9f7TtJWveW5lCQ4', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/thAQxjbw3fpc9fgR1nrJDb-3cDeZ9f7TtJWveW5lCQ4.png?width=108&crop=smart&auto=webp&s=11f148884579108fb6ee44c7797d26bbba37c985', 'width': 108}, {'height': 216, 'url': '... |
Block PC with mobile RTX? | 0 | Is anyone aware of a premade PC I can buy that’s in similar shape/form of an M4 Studio that has a mobile RTX card (or even AMD) with at least 24gb of RAM?
I see lots of “mini AI” PCs that look good and have good CPUs and RAM, but weak or no GPU.
I’ve heard of some upcoming stuff on kickstarter but I was wondering if ... | 2025-12-03T20:12:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pdf3ca/block_pc_with_mobile_rtx/ | Ok-Contest-5856 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdf3ca | false | null | t3_1pdf3ca | /r/LocalLLaMA/comments/1pdf3ca/block_pc_with_mobile_rtx/ | false | false | self | 0 | null |
how do I setup cline to orchestrate calls to two endpoints? | 1 | I have two GPUs each running separate llama.cpp and models at endpoints localhost:9991 and localhost:9992.
9991 = fast 75t/s small context 32k
9992 = slow 10t/s larger context 80k
I want a single cline workflow to use both LLM in an async and orchestrated manner. Surely someone has figured this out already. ... | 2025-12-03T20:11:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pdf2cw/how_do_i_setup_cline_to_orchestrate_calls_to_two/ | PairOfRussels | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdf2cw | false | null | t3_1pdf2cw | /r/LocalLLaMA/comments/1pdf2cw/how_do_i_setup_cline_to_orchestrate_calls_to_two/ | false | false | self | 1 | null |
average tech american compagny when you ask to release a 100 parameters ai model outdated since 2017 who counts the number of tiles in a bathroom(the model is too dangerous for the user) | 102 | 2025-12-03T19:14:58 | Qnimbus_ | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pddj59 | false | null | t3_1pddj59 | /r/LocalLLaMA/comments/1pddj59/average_tech_american_compagny_when_you_ask_to/ | false | false | default | 102 | {'enabled': True, 'images': [{'id': 'q9ruaywkg15g1', 'resolutions': [{'height': 146, 'url': 'https://preview.redd.it/q9ruaywkg15g1.jpeg?width=108&crop=smart&auto=webp&s=595b9c5120ea23430c8d0ffb8b451867f803d6c4', 'width': 108}, {'height': 292, 'url': 'https://preview.redd.it/q9ruaywkg15g1.jpeg?width=216&crop=smart&auto=... | ||
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning | 1 | *Processing img nnyrobkpf15g1...*
Code: [github.com/deepreinforce-ai/CUDA-L2](http://github.com/deepreinforce-ai/CUDA-L2)
Paper: [arxiv.org/abs/2512.02551](http://arxiv.org/abs/2512.02551) | 2025-12-03T19:09:53 | https://www.reddit.com/r/LocalLLaMA/comments/1pdde3k/cudal2_surpassing_cublas_performance_for_matrix/ | Optimal-Outcome-7458 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdde3k | false | null | t3_1pdde3k | /r/LocalLLaMA/comments/1pdde3k/cudal2_surpassing_cublas_performance_for_matrix/ | false | false | 1 | {'enabled': False, 'images': [{'id': '_LzbvUhAvq3cBNTHGLRibYHxf-f06D5iS4U8vZ5aujM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_LzbvUhAvq3cBNTHGLRibYHxf-f06D5iS4U8vZ5aujM.png?width=108&crop=smart&auto=webp&s=15943189abe258afcb269d5534a21daad9f626cf', 'width': 108}, {'height': 108, 'url': 'h... | |
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning | 1 | ABS:
Matrix multiplication (matmul) is one of the most fundamental operations in LLMs. However, manually optimizing Matmul kernels is challenging due to the fact that different matrix dimension (M, N, K) require different optimization strategies and that optimizations rarely transform across different GPU architectu... | 2025-12-03T19:06:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pddb1j/cudal2_surpassing_cublas_performance_for_matrix/ | Optimal-Outcome-7458 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pddb1j | false | null | t3_1pddb1j | /r/LocalLLaMA/comments/1pddb1j/cudal2_surpassing_cublas_performance_for_matrix/ | false | false | self | 1 | null |
Pondering a 3090 Founders vs a Bosgame M5. I have questions! | 1 | Hey guys,
I hope it's okay to ask, but I've been reading a lot recently and I'm considering either upgrading to a 3090 founders or a Bosgame M5 -- my biggest question is that I keep seeing people say that the M5 is slower on dense models. I was wondering what they mean when they say slow and how slow is "slow" in ... | 2025-12-03T19:03:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pdd83z/pondering_a_3090_founders_vs_a_bosgame_m5_i_have/ | Orpheusly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdd83z | false | null | t3_1pdd83z | /r/LocalLLaMA/comments/1pdd83z/pondering_a_3090_founders_vs_a_bosgame_m5_i_have/ | false | false | self | 1 | null |
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning | 1 | Using RL, CUDA-L2 optimizes HGEMM kernels across 1,000 MxNxK configurations. It outperforms major matmul baselines to date.
In offline mode, it yields +22.0% over torch.matmul, +19.2% over cuBLAS, +16.8% over cuBLASLt-heuristic, and +11.4% over the most competitive cuBLASLt-AutoTuning.
In server mode, the speedups ... | 2025-12-03T18:55:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pdcz65/cudal2_surpassing_cublas_performance_for_matrix/ | Single_Savings_5166 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdcz65 | false | null | t3_1pdcz65 | /r/LocalLLaMA/comments/1pdcz65/cudal2_surpassing_cublas_performance_for_matrix/ | false | false | self | 1 | null |
Micron Announces Exit from Crucial Consumer Business | 411 | Technically speaking, we're screwed. | 2025-12-03T18:54:47 | https://investors.micron.com/news-releases/news-release-details/micron-announces-exit-crucial-consumer-business | FullstackSensei | investors.micron.com | 1970-01-01T00:00:00 | 0 | {} | 1pdcytv | false | null | t3_1pdcytv | /r/LocalLLaMA/comments/1pdcytv/micron_announces_exit_from_crucial_consumer/ | false | false | default | 411 | null |
UX Research: Why is the cloud experience for LLMs still so painful compared to local? | 0 | Hi everyone, I’m a UX Researcher working with a small team of engineers. We’re trying to design a new GPU infrastructure platform, and I’m trying to understand why the current market feels so broken.
My hypothesis is that many of you build local rigs (3090s/4090s) not just for cost, but because cloud providers (AWS/Ru... | 2025-12-03T18:24:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pdc3th/ux_research_why_is_the_cloud_experience_for_llms/ | Two_Duckz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdc3th | false | null | t3_1pdc3th | /r/LocalLLaMA/comments/1pdc3th/ux_research_why_is_the_cloud_experience_for_llms/ | false | false | self | 0 | null |
Help - Qwen3 LV - LM Studio instant response - Claude Code Router takes over 20 min | 3 | Hey all,
First of all, I hope I'm in the right reddit, if not, boo me out and I'll delete it :)
So I'm playing with claude code router (local LLM proxy for claude code) and I noticed the responses I got where, well, underwhelming. For example, I've tried to make a component based on an input image. But no luck, ... | 2025-12-03T18:19:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pdbyhg/help_qwen3_lv_lm_studio_instant_response_claude/ | designbanana | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdbyhg | false | null | t3_1pdbyhg | /r/LocalLLaMA/comments/1pdbyhg/help_qwen3_lv_lm_studio_instant_response_claude/ | false | false | self | 3 | null |
Nvidia RTX 6000 Pro Height | 1 | Are all Nvidia RTX 6000 pro workstation edition card extended height? | 2025-12-03T18:17:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pdbwxd/nvidia_rtx_6000_pro_height/ | renovatio522 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pdbwxd | false | null | t3_1pdbwxd | /r/LocalLLaMA/comments/1pdbwxd/nvidia_rtx_6000_pro_height/ | false | false | self | 1 | null |
TOON vs JSON: A Reality Check - When It Saves Tokens and When It Doesn't | 1 | [removed] | 2025-12-03T17:23:36 | https://dev.to/prodbld/toon-vs-json-a-reality-check-when-it-saves-tokens-and-when-it-doesnt-1b6m | blazarious | dev.to | 1970-01-01T00:00:00 | 0 | {} | 1pdae1h | false | null | t3_1pdae1h | /r/LocalLLaMA/comments/1pdae1h/toon_vs_json_a_reality_check_when_it_saves_tokens/ | false | false | default | 1 | null |
Why new SLMs are trained on very large amount of tokens? | 0 | The new route for lots of small language models (less than 10B) is training on VERY LARGE amount of tokens.
I'm not an AI expert nor I claim to be,but I've read a research paper before saying that scaling over 20 tokens (words?)/parameter in small models will result in diminishing results as the model capacity will no... | 2025-12-03T17:17:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pda7wb/why_new_slms_are_trained_on_very_large_amount_of/ | AI-Man-75 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pda7wb | false | null | t3_1pda7wb | /r/LocalLLaMA/comments/1pda7wb/why_new_slms_are_trained_on_very_large_amount_of/ | false | false | self | 0 | null |
A Technical Tour of the DeepSeek Models from V3 to V3.2 | 55 | 2025-12-03T17:03:17 | https://sebastianraschka.com/blog/2025/technical-deepseek.html | seraschka | sebastianraschka.com | 1970-01-01T00:00:00 | 0 | {} | 1pd9tgj | false | null | t3_1pd9tgj | /r/LocalLLaMA/comments/1pd9tgj/a_technical_tour_of_the_deepseek_models_from_v3/ | false | false | default | 55 | {'enabled': False, 'images': [{'id': 'Oy9W7OYOeVO8Z6Sl3EWWZR-9AbREkAwoyEei1XJ7yeY', 'resolutions': [{'height': 90, 'url': 'https://external-preview.redd.it/Oy9W7OYOeVO8Z6Sl3EWWZR-9AbREkAwoyEei1XJ7yeY.jpeg?width=108&crop=smart&auto=webp&s=9b5485ae2dde659fab96066362f6042b5f511a7d', 'width': 108}, {'height': 180, 'url': '... | |
New 17,000 Epstein Files leak available to download (~2,4 GB) | 0 | I recently found MANY files which are now deleted by the FBI.
The files include documents, images, videos and e-mails.
I am 100% this post will be deleted as this sub is most likely BEING monitored by the FBI. Took me a lot of time to scrape together everything with my team. And it is compressed and readable and w... | 2025-12-03T16:58:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pd9ofc/new_17000_epstein_files_leak_available_to/ | ComprehensiveWear598 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd9ofc | false | null | t3_1pd9ofc | /r/LocalLLaMA/comments/1pd9ofc/new_17000_epstein_files_leak_available_to/ | false | false | self | 0 | null |
I trained a 7B to learn a niche language and reaching 86% code accuracy | 64 | Hi everyone, I just wanted to share a project I did over the last weekend.
I’m no ML engineer or having any relevant background in AI, just have been toying with the idea of training an LLM myself for a while.
Most of my previous training attempts did not yield and meaningful result, but I’m still managed to learned ... | 2025-12-03T16:49:14 | https://www.reddit.com/gallery/1pd9f4x | bobaburger | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pd9f4x | false | null | t3_1pd9f4x | /r/LocalLLaMA/comments/1pd9f4x/i_trained_a_7b_to_learn_a_niche_language_and/ | false | false | 64 | null | |
Cheapest and best way to host a GGUF model with an API (like OpenAI) for production? | 4 | Hey folks,
I'm trying to host a `.gguf` LLM in a way that lets me access it using an API — similar to how we call the OpenAI API (`/v1/chat/completions`, etc).
I want to expose my own hosted GGUF model through a clean HTTP API that any app can use.
### What I need:
1. **Host a GGUF model** (7B / 13B / possibly 30B ... | 2025-12-03T16:15:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pd8i1u/cheapest_and_best_way_to_host_a_gguf_model_with/ | New-Worry6487 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd8i1u | false | null | t3_1pd8i1u | /r/LocalLLaMA/comments/1pd8i1u/cheapest_and_best_way_to_host_a_gguf_model_with/ | false | false | self | 4 | null |
Need advice on a scalable on-prem LLM/RAG build for confidential technical docs (10–15k budget) | 5 | **Budget:** $10–15k - budget is flexible, feel free to go a little over or under. I will also have the ability to add to this over time in chunks of a couple thousand at once.
**Goal:**
I want to build an on-prem machine to store confidential technical docs (500–2000 pages each) and use RAG to extract and answer ques... | 2025-12-03T16:06:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pd88rx/need_advice_on_a_scalable_onprem_llmrag_build_for/ | phoez12 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd88rx | false | null | t3_1pd88rx | /r/LocalLLaMA/comments/1pd88rx/need_advice_on_a_scalable_onprem_llmrag_build_for/ | false | false | self | 5 | null |
Using RunPod + Index TTS as an LLM-Friendly TTS Backend (Setup & Notes) | 1 | [removed] | 2025-12-03T15:28:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pd78df/using_runpod_index_tts_as_an_llmfriendly_tts/ | renato_diniss | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd78df | false | null | t3_1pd78df | /r/LocalLLaMA/comments/1pd78df/using_runpod_index_tts_as_an_llmfriendly_tts/ | false | false | self | 1 | null |
Does anyone use RunPod for SFT? If yes, you train via SSH or Jupyter (web-hosted) | 7 | In a week or 2, I want to rent one B200 ($5.2/hr) to do SFT (Supervised Fine-Tuning) for GPT-OSS-120B on a \~30k row dataset.
I have done training for 2-4 hours a few months ago, but sometimes the Jupyter notebook crashed (got a message like "Connection lost" or something like that) and often had to restart training.... | 2025-12-03T15:15:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pd6vxu/does_anyone_use_runpod_for_sft_if_yes_you_train/ | TechNerd10191 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd6vxu | false | null | t3_1pd6vxu | /r/LocalLLaMA/comments/1pd6vxu/does_anyone_use_runpod_for_sft_if_yes_you_train/ | false | false | self | 7 | null |
Euryale-70B – 100 Slow-Burn Romantic Dialogue Seeds ($29) | 0 | Just dropped my first dataset: 100 seeds from uncensored Euryale-70B. Perfect for romantic/ERP LoRAs and SillyTavern.
Free 10-seed teaser: https://huggingface.co/datasets/VerenLabs/Euryale-70B-10-GFE-Seeds-Free-Teaser
Full pack ($29 instant download): https://ko-fi.com/s/cf650d8256
Feedback welcome. | 2025-12-03T14:47:58 | https://www.reddit.com/r/LocalLLaMA/comments/1pd65f3/euryale70b_100_slowburn_romantic_dialogue_seeds_29/ | Ok-Barracuda-4486 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd65f3 | false | null | t3_1pd65f3 | /r/LocalLLaMA/comments/1pd65f3/euryale70b_100_slowburn_romantic_dialogue_seeds_29/ | false | false | self | 0 | null |
My experiences with the new Ministral 3 14B Reasoning 2512 Q8 | 84 | 45 minutes and 33K tokens of thinking about making html tetris (1 line prompt):
https://preview.redd.it/jzjcom93105g1.png?width=500&format=png&auto=webp&s=8d67b1b895715d2dfbb927db0bc2bc485b28b819
Tool calling breaks all the time:
https://preview.redd.it/02edr424105g1.png?width=314&format=png&auto=webp&s=67cccfd1b1fd... | 2025-12-03T14:41:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pd5yxy/my_experiences_with_the_new_ministral_3_14b/ | egomarker | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd5yxy | false | null | t3_1pd5yxy | /r/LocalLLaMA/comments/1pd5yxy/my_experiences_with_the_new_ministral_3_14b/ | false | false | 84 | null | |
Hear me out before dismissing my app like all the other vibecoded crap you see here. It’s currently the best BYOK app for web search. | 0 | It’s still in testing and if one wants to try it they can here with TestFlight https://testflight.apple.com/join/N4G1AYFJ
The app is free so refrain from downvoting the post like it’s now common practice with people talking about their projects.
Try it out and then feel free to downvote.
It’s basically the only brin... | 2025-12-03T14:30:23 | https://www.reddit.com/gallery/1pd5ovv | Valuable-Run2129 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pd5ovv | false | null | t3_1pd5ovv | /r/LocalLLaMA/comments/1pd5ovv/hear_me_out_before_dismissing_my_app_like_all_the/ | false | false | 0 | null | |
LocalRAG Pro — offline RAG desktop app (Tauri + Ollama + LanceDB) — would love your feedback | 1 | [removed] | 2025-12-03T14:29:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pd5nrb/localrag_pro_offline_rag_desktop_app_tauri_ollama/ | Fantastic_Fortune768 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd5nrb | false | null | t3_1pd5nrb | /r/LocalLLaMA/comments/1pd5nrb/localrag_pro_offline_rag_desktop_app_tauri_ollama/ | false | false | self | 1 | null |
EchoKit (Voice Interface for Local LLMs) Update: Added Dynamic System Prompts & MCP Tool Wait Messages | 7 | We are building **EchoKit**, a hardware/software stack to give a voice to your local LLMs. It connects to OpenAI-compatible endpoints, meaning you can run it with LlamaEdge, standard LlamaCPP, or even Groq/Gemini.
We just released a server update that makes testing different "Agents" much faster:
**1. Dynamic Prompt ... | 2025-12-03T13:58:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pd4vp0/echokit_voice_interface_for_local_llms_update/ | smileymileycoin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd4vp0 | false | null | t3_1pd4vp0 | /r/LocalLLaMA/comments/1pd4vp0/echokit_voice_interface_for_local_llms_update/ | false | false | self | 7 | null |
Why don't Google and Openai release their old models? | 132 | GPt 4 and gemini 2 pro are dated, they should release it... Are they afraid of releasing their data and architecture? They released gemma and gpt oss already. Gemini 2 has a large context window, but the quality degrades when it gets large though and it is replicable.. | 2025-12-03T13:19:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pd3xyp/why_dont_google_and_openai_release_their_old/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd3xyp | false | null | t3_1pd3xyp | /r/LocalLLaMA/comments/1pd3xyp/why_dont_google_and_openai_release_their_old/ | false | false | self | 132 | null |
Can we expect better LLM hardware in 2026? | 16 | I mean with a lot of fast(!) VRAM.
DGX spark and AMD AI Max have really low memory speeds.
China is releasing so many open source models, when will they come with cheap hardware that we can run them? | 2025-12-03T13:16:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pd3uvy/can_we_expect_better_llm_hardware_in_2026/ | Bitter-College8786 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd3uvy | false | null | t3_1pd3uvy | /r/LocalLLaMA/comments/1pd3uvy/can_we_expect_better_llm_hardware_in_2026/ | false | false | self | 16 | null |
Trying to move to ik_llama.cpp from ollama. Need some help with args.. | 3 | Hey y'all. I've been running the Derestricted 120B model on ollama. It was super slow so I moved over to LMstudio. One of the main features that helped a lot was keeping KVcache on GPU and offloading experts to CPU.
Apparently, ik\_llama.cpp is faster than llama.cpp for hybrid infrence and there seems to be contro... | 2025-12-03T13:07:48 | https://www.reddit.com/r/LocalLLaMA/comments/1pd3o67/trying_to_move_to_ik_llamacpp_from_ollama_need/ | My_Unbiased_Opinion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd3o67 | false | null | t3_1pd3o67 | /r/LocalLLaMA/comments/1pd3o67/trying_to_move_to_ik_llamacpp_from_ollama_need/ | false | false | self | 3 | null |
Intel Arc Pro B60 Battlematrix Preview: 192GB of VRAM for On-Premise AI | 33 | 2025-12-03T13:05:36 | https://www.storagereview.com/review/intel-arc-pro-b60-battlematrix-preview-192gb-of-vram-for-on-premise-ai | reps_up | storagereview.com | 1970-01-01T00:00:00 | 0 | {} | 1pd3mdw | false | null | t3_1pd3mdw | /r/LocalLLaMA/comments/1pd3mdw/intel_arc_pro_b60_battlematrix_preview_192gb_of/ | false | false | default | 33 | {'enabled': False, 'images': [{'id': '0mZ7_HvOTkdLgtq4s_qT3vry9cE_RWRALKiuljZ3Fl8', 'resolutions': [{'height': 68, 'url': 'https://external-preview.redd.it/0mZ7_HvOTkdLgtq4s_qT3vry9cE_RWRALKiuljZ3Fl8.jpeg?width=108&crop=smart&auto=webp&s=8588e4fd64043093f314dc1485482e57d52f8b6b', 'width': 108}, {'height': 136, 'url': '... | |
can llma 3.2-1b see picture (LOCAL AI) | 0 | question: can LOCAL AI llma 3.2-1b can see/vision like picture or video answer: the answer is yes question: how to send picture if no button in our mobile devices answer: the answer is link how to u post just went in Google photo or watever apps question: how we believing you if you're not showing us answer: sigh u ... | 2025-12-03T12:47:20 | Adventurous_Role_489 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pd383v | false | null | t3_1pd383v | /r/LocalLLaMA/comments/1pd383v/can_llma_321b_see_picture_local_ai/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '5jpklk8niz4g1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/5jpklk8niz4g1.jpeg?width=108&crop=smart&auto=webp&s=398c84769bc5002c043fb4a99bacdcdffbab8f56', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/5jpklk8niz4g1.jpeg?width=216&crop=smart&auto=... | |
LLM Council - Multi-model AI with democratic voting (Enhanced fork with 5 production features) | 3 | I've been working on an enhanced version of Karpathy's LLM Council that adds production-ready features while keeping the original vision intact.
# What is LLM Council?
Instead of asking one LLM, you ask multiple models simultaneously. They each respond, then anonymously rank each other's answers, and a chairman synth... | 2025-12-03T12:44:59 | https://www.reddit.com/r/LocalLLaMA/comments/1pd36b7/llm_council_multimodel_ai_with_democratic_voting/ | Distinct_Site_3462 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd36b7 | false | null | t3_1pd36b7 | /r/LocalLLaMA/comments/1pd36b7/llm_council_multimodel_ai_with_democratic_voting/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'oxiLKGdjabKs00vF6hrDv29aCreuDO4Xpd0rSUQ7Cuw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/oxiLKGdjabKs00vF6hrDv29aCreuDO4Xpd0rSUQ7Cuw.png?width=108&crop=smart&auto=webp&s=3797fb26037089516dac57e5a21b4d7b2ab104c4', 'width': 108}, {'height': 108, 'url': 'h... |
can llma 3.2-1b (LOCAL AI) | 1 | question: can LOCAL AI llma 3.2-1b can see/vision like picture or video answer: the answer is question: how to send picture if no button answer: the answer is link how to u just went in Google photo or watever apps. | 2025-12-03T12:41:20 | Adventurous_Role_489 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pd33hz | false | null | t3_1pd33hz | /r/LocalLLaMA/comments/1pd33hz/can_llma_321b_local_ai/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'dM6uEb4MdNhhSolzj2qqKzNrtHT8WKLXm2MOX56ZaWc', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/gh6kq85hhz4g1.jpeg?width=108&crop=smart&auto=webp&s=5391bc621e9d79e0bab62543c54848e5b434f323', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/gh6kq85hhz4g1.j... | ||
I built an offline AI chat app that automatically pulls Wikipedia articles for factual answers - runs completely locally with Ollama | 5 | [https://github.com/imDelivered/WikiRAG](https://github.com/imDelivered/WikiRAG)
• Runs 100% offline - no internet needed after initial setup
• Automatically injects relevant Wikipedia articles into AI responses (RAG)
• Privacy-focused - everything runs locally on your machine
• Works with any Ollama model (llama3.... | 2025-12-03T12:32:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pd2x8u/i_built_an_offline_ai_chat_app_that_automatically/ | Smart-Competition200 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd2x8u | false | null | t3_1pd2x8u | /r/LocalLLaMA/comments/1pd2x8u/i_built_an_offline_ai_chat_app_that_automatically/ | false | false | self | 5 | null |
DeepSeek V3.2 Technical Report | 289 | Here is a brief summary of **key breakthroughs of DeepSeek V3.2**
**1. DeepSeek Sparse Attention (DSA)**
A new efficient attention mechanism that dramatically reduces computational complexity while preserving performance in long-context scenarios.
It uses a lightning indexer with fine-grained top-k token selection ... | 2025-12-03T12:31:51 | Dear-Success-1441 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pd2wjt | false | null | t3_1pd2wjt | /r/LocalLLaMA/comments/1pd2wjt/deepseek_v32_technical_report/ | false | false | default | 289 | {'enabled': True, 'images': [{'id': 'q3rjrhs0gz4g1', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/q3rjrhs0gz4g1.jpeg?width=108&crop=smart&auto=webp&s=c5077ffbc4ee663cac6a56e44f2b2cb526fa2ab5', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/q3rjrhs0gz4g1.jpeg?width=216&crop=smart&auto=w... | |
Any papers/good information about creating paraphrase datasets. | 0 | I am currently working on creating a paraphrase dataset to eventually finetune my own model. I think I have created a fairly good algorithm to pair paraphrases but I want to make sure, thus I am wondering if any of the people here know of some good resources. | 2025-12-03T12:24:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pd2r2w/any_papersgood_information_about_creating/ | AdventurousFly4909 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd2r2w | false | null | t3_1pd2r2w | /r/LocalLLaMA/comments/1pd2r2w/any_papersgood_information_about_creating/ | false | false | self | 0 | null |
fully local AI system with wikipidia RAG | 2 | [https://github.com/imDelivered/WikiRAG](https://github.com/imDelivered/WikiRAG) | 2025-12-03T12:23:19 | https://www.reddit.com/r/LocalLLaMA/comments/1pd2qia/fully_local_ai_system_with_wikipidia_rag/ | Smart-Competition200 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd2qia | false | null | t3_1pd2qia | /r/LocalLLaMA/comments/1pd2qia/fully_local_ai_system_with_wikipidia_rag/ | false | false | self | 2 | null |
apple/CLaRa-7B-Instruct · Hugging Face | 42 | [https://huggingface.co/apple/CLaRa-7B-Instruct](https://huggingface.co/apple/CLaRa-7B-Instruct) | 2025-12-03T11:43:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pd1zeu/appleclara7binstruct_hugging_face/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd1zeu | false | null | t3_1pd1zeu | /r/LocalLLaMA/comments/1pd1zeu/appleclara7binstruct_hugging_face/ | false | false | self | 42 | {'enabled': False, 'images': [{'id': 'LjqIFCkEjX7aN0_Y_27jWMcvHQccxskIhXZAhgd23l0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/LjqIFCkEjX7aN0_Y_27jWMcvHQccxskIhXZAhgd23l0.png?width=108&crop=smart&auto=webp&s=6093d902b7d289cc2379297f5b8eb689245bf3c2', 'width': 108}, {'height': 116, 'url': 'h... |
Hot take: We’re overselling 'semantic search' in RAG. | 62 | I've been building some RAG stuff and 'semantic search' feels way more magical in marketing than in reality.
Embeddings are great **fuzzy matchers in meaning space** \- they shine on paraphrases, synonyms, 'something like this' queries. But whenever I need sharper behavior (logic, constraints, dates, 'papers using X o... | 2025-12-03T11:42:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pd1yqc/hot_take_were_overselling_semantic_search_in_rag/ | Raisin_False | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd1yqc | false | null | t3_1pd1yqc | /r/LocalLLaMA/comments/1pd1yqc/hot_take_were_overselling_semantic_search_in_rag/ | false | false | self | 62 | null |
[Benchmark] I stress-tested Llama-3, Mistral & Olmo on "Coherent" vs "Chaotic" Rule Lists (50-400 items). It turns out LLMs listen better when it makes sense. | 1 | In the real world, whether we are generating code, legal docs, or creative writing our instructions usually have semantic structure.
I wanted to know: Does the "entropy" of the instructions affect the model's ability to follow them?
If I specify to a model 200 words only about "Cooking" (Coherent words) and task it w... | 2025-12-03T11:27:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pd1pev/benchmark_i_stresstested_llama3_mistral_olmo_on/ | Accurate-Turn-2675 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd1pev | false | null | t3_1pd1pev | /r/LocalLLaMA/comments/1pd1pev/benchmark_i_stresstested_llama3_mistral_olmo_on/ | false | false | 1 | null | |
OpenAI's moat didn't leak, three forces broke it at once | 25 | Everyone's framing the past two weeks as OpenAI vs Google.
ChatGPT DAUs down 6% after Gemini 3 launched. Sam Altman declares "Code Red" internally. Pauses ads, shopping, health agents. All hands on deck. But i think that's not the story. The story is that three forces converged in the same month, and OpenAI can't out... | 2025-12-03T11:12:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pd1fxx/openais_moat_didnt_leak_three_forces_broke_it_at/ | medi6 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd1fxx | false | null | t3_1pd1fxx | /r/LocalLLaMA/comments/1pd1fxx/openais_moat_didnt_leak_three_forces_broke_it_at/ | false | false | self | 25 | null |
RAG Paper 25.12.02 | 4 | 1. [MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image Understanding](http://arxiv.org/abs/2512.02906v1)
2. [TriLex: A Framework for Multilingual Sentiment Analysis in Low-Resource South African Languages](http://arxiv.org/abs/2512.02799v1)
3. [StockMem: An Event-Reflection Memory Framework for... | 2025-12-03T10:21:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pd0lae/rag_paper_251202/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd0lae | false | null | t3_1pd0lae | /r/LocalLLaMA/comments/1pd0lae/rag_paper_251202/ | false | false | self | 4 | null |
Building SFT from scratch - results & learnings | 2 | Continuing my "building from scratch" series ([GPT-2](https://github.com/garg-aayush/building-from-scratch/tree/main/gpt-2), [LLM inference](https://github.com/garg-aayush/building-from-scratch/tree/main/llm-inference)), I implemented supervised fine-tuning (SFT) from the ground up, loosely following Stanford's [CS336 ... | 2025-12-03T10:15:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pd0hvi/building_sft_from_scratch_results_learnings/ | garg-aayush | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd0hvi | false | null | t3_1pd0hvi | /r/LocalLLaMA/comments/1pd0hvi/building_sft_from_scratch_results_learnings/ | false | false | 2 | null | |
I figured out how to nudge LLMs to solve almost any problem, very similar to real general intelligence. However, automating it requires two major architectural changes that we haven't figured out yet. | 0 | *Note: it is a repost because the author of this article was not able to publish it on Reddit. The author's Substack is linked below.*
AGI is likely just good old self-supervised continual few-shot learning with loss reduction as reward signal. What? Yes.
# Summary
* Loss/perplexity/rarity is the single best predi... | 2025-12-03T10:12:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pd0g2v/i_figured_out_how_to_nudge_llms_to_solve_almost/ | Dark_Fire_12 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd0g2v | false | null | t3_1pd0g2v | /r/LocalLLaMA/comments/1pd0g2v/i_figured_out_how_to_nudge_llms_to_solve_almost/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'g-5z8ukqd7ZpwpncXGWF5-zHvI6wMZTdVhOihv37vjw', 'resolutions': [{'height': 16, 'url': 'https://external-preview.redd.it/g-5z8ukqd7ZpwpncXGWF5-zHvI6wMZTdVhOihv37vjw.jpeg?width=108&crop=smart&auto=webp&s=511e2bfd93b22c36d2b4ca3741085ce68f006fa6', 'width': 108}, {'height': 32, 'url': 'h... |
[P] Built Multi-LLM Orchestrator – unified Python client for GigaChat, YandexGPT & Ollama with auto-fallback | 0 | Hey LocalLLaMA! I built a Python library that solves a problem I kept hitting: how do you use Ollama as your primary LLM but seamlessly fall back to cloud providers (like Russian GigaChat/YandexGPT) when your local GPU is busy or the model isn't downloaded yet?
**Multi-LLM Orchestrator** provides a unified interface a... | 2025-12-03T09:58:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pd082c/p_built_multillm_orchestrator_unified_python/ | Subject_Pen_4816 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd082c | false | null | t3_1pd082c | /r/LocalLLaMA/comments/1pd082c/p_built_multillm_orchestrator_unified_python/ | false | false | self | 0 | null |
Chinese startup founded by Google engineer claims to have developed its own tpu reportedly 1.5 times faster than nvidia a100. | 504 | https://www.tomshardware.com/tech-industry/chinese-startup-founded-by-google-engineer-claims-to-have-developed-its-own-tpu-reportedly-1-5-times-faster-than-nvidias-a100-gpu-from-2020-42-percent-more-efficient
| 2025-12-03T09:51:40 | https://www.reddit.com/r/LocalLLaMA/comments/1pd04cn/chinese_startup_founded_by_google_engineer_claims/ | Turbulent_Pin7635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pd04cn | false | null | t3_1pd04cn | /r/LocalLLaMA/comments/1pd04cn/chinese_startup_founded_by_google_engineer_claims/ | false | false | self | 504 | {'enabled': False, 'images': [{'id': 'hC5hKGtFjbA9pIJUsgLdxlOmEr-NX-ueFNCvTgQ_Ze8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/hC5hKGtFjbA9pIJUsgLdxlOmEr-NX-ueFNCvTgQ_Ze8.jpeg?width=108&crop=smart&auto=webp&s=5a6733cb781b44b294a8627bf4353ea7bacabb19', 'width': 108}, {'height': 121, 'url': '... |
Apple Studio M1 Ultra 128GB -> it is still worth for LLM? | 0 | Hi ,
considering to buy M1 Ultra studio, but dont have recent benchmark info.
How much is capable with e.g qwen3 70b in regards of TPS ? | 2025-12-03T08:59:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pczbeo/apple_studio_m1_ultra_128gb_it_is_still_worth_for/ | JonasTecs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pczbeo | false | null | t3_1pczbeo | /r/LocalLLaMA/comments/1pczbeo/apple_studio_m1_ultra_128gb_it_is_still_worth_for/ | false | false | self | 0 | null |
Access for free users on chat.primeintellect.ai is restricted to 20 prompts. | 0 | 2025-12-03T08:55:43 | luckything321 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pcz972 | false | null | t3_1pcz972 | /r/LocalLLaMA/comments/1pcz972/access_for_free_users_on_chatprimeintellectai_is/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '3x5m3hu5ey4g1', 'resolutions': [{'height': 40, 'url': 'https://preview.redd.it/3x5m3hu5ey4g1.jpeg?width=108&crop=smart&auto=webp&s=dfdb2365fecd531fb682c23486a39e51ffc1ea05', 'width': 108}, {'height': 81, 'url': 'https://preview.redd.it/3x5m3hu5ey4g1.jpeg?width=216&crop=smart&auto=we... | ||
Access for free users on chat.primeintellect.ai is restricted to 20 prompts. | 1 | 2025-12-03T08:53:01 | JeffreySons_90 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pcz7ra | false | null | t3_1pcz7ra | /r/LocalLLaMA/comments/1pcz7ra/access_for_free_users_on_chatprimeintellectai_is/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'eTu55kN9kv5c8n2Sru0QvAtwDXIvH-Q-cyKVvzk1ZTo', 'resolutions': [{'height': 40, 'url': 'https://preview.redd.it/ju1w3lvndy4g1.jpeg?width=108&crop=smart&auto=webp&s=abfe4e88ab42563bf8b0f77af71a7b166e892846', 'width': 108}, {'height': 81, 'url': 'https://preview.redd.it/ju1w3lvndy4g1.jpe... | |||
Semantic deduplication | 0 | Side project - Waiter by day - Love algorithms
Performance Summary Table 20000 Queries test
10000 stack overflow posts (110k)
10000 Customer support data source huggingface bitrex
Test results
on CPU
Vocabulary Growth O(log N) - Proven YES
No compliance Compression (diverse SO) 1.44x (30%) ... | 2025-12-03T08:29:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pcyuvs/semantic_deduplication/ | Ljumberg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcyuvs | false | null | t3_1pcyuvs | /r/LocalLLaMA/comments/1pcyuvs/semantic_deduplication/ | false | false | self | 0 | null |
The security risks of "Emoji Smuggling" and Hidden Prompts for Local Agents | 0 | Hi everyone,
Long-time lurker here. We spend a lot of time optimizing inference speeds, quantization, and finding the best uncensored models. But I've been thinking about the security implications for Local Agents that have access to our tools/APIs.
I created a video demonstrating Prompt Injection techniques, specifi... | 2025-12-03T08:18:48 | https://www.reddit.com/r/LocalLLaMA/comments/1pcyp5z/the_security_risks_of_emoji_smuggling_and_hidden/ | jokiruiz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcyp5z | false | null | t3_1pcyp5z | /r/LocalLLaMA/comments/1pcyp5z/the_security_risks_of_emoji_smuggling_and_hidden/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'CrHzINV36_DUduiLudPceo3nK8KPgigAROITUuholcI', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/CrHzINV36_DUduiLudPceo3nK8KPgigAROITUuholcI.jpeg?width=108&crop=smart&auto=webp&s=a5989647c8d4475440ef14247c701f360f5e4448', 'width': 108}, {'height': 162, 'url': '... |
The unexpected guest to the dependencies party eats up all the space | 0 | When you have to include torch into your purely LLM and API-based Python project's dependency list... for science! | 2025-12-03T08:07:06 | CucumberBackground83 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pcyim2 | false | null | t3_1pcyim2 | /r/LocalLLaMA/comments/1pcyim2/the_unexpected_guest_to_the_dependencies_party/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'f1kd970j3y4g1', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/f1kd970j3y4g1.png?width=108&crop=smart&auto=webp&s=afbad00afc6c41e99b7a95f157d661c009cf5b82', 'width': 108}, {'height': 129, 'url': 'https://preview.redd.it/f1kd970j3y4g1.png?width=216&crop=smart&auto=web... | |
Top 20 Tech Companies every LocalLLaMa Reddit Group professional must know about for Career link | 1 | [removed] | 2025-12-03T06:55:25 | https://newsaffairng.com/2024/06/20/the-worlds-top-20-tech-companies-location-market-cap-and-career-links-2/ | Jonnysinsey | newsaffairng.com | 1970-01-01T00:00:00 | 0 | {} | 1pcxcyn | false | null | t3_1pcxcyn | /r/LocalLLaMA/comments/1pcxcyn/top_20_tech_companies_every_localllama_reddit/ | false | false | default | 1 | null |
LLMs are bullshitters. But that doesn't mean they're not useful | 0 | 2025-12-03T06:01:29 | https://blog.kagi.com/llms | TheRealMasonMac | blog.kagi.com | 1970-01-01T00:00:00 | 0 | {} | 1pcwfs6 | false | null | t3_1pcwfs6 | /r/LocalLLaMA/comments/1pcwfs6/llms_are_bullshitters_but_that_doesnt_mean_theyre/ | false | false | default | 0 | null | |
Llama 3.1 70B + one prompt now beats Claude 3.5 Sonnet (96.9% on Arena-Hard-Auto, 4% refusals) | 17 | I spent the last few weeks iterating a single system prompt until stock Llama-3.1-70B-Instruct started outperforming Claude 3.5 Sonnet on the hardest blind arena benchmark.
Results (100% reproducible):
• 96.4–96.9% win rate on Arena-Hard-Auto (vs Sonnet’s 94.7%)
• Only 4% refusals (base model is ~25–30%)
• Dense, c... | 2025-12-03T06:00:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pcwffb/llama_31_70b_one_prompt_now_beats_claude_35/ | NoSir261 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcwffb | false | null | t3_1pcwffb | /r/LocalLLaMA/comments/1pcwffb/llama_31_70b_one_prompt_now_beats_claude_35/ | false | false | self | 17 | null |
Prompt engineering | 1 | Hi everyone,
I’m working on a prompt for a shopping assistant chatbot for a clothing brand.
The bot should answer questions about one item or multiple items, only using the item information provided to it.
I’m fine-tuning a Llama model, but sometimes the responses are incomplete or it refuses to answer even when the ... | 2025-12-03T05:57:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pcwd0m/prompt_engineering/ | Designer_Grocery2732 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcwd0m | false | null | t3_1pcwd0m | /r/LocalLLaMA/comments/1pcwd0m/prompt_engineering/ | false | false | self | 1 | null |
EU failing in Generative AI? Flux 2 - Mistral 3 | 0 | Black Forest Labs and Mistral. Two groundbreakers and beasts when they first launched their first models.
When Mistral first launched their 7B they were totally groundbreaking and blew the large Llama models out of the water, they also released the first MoE model to the market - the concept of Mixtral was fantastic a... | 2025-12-03T05:53:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pcwamg/eu_failing_in_generative_ai_flux_2_mistral_3/ | quantier | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcwamg | false | null | t3_1pcwamg | /r/LocalLLaMA/comments/1pcwamg/eu_failing_in_generative_ai_flux_2_mistral_3/ | false | false | self | 0 | null |
LocalRAG Pro — offline RAG app for chatting with your folders (feedback on LanceDB + Ollama setup?) | 1 | [removed] | 2025-12-03T05:28:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pcvuc8/localrag_pro_offline_rag_app_for_chatting_with/ | Urokodaki0147 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcvuc8 | false | null | t3_1pcvuc8 | /r/LocalLLaMA/comments/1pcvuc8/localrag_pro_offline_rag_app_for_chatting_with/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'MnKsQ6Gi6sLkrDNQOrHbqOZXvYREZVLFNOioeUhDpuw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/MnKsQ6Gi6sLkrDNQOrHbqOZXvYREZVLFNOioeUhDpuw.png?width=108&crop=smart&auto=webp&s=76d1c3bdb45c20ba3a1b18a482c0fcdb2078d2fa', 'width': 108}, {'height': 108, 'url': 'h... |
Local models can outperform bigger ones on market tasks if you structure them properly. | 1 | It’s not about raw power — it’s about:
• reflection
• cross-checking
• filtering noise
• and making them justify assumptions
Tested multiple setups and the smaller models held their own surprisingly well.
Others in the community tested the same workflows with tiny models and got similar results.
We’re refining e... | 2025-12-03T04:59:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pcva8m/local_models_can_outperform_bigger_ones_on_market/ | Key-Painter6598 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcva8m | false | null | t3_1pcva8m | /r/LocalLLaMA/comments/1pcva8m/local_models_can_outperform_bigger_ones_on_market/ | false | false | self | 1 | null |
Maaza Orchestrator v1.2 — 9.6M params, 62.9 % on hard adversarial tool-calling, 39 ms latency | 26 | Just shipped v1.2 of Maaza Orchestrator (9.6 M params).
|Split|v1.0|v1.2|Δ|
|:-|:-|:-|:-|
|In-distribution accuracy|88.0%|86.0%|−2.0%|
|Adversarial tool-calling|26.6%|62.9%|**+36.3%**|
|p50 latency (CPU)|**33.4ms**|**39.4ms**|**+6.0ms**|
The adversarial set is 124 held-out examples across 36 tools. A few representat... | 2025-12-03T04:45:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pcv0kd/maaza_orchestrator_v12_96m_params_629_on_hard/ | CycleCore_Tech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcv0kd | false | null | t3_1pcv0kd | /r/LocalLLaMA/comments/1pcv0kd/maaza_orchestrator_v12_96m_params_629_on_hard/ | false | false | self | 26 | null |
Q: When will there be fast and competent SLMs for laptops? | 24 | It has been a whole year since Qwen2.5-32B been published for people to self-host their coding models. Similar models for RP probably exists before then, but the ideal of a general purpose portable model is still here. Yet, the news kept showing more techniques!
1. Qwen3-30B-A3B and GPT-OSS-20B both uses Mixture-of-Ex... | 2025-12-03T04:32:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pcurp8/q_when_will_there_be_fast_and_competent_slms_for/ | TomLucidor | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcurp8 | false | null | t3_1pcurp8 | /r/LocalLLaMA/comments/1pcurp8/q_when_will_there_be_fast_and_competent_slms_for/ | false | false | self | 24 | null |
Frontend Debugging Automization(by Playwight MCP) | 7 | Hi, Im Nick Heo. Im now indivisually developing and testing AI layer system to make AI smarter.
I would like to share my experience of using playwright MCP on debugging on my task and ask other peoples experience and want to get other insights.
I usually uses codex cli and claude caude CLIs in VScode(WSL, Ubuntu)
An... | 2025-12-03T04:24:52 | https://v.redd.it/71k9cl1t1x4g1 | Echo_OS | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pcum1s | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/71k9cl1t1x4g1/DASHPlaylist.mpd?a=1767327908%2CMWMxZjM2MjI0YmVmYzg3N2EzMTY3ZjcyMThmMmEwZDc5NDU5YzRmOTM3MWMzMGI1MTQyMTc3YzFiOWRlOTEwNg%3D%3D&v=1&f=sd', 'duration': 17, 'fallback_url': 'https://v.redd.it/71k9cl1t1x4g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pcum1s | /r/LocalLLaMA/comments/1pcum1s/frontend_debugging_automizationby_playwight_mcp/ | false | false | 7 | {'enabled': False, 'images': [{'id': 'ajJzejhwdHMxeDRnMUEKHwum9mRZJrxVBKOf7RytLB8_SKb1Rey1SUpJaTyX', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/ajJzejhwdHMxeDRnMUEKHwum9mRZJrxVBKOf7RytLB8_SKb1Rey1SUpJaTyX.png?width=108&crop=smart&format=pjpg&auto=webp&s=11453632a2228c08e582582cd83ffbe6eb353... | |
I’m a complete beginner interested in large language models, where should I start? | 0 | Hey everyone,
I’m completely new to this, but recently got really interested in large language models (LLMs). I have no idea where to start.
Any tips on:
* Beginner-friendly tutorials or resources
* Important concepts or skills to focus on
* Fun projects to practice with
Thanks a lot! Really looking forward to get... | 2025-12-03T04:04:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pcu7ju/im_a_complete_beginner_interested_in_large/ | AppropriateMonth8784 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcu7ju | false | null | t3_1pcu7ju | /r/LocalLLaMA/comments/1pcu7ju/im_a_complete_beginner_interested_in_large/ | false | false | self | 0 | null |
Open Source Alternative to NotebookLM | 21 | For those of you who aren't familiar with SurfSense, it aims to be the **open-source alternative to NotebookLM, Perplexity, or Glean.**
In short, it's a Highly Customizable AI Research Agent that connects to your personal external sources and Search Engines (SearxNG, Tavily, LinkUp), Slack, Linear, Jira, ClickUp, Conf... | 2025-12-03T03:34:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pctktp/open_source_alternative_to_notebooklm/ | Uiqueblhats | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pctktp | false | null | t3_1pctktp | /r/LocalLLaMA/comments/1pctktp/open_source_alternative_to_notebooklm/ | false | false | self | 21 | {'enabled': False, 'images': [{'id': 'duuvcg4-6SM9l6OgmXv1YAAr9nW12y8EZmp1Jh7bi4c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/duuvcg4-6SM9l6OgmXv1YAAr9nW12y8EZmp1Jh7bi4c.png?width=108&crop=smart&auto=webp&s=2df240c8422d219d40e69cb5a47815fe90021a93', 'width': 108}, {'height': 108, 'url': 'h... |
Running 2016 AMD GPUs (5 x FirePro S7150x2) | 1 | Heya!
Looking for assistance on running LLM's on my old server grade cards. I had no issues running them before, but I recently tried to run them using updated Ubuntu and Text Generation WebUI and it doesn't seem to run.
Was there a major update in the recent years that made these cards incompatible? If so, what can... | 2025-12-03T03:19:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pct9e9/running_2016_amd_gpus_5_x_firepro_s7150x2/ | werlii | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pct9e9 | false | null | t3_1pct9e9 | /r/LocalLLaMA/comments/1pct9e9/running_2016_amd_gpus_5_x_firepro_s7150x2/ | false | false | self | 1 | null |
Next-Gen AI Inference: Intel Xeon Processors Power Vision, NLP, and Recommender Workloads | 0 | 2025-12-03T03:16:42 | https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Next-Gen-AI-Inference-Intel-Xeon-Processors-Power-Vision-NLP-and/post/1728748 | reps_up | community.intel.com | 1970-01-01T00:00:00 | 0 | {} | 1pct7bt | false | null | t3_1pct7bt | /r/LocalLLaMA/comments/1pct7bt/nextgen_ai_inference_intel_xeon_processors_power/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'PRP5JRsKF4edhlWYSN7dgz9Uoe4IahqdU28MpCdgCGM', 'resolutions': [{'height': 42, 'url': 'https://external-preview.redd.it/PRP5JRsKF4edhlWYSN7dgz9Uoe4IahqdU28MpCdgCGM.png?width=108&crop=smart&auto=webp&s=3dae2c7d0b95367e422e7153c0044612e0af98f7', 'width': 108}, {'height': 85, 'url': 'ht... | |
Is anyone else trying to calculate GPU ROI right now? | 1 | [removed] | 2025-12-03T03:05:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pcsyxw/is_anyone_else_trying_to_calculate_gpu_roi_right/ | AdrianUX_AI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcsyxw | false | null | t3_1pcsyxw | /r/LocalLLaMA/comments/1pcsyxw/is_anyone_else_trying_to_calculate_gpu_roi_right/ | false | false | self | 1 | null |
Intels Battlematrix - Disappointing results? | 1 | 2025-12-03T03:01:00 | https://www.storagereview.com/review/intel-arc-pro-b60-battlematrix-preview-192gb-of-vram-for-on-premise-ai | HilLiedTroopsDied | storagereview.com | 1970-01-01T00:00:00 | 0 | {} | 1pcsvde | false | null | t3_1pcsvde | /r/LocalLLaMA/comments/1pcsvde/intels_battlematrix_disappointing_results/ | false | false | default | 1 | null | |
I built a tool to track "Offline" Llama 3 costs vs. GPT-4. (And block API calls when I'm broke). | 1 | 2025-12-03T02:59:50 | https://www.reddit.com/gallery/1pcsuf6 | AdrianUX_AI | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pcsuf6 | false | null | t3_1pcsuf6 | /r/LocalLLaMA/comments/1pcsuf6/i_built_a_tool_to_track_offline_llama_3_costs_vs/ | false | false | 1 | null | ||
Maaza NLM Orchestrator 9.6M: 70% Tool Routing at ~35ms – First <10M Production Orchestrator | 1 | r/LocalLLaMa!
We just shipped maaza-nlm-orchestrator-9.6m – the first <10M parameter model trained for real tool routing.
Key specs:
\- 9.6M params (7-layer transformer, RoPE, SwiGLU)
\- 70% tool selection accuracy (held-out 300 prompts across 36 MCPBodega tools: Doom, Puppeteer, Bitchat, etc.)
\- 74ms avg l... | 2025-12-03T02:42:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pcsgx3/maaza_nlm_orchestrator_96m_70_tool_routing_at/ | CycleCore_Tech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcsgx3 | false | null | t3_1pcsgx3 | /r/LocalLLaMA/comments/1pcsgx3/maaza_nlm_orchestrator_96m_70_tool_routing_at/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'nWvV6WDQKVM1Ola6JrAyq3_LfDVzQqbvgPztlxg_jVU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/nWvV6WDQKVM1Ola6JrAyq3_LfDVzQqbvgPztlxg_jVU.png?width=108&crop=smart&auto=webp&s=6b2252a1d8889933e33d14f2a749af57411c1b01', 'width': 108}, {'height': 116, 'url': 'h... |
I built a tool to track "Offline" Llama 3 costs vs. GPT-4. (And block API calls when I'm broke). | 1 | 2025-12-03T02:41:24 | AdrianUX_AI | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pcsg2h | false | null | t3_1pcsg2h | /r/LocalLLaMA/comments/1pcsg2h/i_built_a_tool_to_track_offline_llama_3_costs_vs/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'cUgQZMMgy1kJoFK5m2TJ7JLtq4LJeGEeqFraroziWfk', 'resolutions': [{'height': 55, 'url': 'https://preview.redd.it/iz7mywicjw4g1.png?width=108&crop=smart&auto=webp&s=83e2cfaea113b625f8919e1e4478344d5b5101da', 'width': 108}, {'height': 111, 'url': 'https://preview.redd.it/iz7mywicjw4g1.png... | |||
LLMs Need Better Executive Function | 1 | Earlier this year a consensus formed that AI needs better continual learning to make the METR chart -> GDPval -> prosperity go up. I’ve come to believe that something even more foundational is missing: better executive function. Effective agents require it. Current models don’t have it. Attention is all you need, but t... | 2025-12-03T02:35:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pcsbti/llms_need_better_executive_function/ | rob_dearborn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcsbti | false | null | t3_1pcsbti | /r/LocalLLaMA/comments/1pcsbti/llms_need_better_executive_function/ | false | false | self | 1 | null |
Has anybody managed to run Deepseek 3.2 locally in vLLM? | 4 | Keep getting
“…CUDA capability sm\_120 is not compatible with the current PyTorch installation (supports sm\_50 … sm\_90).”
From what I've gathered:
DeepSeek-V3.2 uses the new deepseek\_v32 arch with MLA + sparse attention.
vLLM’s DeepSeek-V3.2 recipes rely on FlashMLA / new MLA kernels integrated with DeepGEMM. ... | 2025-12-03T02:27:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pcs5hw/has_anybody_managed_to_run_deepseek_32_locally_in/ | etherd0t | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcs5hw | false | null | t3_1pcs5hw | /r/LocalLLaMA/comments/1pcs5hw/has_anybody_managed_to_run_deepseek_32_locally_in/ | false | false | self | 4 | null |
Is there any language model that's finetuned for text to image prompts? | 6 | Is there any language model that's finetuned for text-to-image prompts?
I mean language models that are able to be concise and not put flourishing touches on the prompt. | 2025-12-03T02:02:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pcrlok/is_there_any_language_model_thats_finetuned_for/ | Formal_Drop526 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcrlok | false | null | t3_1pcrlok | /r/LocalLLaMA/comments/1pcrlok/is_there_any_language_model_thats_finetuned_for/ | false | false | self | 6 | null |
RAG Paper 25.12.01 | 0 | |title|abstract|
|:-|:-|
|[HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment](http://arxiv.org/abs/2512.01659v1)|Legal AI systems powered by retrieval-augmented generation (RAG) face a critical accountability challenge: when an AI assistant cites case law, statutes, or co... | 2025-12-03T01:51:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pcrcnj/rag_paper_251201/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcrcnj | false | null | t3_1pcrcnj | /r/LocalLLaMA/comments/1pcrcnj/rag_paper_251201/ | false | false | self | 0 | null |
apple/starflow · Hugging Face | 33 | STARFlow introduces a novel transformer autoregressive flow architecture that combines the expressiveness of autoregressive models with the efficiency of normalizing flows. The model achieves state-of-the-art results in both text-to-image and text-to-video generation tasks.
STARFlow: Scaling Latent Normalizing Flows f... | 2025-12-03T01:50:16 | https://huggingface.co/apple/starflow | ab2377 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pcrc1j | false | null | t3_1pcrc1j | /r/LocalLLaMA/comments/1pcrc1j/applestarflow_hugging_face/ | false | false | default | 33 | {'enabled': False, 'images': [{'id': '9MKZtuMzr_COQCqOF3P3AvNoeDUxBXmS4TeVDsiZt8c', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9MKZtuMzr_COQCqOF3P3AvNoeDUxBXmS4TeVDsiZt8c.png?width=108&crop=smart&auto=webp&s=d255bbd83f2e7a2c85708abfb4a859877ae10104', 'width': 108}, {'height': 116, 'url': 'h... |
Is a Minisforum UM780 w/32gb ram good enough to run a local llm? | 1 | AMD Ryzen 7 8745H (3.8GHz) Processor
32GB DDR5-5600 RAM
AMD Radeon 780M Integrated Graphics
1TB SSD
2.5GbE LAN, WiFi 6E (802.11ax), Bluetooth 5.3
Windows 11 Pro | 2025-12-03T01:40:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pcr43j/is_a_minisforum_um780_w32gb_ram_good_enough_to/ | ConspiracyParadox | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcr43j | false | null | t3_1pcr43j | /r/LocalLLaMA/comments/1pcr43j/is_a_minisforum_um780_w32gb_ram_good_enough_to/ | false | false | self | 1 | null |
[Hardware Build] 1x RTX 5090 (32GB) + 9950X3D for Headless Rental Node. Air Cooling w/ A/C. Feasible? | 0 | Hi everyone. I've been lurking here for a while and finally decided to build a dedicated AI server to rent out on RunPod or Vast.ai.
The Context:
\* Cooling: I will install a dedicated 24/7 Air Conditioner set to 18°C (64°F) directly blowing at the server.
\* Constraint: Since it's unattended, I am terrified of AI... | 2025-12-03T01:29:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pcqvo3/hardware_build_1x_rtx_5090_32gb_9950x3d_for/ | Random_Project-0001 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcqvo3 | false | null | t3_1pcqvo3 | /r/LocalLLaMA/comments/1pcqvo3/hardware_build_1x_rtx_5090_32gb_9950x3d_for/ | false | false | self | 0 | null |
local memory layer | 0 | I’ve been building a small local-first memory layer for AI coding workflows.
Still early, but useful in my own projects. Happy to share more if anyone's curious. | 2025-12-03T01:18:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pcqmt0/local_memory_layer/ | Training_Isopod3722 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcqmt0 | false | null | t3_1pcqmt0 | /r/LocalLLaMA/comments/1pcqmt0/local_memory_layer/ | false | false | self | 0 | null |
Linggen-local RAG+MCP memory layer | 1 | [removed] | 2025-12-03T01:16:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pcqkyk/linggenlocal_ragmcp_memory_layer/ | Training_Isopod3722 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pcqkyk | false | null | t3_1pcqkyk | /r/LocalLLaMA/comments/1pcqkyk/linggenlocal_ragmcp_memory_layer/ | false | false | self | 1 | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.