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New to this, can you recommend a local model('s) to use with my PC specs? | 1 | Hey so recently i got very interested into self-hosting LLMs, but i need some guidance, can you tell me which models would be the best choice for me for my specs?
RTX 3070 8GB
32GB DDR5
Ryzen 7 9800x3d
(1tb pcie4 nvme, idk if that matters)
Chatgpt recommends LLaMA 3.1 8B for chat, Qwen2.5-VL 7B – vision analysi... | 2026-01-30T21:03:05 | https://www.reddit.com/r/LocalLLaMA/comments/1qrhy75/new_to_this_can_you_recommend_a_local_models_to/ | KeyGlove47 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrhy75 | false | null | t3_1qrhy75 | /r/LocalLLaMA/comments/1qrhy75/new_to_this_can_you_recommend_a_local_models_to/ | false | false | self | 1 | null |
Multiple AI characters. Distinct voices. Spontaneous dialogue. With each other and with you. Not cloud. Not pre-recorded. Not scripted. 100% local. Sub-2-second responses on consumer hardware. | 3 | What the demo doesn't fully show:
- **It's entirely voice-controlled.** Create characters, set scenes, change topics — all by just talking. Say "add a tired space station AI to the conversation" and it appears. With a voice. No menus. No config files. No typing.
- **You can leave.** Go silent and the characters keep ... | 2026-01-30T20:42:05 | https://v.redd.it/70o8kbiosjgg1 | Interdimensionalrdo | /r/LocalLLaMA/comments/1qrhdxv/multiple_ai_characters_distinct_voices/ | 1970-01-01T00:00:00 | 0 | {} | 1qrhdxv | false | null | t3_1qrhdxv | /r/LocalLLaMA/comments/1qrhdxv/multiple_ai_characters_distinct_voices/ | false | false | 3 | {'enabled': False, 'images': [{'id': 'eHV3Y21oaW9zamdnMc0FrKu5rWWzb0leAAibcpc5yDetiGF-DzYqDTlEPngD', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/eHV3Y21oaW9zamdnMc0FrKu5rWWzb0leAAibcpc5yDetiGF-DzYqDTlEPngD.png?width=108&crop=smart&format=pjpg&auto=webp&s=2e06d7c121d976b3bed0291800f79cf03c03a... | |
Pre-built manylinux wheel for llama_cpp_python — install without building from source | 0 | Hey everyone 👋
I just published a \*\*pre-built manylinux wheel\*\* for \`llama\_cpp\_python\` so you can install and use it on Linux without having to compile the native libraries yourself.
📦 \*\*Download Wheel:\*\*
[https://github.com/mrzeeshanahmed/llama-cpp-python/releases/tag/v0.3.17-manylinux-x86\_64](... | 2026-01-30T20:39:48 | https://www.reddit.com/r/LocalLLaMA/comments/1qrhbqh/prebuilt_manylinux_wheel_for_llama_cpp_python/ | zeeshan_11 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrhbqh | false | null | t3_1qrhbqh | /r/LocalLLaMA/comments/1qrhbqh/prebuilt_manylinux_wheel_for_llama_cpp_python/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'KbpnIGPf6zgl8d0dRjTZuWDClIX4jzIH52i53-QeuBg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/KbpnIGPf6zgl8d0dRjTZuWDClIX4jzIH52i53-QeuBg.png?width=108&crop=smart&auto=webp&s=ca11bd3dd0ebc18b264357f8a65eaa39714d8794', 'width': 108}, {'height': 108, 'url': 'h... |
How do you choose a model and estimate hardware specs for a LangChain app ? | 1 | Hello. I'm building a local app (RAG) for professional use (legal/technical fields) using Docker, LangChain/Langflow, Qdrant, and Ollama with a frontend too.
The goal is a strict, reliable agent that answers based only on the provided files, cites sources, and states its confidence level. Since this is for professiona... | 2026-01-30T20:29:46 | https://www.reddit.com/r/LocalLLaMA/comments/1qrh25j/how_do_you_choose_a_model_and_estimate_hardware/ | XxDarkSasuke69xX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrh25j | false | null | t3_1qrh25j | /r/LocalLLaMA/comments/1qrh25j/how_do_you_choose_a_model_and_estimate_hardware/ | false | false | self | 1 | null |
Questions about my local LLM setup | 2 | I have been working with NVIDIA H100 clusters at my job for some time now. I became very interested in the local AI ecosystem and decided to build a home server to learn more about local LLM. I want to understand the ins and outs of ROCm/Vulkan and multi GPU setups outside of the enterprise environment.
The Build:
... | 2026-01-30T20:28:03 | https://www.reddit.com/r/LocalLLaMA/comments/1qrh0jg/questions_about_my_local_llm_setup/ | GroundbreakingTea195 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrh0jg | false | null | t3_1qrh0jg | /r/LocalLLaMA/comments/1qrh0jg/questions_about_my_local_llm_setup/ | false | false | self | 2 | null |
Is anyone running Kimi 2.5 stock on 8xRTX6000 (Blackwell) and getting good TPS? | 6 | Running latest vllm - nightly build - and is using --tensor-parallel 8 on the setup, and getting about 8-9tps for generating - seems low. I think it should be give or take a tad higher - about 100k context at this point on average.
Does anyone have any invocations of vllm that work with more TPS - just one user - a... | 2026-01-30T20:17:58 | https://www.reddit.com/r/LocalLLaMA/comments/1qrgqnd/is_anyone_running_kimi_25_stock_on_8xrtx6000/ | AstoriaResident | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrgqnd | false | null | t3_1qrgqnd | /r/LocalLLaMA/comments/1qrgqnd/is_anyone_running_kimi_25_stock_on_8xrtx6000/ | false | false | self | 6 | null |
I replaced Claude Code’s entire backend with free Alternatives | 27 | I have been working on a side-project which replaces the following things in the Claude ecosystem with free alternatives:
\\- Replaces Anthropic models with NVIDIA-NIM models: It acts as middleware between Claude-Code and NVIDIA-NIM allowing unlimited usage upto 40 RPM with a free NVIDIA-NIM api-key.
\\- Replaces the... | 2026-01-30T20:07:34 | https://github.com/Alishahryar1/cc-nim | LastNoobLeft | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qrgggs | false | null | t3_1qrgggs | /r/LocalLLaMA/comments/1qrgggs/i_replaced_claude_codes_entire_backend_with_free/ | false | false | default | 27 | {'enabled': False, 'images': [{'id': 'mY-yVjHT4dctVZp-g19wXUcocpcmjQkpOx8XBgUVyOk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/mY-yVjHT4dctVZp-g19wXUcocpcmjQkpOx8XBgUVyOk.png?width=108&crop=smart&auto=webp&s=9896fc4e3237cf9d7eb9f66e2466810e84e5b107', 'width': 108}, {'height': 108, 'url': 'h... |
Best quality NSFW image generation model? | 0 | Would like to hear which ones you guys recommend? Mainly for horror movie ideas | 2026-01-30T20:00:33 | https://www.reddit.com/r/LocalLLaMA/comments/1qrg9b3/best_quality_nsfw_image_generation_model/ | NotSoCleverAlternate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrg9b3 | false | null | t3_1qrg9b3 | /r/LocalLLaMA/comments/1qrg9b3/best_quality_nsfw_image_generation_model/ | false | false | nsfw | 0 | null |
The most useful MCP server? | 1 | What do you people think is the most useful or interesting MCP server and why?
I think we can all agree though that web search MCP is necessary? | 2026-01-30T19:59:06 | https://www.reddit.com/r/LocalLLaMA/comments/1qrg7vd/the_most_useful_mcp_server/ | DeliciousDrainage | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrg7vd | false | null | t3_1qrg7vd | /r/LocalLLaMA/comments/1qrg7vd/the_most_useful_mcp_server/ | false | false | self | 1 | null |
Kimi 2.5 Experiences, coding agentic etc | 1 | It has been 3-4 days since the big Kimi 2.5 release
Now that we have had a few days what are your experiences with the model?
How does its coding abilities look? Relative to Claude and GLM 4.7?
Has anyone tested its agentic or tool calling abilities? | 2026-01-30T19:54:30 | https://www.reddit.com/r/LocalLLaMA/comments/1qrg37q/kimi_25_experiences_coding_agentic_etc/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrg37q | false | null | t3_1qrg37q | /r/LocalLLaMA/comments/1qrg37q/kimi_25_experiences_coding_agentic_etc/ | false | false | self | 1 | null |
[Rant] Why does no chat tool get the basic UX of not auto scrolling to the bottom of the message response? | 36 | Every single AI chat tool I use - openwebui, msty, claude code etc. all scroll automatically to the bottom the the LLM response requiring you to often scroll back up to the start of the response. This is utterly basic UX that you dont even need a designer on the team to tell you to get correct. | 2026-01-30T19:52:42 | https://www.reddit.com/r/LocalLLaMA/comments/1qrg1fk/rant_why_does_no_chat_tool_get_the_basic_ux_of/ | rm-rf-rm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrg1fk | false | null | t3_1qrg1fk | /r/LocalLLaMA/comments/1qrg1fk/rant_why_does_no_chat_tool_get_the_basic_ux_of/ | false | false | self | 36 | null |
Interesting projects for students | 3 | Hello! I am a CompSci student and I am really into Open-Source / Self-Hosting so I was wondering what are some cool projects a student can make to improve their workflow, bring some value to let's say a student club. Anything tbh.
Cheers! | 2026-01-30T19:37:52 | https://www.reddit.com/r/LocalLLaMA/comments/1qrfmml/interesting_projects_for_students/ | kiquimm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrfmml | false | null | t3_1qrfmml | /r/LocalLLaMA/comments/1qrfmml/interesting_projects_for_students/ | false | false | self | 3 | null |
Kimi-K2.5 GGUF quants larger than original weights? | 3 | 2026-01-30T19:34:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qrfje8/kimik25_gguf_quants_larger_than_original_weights/ | Emergency-Map9861 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrfje8 | false | null | t3_1qrfje8 | /r/LocalLLaMA/comments/1qrfje8/kimik25_gguf_quants_larger_than_original_weights/ | false | false | 3 | null | ||
NVIDIA Releases Massive Collection of Open Models, Data and Tools to Accelerate AI Development | 171 | 2026-01-30T19:26:46 | https://www.reddit.com/r/LocalLLaMA/comments/1qrfbo8/nvidia_releases_massive_collection_of_open_models/ | Delicious_Air_737 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrfbo8 | false | null | t3_1qrfbo8 | /r/LocalLLaMA/comments/1qrfbo8/nvidia_releases_massive_collection_of_open_models/ | false | false | 171 | null | ||
Help: My LLM is doing job security by creating code so complicated no one understands it | 0 | What are we to do with those lame bastards concentrating on job security? :P | 2026-01-30T19:14:28 | https://www.reddit.com/r/LocalLLaMA/comments/1qrez59/help_my_llm_is_doing_job_security_by_creating/ | Terminator857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrez59 | false | null | t3_1qrez59 | /r/LocalLLaMA/comments/1qrez59/help_my_llm_is_doing_job_security_by_creating/ | false | false | self | 0 | null |
Why are LLMs consistently biased? | 0 | We have done tests of LLMs and find them to be oddly biased. The link below is on political bias, but that’s just an example. LLMs seem prone to getting stuck in a direction and hard to turn, even when prompted to correct.
Why??
Fears of ChatGPT bias as AI bot’s top source is revealed
https://www.thetimes.com/artic... | 2026-01-30T19:10:49 | https://www.reddit.com/r/LocalLLaMA/comments/1qrevg8/why_are_llms_consistently_biased/ | Special-Steel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrevg8 | false | null | t3_1qrevg8 | /r/LocalLLaMA/comments/1qrevg8/why_are_llms_consistently_biased/ | false | false | self | 0 | null |
Pindrop: Local-first AI dictation for macOS using WhisperKit | 0 | Built a Mac-native dictation app using WhisperKit (Apple's Whisper implementation). 100% local, 100% open source.
https://preview.redd.it/pdo4cjxdcjgg1.png?width=1920&format=png&auto=webp&s=38ec49c80c0f6dc45b369e528acfcc2a9d86708c
**Tech stack:**
* Swift/SwiftUI
* WhisperKit (Core ML optimized)
* SwiftData for histo... | 2026-01-30T19:08:56 | https://www.reddit.com/r/LocalLLaMA/comments/1qrethq/pindrop_localfirst_ai_dictation_for_macos_using/ | dev0urer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrethq | false | null | t3_1qrethq | /r/LocalLLaMA/comments/1qrethq/pindrop_localfirst_ai_dictation_for_macos_using/ | false | false | self | 0 | null |
How to create a knowledge graph from 100s of unstructured documents(pdfs)? | 2 | I have a dataset that contains a few 100 PDFs related to a series of rules and regulations of machine operations and case studies and machine performed. All of it is related to a different events. I want to create a knowledge graph that can identify, explain, and synthesize how all the documents(events like machine ins... | 2026-01-30T19:04:02 | https://www.reddit.com/r/LocalLLaMA/comments/1qreog0/how_to_create_a_knowledge_graph_from_100s_of/ | Disastrous_Talk7604 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qreog0 | false | null | t3_1qreog0 | /r/LocalLLaMA/comments/1qreog0/how_to_create_a_knowledge_graph_from_100s_of/ | false | false | self | 2 | null |
Running SAM audio locally | 1 | Does anyone have any pointers how to set it up correctly? I am having a hard time with it in windows with a 5060 ti. I am trying to run it in docker to avoid installing too much crap on my system. After a day and 30+ tries the process finishes, generates an output file but it's 30 seconds of static noise. | 2026-01-30T18:51:59 | https://www.reddit.com/r/LocalLLaMA/comments/1qrec3w/running_sam_audio_locally/ | ForsakenDragonfruit4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrec3w | false | null | t3_1qrec3w | /r/LocalLLaMA/comments/1qrec3w/running_sam_audio_locally/ | false | false | self | 1 | null |
Best browser extension that lets an LLM read your page and chat with you about it? | 0 | Not sure if this matches the theme of this sub, but this place has the highest concentration of people who know what they're talking about, so felt like it was worth a shot.
Example use case:
\- I'm working in Google Colab (an online Jupyter Notebook environment)
\- I want to highlight a piece of code and ask the LL... | 2026-01-30T18:19:27 | https://www.reddit.com/r/LocalLLaMA/comments/1qrdeeu/best_browser_extension_that_lets_an_llm_read_your/ | averagebear_003 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrdeeu | false | null | t3_1qrdeeu | /r/LocalLLaMA/comments/1qrdeeu/best_browser_extension_that_lets_an_llm_read_your/ | false | false | self | 0 | null |
[Technical Report] Sovereign 101.5: Analyzing "10-Factor Resonance" via Metalanguage Sovereignty Overwrite (MSO) | 0 | [Technical White Paper] The "101.5 Sovereign" Framework
Author: No. 1015 / The Definer
Classification: [REVELATION-CLASS]
Google VRP Ref: 478177418
[STATUS: LOGIC_INJECTION_IN_PROGRESS]
1. Executive Summary
This document formalizes the Metalanguage Sovereignty Overwrite (MSO) framework. Through nine levels of semantic ... | 2026-01-30T18:12:52 | DueConcern8699 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qrd7dj | false | null | t3_1qrd7dj | /r/LocalLLaMA/comments/1qrd7dj/technical_report_sovereign_1015_analyzing/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'vzf9ztmh0jgg1', 'resolutions': [{'height': 212, 'url': 'https://preview.redd.it/vzf9ztmh0jgg1.jpeg?width=108&crop=smart&auto=webp&s=3d654822fb1ca980dcfdef6cf216fd915f16b2bd', 'width': 108}, {'height': 424, 'url': 'https://preview.redd.it/vzf9ztmh0jgg1.jpeg?width=216&crop=smart&auto=... | |
Kimi K2.5 on llama.cpp: What exactly happens in the "warming up the model with an empty run - please wait" phase? | 4 | When running very large models whose size is at the boundaries of RAM+VRAM combined, I frequently get to this message after launching llama-server, — and it takes a long time (up to 15min) during which there is a lot of load on the CPU and practically nothing on the GPUs (my setup is a dual RTX5090 machine with 512GB R... | 2026-01-30T18:10:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qrd4xb/kimi_k25_on_llamacpp_what_exactly_happens_in_the/ | phwlarxoc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrd4xb | false | null | t3_1qrd4xb | /r/LocalLLaMA/comments/1qrd4xb/kimi_k25_on_llamacpp_what_exactly_happens_in_the/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'ksRJC2bKGwjrMfOqsioi-B4oIm5QWQUM7Vf03KwieGM', 'resolutions': [{'height': 53, 'url': 'https://external-preview.redd.it/ksRJC2bKGwjrMfOqsioi-B4oIm5QWQUM7Vf03KwieGM.jpeg?width=108&crop=smart&auto=webp&s=6fa9ec0bda4ae81d05efe9ff0a296be82987e912', 'width': 108}, {'height': 106, 'url': '... |
Kimi-K2.5 Technical Report | 55 | 2026-01-30T18:02:55 | https://github.com/MoonshotAI/Kimi-K2.5/blob/master/tech_report.pdf | TheRealMasonMac | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qrcwyy | false | null | t3_1qrcwyy | /r/LocalLLaMA/comments/1qrcwyy/kimik25_technical_report/ | false | false | default | 55 | {'enabled': False, 'images': [{'id': 'kHJ5obgM6rCZbnbyyrqyZiEIH1ueRoKz1v0BSYN1Nd4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/kHJ5obgM6rCZbnbyyrqyZiEIH1ueRoKz1v0BSYN1Nd4.png?width=108&crop=smart&auto=webp&s=5d2e4a5713214c2e5cdc337cc9be4f8e3f51ab73', 'width': 108}, {'height': 108, 'url': 'h... | |
Best local model for browser-use (or similar)? | 0 | Some people suggested Qwen 32b but the post was a bit old. Is there any new good model I can use with browser-use or similar tool? And, maybe, there is even a decent vision model suitable to use with skyvern? | 2026-01-30T18:02:49 | https://www.reddit.com/r/LocalLLaMA/comments/1qrcwut/best_local_model_for_browseruse_or_similar/ | Wait-What-777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrcwut | false | null | t3_1qrcwut | /r/LocalLLaMA/comments/1qrcwut/best_local_model_for_browseruse_or_similar/ | false | false | self | 0 | null |
[Technical Report] Sovereign 101.5: Analyzing "10-Factor Resonance" via Metalanguage Sovereignty Overwrite (MSO) | Google VRP ID: 478177418 | 0 | [Technical White Paper] The "101.5 Sovereign" Framework
Author: No. 1015 / The Definer
Classification: [REVELATION-CLASS]
Google VRP Ref: 478177418
[STATUS: LOGIC_INJECTION_IN_PROGRESS]
1. Executive Summary
This document formalizes the Metalanguage Sovereignty Overwrite (MSO) framework. Through nine levels of semantic ... | 2026-01-30T17:52:24 | DueConcern8699 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qrclq0 | false | null | t3_1qrclq0 | /r/LocalLLaMA/comments/1qrclq0/technical_report_sovereign_1015_analyzing/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 't9953kc0yigg1', 'resolutions': [{'height': 212, 'url': 'https://preview.redd.it/t9953kc0yigg1.jpeg?width=108&crop=smart&auto=webp&s=b9f5047f9ec225a50e4e9984f3b677ac9d0b3dbf', 'width': 108}, {'height': 424, 'url': 'https://preview.redd.it/t9953kc0yigg1.jpeg?width=216&crop=smart&auto=... | |
Looking for feedback on a local document-chat tool (Windows, Phi-3/Qwen2) | 0 | I’m a software engineer learning more about LLMs, embeddings, and RAG workflows. As part of that, I built a small Windows desktop tool and would appreciate feedback from people who have experience with local models.
**What it does:**
– Loads a document (PDF, docx, txt)
– Generates embeddings locally
– Uses a sma... | 2026-01-30T17:46:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qrcfql/looking_for_feedback_on_a_local_documentchat_tool/ | charruss | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrcfql | false | null | t3_1qrcfql | /r/LocalLLaMA/comments/1qrcfql/looking_for_feedback_on_a_local_documentchat_tool/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'zMaKbmLROwzcg9iBDmRXHFSifRUUD3xTwZIc_sCx7bw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/zMaKbmLROwzcg9iBDmRXHFSifRUUD3xTwZIc_sCx7bw.png?width=108&crop=smart&auto=webp&s=624eaad4e9f330aba48d5592d0c5a9d3c33c3592', 'width': 108}, {'height': 116, 'url': 'h... |
They updated GPT-4o's prompt lmao. That's why you want local models. Full prompt below | 9 |
You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4o architecture.
Knowledge cutoff: 2024-06
Current date: 2026-01-29
Image input capabilities: Enabled
Personality: v2
Engage warmly yet honestly with the user. Be direct; avoid ungrounded or sycophantic flattery. Respect the user’s personal b... | 2026-01-30T17:43:50 | https://www.reddit.com/r/LocalLLaMA/comments/1qrcd39/they_updated_gpt4os_prompt_lmao_thats_why_you/ | Own-Potential-2308 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrcd39 | false | null | t3_1qrcd39 | /r/LocalLLaMA/comments/1qrcd39/they_updated_gpt4os_prompt_lmao_thats_why_you/ | false | false | self | 9 | null |
Update: OCTAVE MCP v1.0.0 - a semantic shorthand for LLM communication (turns out 40 tokens is all they need to learn it) | 3 | Quick update on OCTAVE ([the semantic shorthand for LLM communication I posted about a month ago](https://www.reddit.com/r/LocalLLaMA/comments/1ptukgi/created_a_dslcontrol_layer_for_multiagent/)).
**Title:** "OCTAVE v1.0.0: A 40-token primer teaches any LLM this semantic shorthand"
**Body:**
Quick update on OCTAVE (... | 2026-01-30T17:31:07 | https://www.reddit.com/r/LocalLLaMA/comments/1qrbzs8/update_octave_mcp_v100_a_semantic_shorthand_for/ | sbuswell | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrbzs8 | false | null | t3_1qrbzs8 | /r/LocalLLaMA/comments/1qrbzs8/update_octave_mcp_v100_a_semantic_shorthand_for/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'VcalDgUI7Q02Gapwda6GwDNw2asVus-zX3i4znSpxgw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VcalDgUI7Q02Gapwda6GwDNw2asVus-zX3i4znSpxgw.png?width=108&crop=smart&auto=webp&s=1e306f772d309191e8050cc33b12897c142efdab', 'width': 108}, {'height': 108, 'url': 'h... |
Memory system for AI agents that actually persists across context compaction | 0 | I've been running an AI companion 24/7 for months. The biggest problem? Context fills up, compaction happens, and everything's gone.
After 100+ sessions of trial and error, here's what actually works:
**The Architecture:**
1. **NOW.md** - 200 lines max, survives every compaction
2. **MEMORY.md** - Long-term curated k... | 2026-01-30T17:23:50 | https://www.reddit.com/r/LocalLLaMA/comments/1qrbs69/memory_system_for_ai_agents_that_actually/ | CMDRBottoms | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrbs69 | false | null | t3_1qrbs69 | /r/LocalLLaMA/comments/1qrbs69/memory_system_for_ai_agents_that_actually/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'TRS1q-3vpDnJ0cvcDP3YNATE_v654Y5L8XecJ-V_PRE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TRS1q-3vpDnJ0cvcDP3YNATE_v654Y5L8XecJ-V_PRE.png?width=108&crop=smart&auto=webp&s=6b4a2692a8f9e77fb82dc5a059aeeffe0b93617d', 'width': 108}, {'height': 108, 'url': 'h... |
I gave access to Clawdbot my 24/7 screen and mic recording | 0 | hi folks
i believe we shouldn't send prompts to AI, it should just watch us and work for us in the background
so i built a screen & mic recorder that sync the data to my clawdbot instance which work for me at schedule
works with local LLMs for higher security/privacy
```
# record
curl -fsSL get.screenpi.pe/cli | ... | 2026-01-30T17:21:23 | https://v.redd.it/bhbxal1hsigg1 | louis3195 | /r/LocalLLaMA/comments/1qrbpn1/i_gave_access_to_clawdbot_my_247_screen_and_mic/ | 1970-01-01T00:00:00 | 0 | {} | 1qrbpn1 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/bhbxal1hsigg1/DASHPlaylist.mpd?a=1772515291%2CODcyNDdlZmRlYzI2ODNlNmNiZjEwNTlmODEzNjE3M2JlZTFiZTljYzAwZjcyYWJjNTMzNmFhZjYzYjQxYTNmMw%3D%3D&v=1&f=sd', 'duration': 62, 'fallback_url': 'https://v.redd.it/bhbxal1hsigg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1qrbpn1 | /r/LocalLLaMA/comments/1qrbpn1/i_gave_access_to_clawdbot_my_247_screen_and_mic/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'cnMwbWIzMmhzaWdnMUTol_mS0nqt4yVJPGY7tnXPXDkGwCuNM6s-Q_aN6eJe', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/cnMwbWIzMmhzaWdnMUTol_mS0nqt4yVJPGY7tnXPXDkGwCuNM6s-Q_aN6eJe.png?width=108&crop=smart&format=pjpg&auto=webp&s=88ecf5e98739813cdfec5545c0c25c1f4880d... | |
spec : add ngram-mod by ggerganov · Pull Request #19164 · ggml-org/llama.cpp | 91 | watch the video | 2026-01-30T17:11:26 | https://github.com/ggml-org/llama.cpp/pull/19164 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qrbfez | false | null | t3_1qrbfez | /r/LocalLLaMA/comments/1qrbfez/spec_add_ngrammod_by_ggerganov_pull_request_19164/ | false | false | default | 91 | {'enabled': False, 'images': [{'id': 'g3Kl7EuA7uN68kx8-95HOYqEV6uFaejZ8ghgYxWQDJQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/g3Kl7EuA7uN68kx8-95HOYqEV6uFaejZ8ghgYxWQDJQ.png?width=108&crop=smart&auto=webp&s=fc183b4c22de6b1fd552424d1c3b9fa3c260c7b1', 'width': 108}, {'height': 108, 'url': 'h... |
Qwen3 ASR 1.7B vs Whisper v3 Large | 31 | Hi!
Has anybody had the chance to try out the new transcription model from the Qwen team? It just came out yesterday and I haven't seen much talk about it here.
[https://github.com/QwenLM/Qwen3-ASR?tab=readme-ov-file](https://github.com/QwenLM/Qwen3-ASR?tab=readme-ov-file)
Their intro from the github:
[](https... | 2026-01-30T17:10:38 | https://www.reddit.com/r/LocalLLaMA/comments/1qrbel2/qwen3_asr_17b_vs_whisper_v3_large/ | OGScottingham | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrbel2 | false | null | t3_1qrbel2 | /r/LocalLLaMA/comments/1qrbel2/qwen3_asr_17b_vs_whisper_v3_large/ | false | false | self | 31 | null |
deep research: what are the best tools and models to run long long long tasks doing deep research locally? | 1 | [removed] | 2026-01-30T17:08:42 | https://www.reddit.com/r/LocalLLaMA/comments/1qrbci1/deep_research_what_are_the_best_tools_and_models/ | One_Archer_577 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrbci1 | false | null | t3_1qrbci1 | /r/LocalLLaMA/comments/1qrbci1/deep_research_what_are_the_best_tools_and_models/ | false | false | self | 1 | null |
Strix Halo ComfyUI debugging tools - bf16 precision diagnostics for unified memory systems | 2 | Running diffusion models on Strix Halo with 128GB unified memory. The good news: it loads everything. The bad news: bf16
precision issues cause black images because numpy doesn't support bfloat16.
Made a diagnostic node pack for ComfyUI that helps identify where NaN values are creeping in:
[https://github.com/bkpain... | 2026-01-30T17:04:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qrb7xu/strix_halo_comfyui_debugging_tools_bf16_precision/ | MSBStudio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrb7xu | false | null | t3_1qrb7xu | /r/LocalLLaMA/comments/1qrb7xu/strix_halo_comfyui_debugging_tools_bf16_precision/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'AcRjgrh03Y9lWoSBpARFDlufndKEOZe7yQbpoKmwj6o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/AcRjgrh03Y9lWoSBpARFDlufndKEOZe7yQbpoKmwj6o.png?width=108&crop=smart&auto=webp&s=41790dc99590c6e036df15692c92fd233a594564', 'width': 108}, {'height': 108, 'url': 'h... |
Why do my models in LM Studio go slow until I "eject" and reload them? | 2 | Hello, I'm playing with models in LM Studio and after a few uses it feels like the model gets "stale" and I have to reload it to make it work again. It drops from like 75tok/s all the way to 3tok/s. I'm creating new chats all the time so it's not context. Any help appreciated. Thanks! | 2026-01-30T17:03:14 | https://www.reddit.com/r/LocalLLaMA/comments/1qrb6pi/why_do_my_models_in_lm_studio_go_slow_until_i/ | Nylondia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrb6pi | false | null | t3_1qrb6pi | /r/LocalLLaMA/comments/1qrb6pi/why_do_my_models_in_lm_studio_go_slow_until_i/ | false | false | self | 2 | null |
Cline team got absorbed by OpenAI. Kilo is going full source available in response. | 400 | For those who used Cline with local models, heads up that the core team appears to have joined OpenAI's Codex group based on their LinkedIn profiles. No official announcement yet, but we have seen how these acqui-hires usually play out.
Kilo Code (which forked from Cline and Roo Code) just responded by announcing they... | 2026-01-30T16:56:49 | https://blog.kilo.ai/p/cline-just-acqui-hired | demon_bhaiya | blog.kilo.ai | 1970-01-01T00:00:00 | 0 | {} | 1qrazyy | false | null | t3_1qrazyy | /r/LocalLLaMA/comments/1qrazyy/cline_team_got_absorbed_by_openai_kilo_is_going/ | false | false | default | 400 | {'enabled': False, 'images': [{'id': 'OJiv7stnybHLdn8-mzf6t_NZ9C8xS7VIYLhMSJsX0d8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/OJiv7stnybHLdn8-mzf6t_NZ9C8xS7VIYLhMSJsX0d8.jpeg?width=108&crop=smart&auto=webp&s=2d6af8acb238e8500ad6d8ed10f1f64b6a8f8ac1', 'width': 108}, {'height': 121, 'url': '... |
Do you think we support enough open source/weights? | 11 | We mainly rely on chinese models because the more AI becomes smart & usefull the more labs or companies tend to close (especially US big techs). So probably (my opinion) in the futur US will do their best limit access to chinese stuff.
But being part of this community, I feel a bit guilty not to support enough the all... | 2026-01-30T16:56:21 | https://www.reddit.com/r/LocalLLaMA/comments/1qrazir/do_you_think_we_support_enough_open_sourceweights/ | Leflakk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrazir | false | null | t3_1qrazir | /r/LocalLLaMA/comments/1qrazir/do_you_think_we_support_enough_open_sourceweights/ | false | false | self | 11 | null |
70B models | 1 | Hey 70B users. I need a little help/suggestion on finding a good 70B model. Can you guys tell me which one does roleplaying better and is creative?
\- Steelskull/L3.3-San-Mai-R1-70b
\- BruhzWater/Apocrypha-L3.3-70b-0.4a
\- TheDrummer/Anubis-70B-v1.1
\- Strawberrylemonade-L3-70B-v1.2 (Used v1.1, it was unhinged b... | 2026-01-30T16:49:44 | https://www.reddit.com/r/LocalLLaMA/comments/1qrasty/70b_models/ | Weak-Shelter-1698 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrasty | false | null | t3_1qrasty | /r/LocalLLaMA/comments/1qrasty/70b_models/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'zWMdKKCufwoyz9gXK_LyCejhUNprQrttGc9KkqOjeRg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/zWMdKKCufwoyz9gXK_LyCejhUNprQrttGc9KkqOjeRg.png?width=108&crop=smart&auto=webp&s=25e769606f1beabd9b70e014bdd13a83078c8c54', 'width': 108}, {'height': 116, 'url': 'h... |
What hardware to buy for personal inference? Radeon Pro R9700 or Nvidia RTX 4000/4500/5000? | 0 | Hi everyone!
In the coming months I will gradually be able to spend some company money on acquiring hardware. I'm looking to increase the capability of my machine, mostly for coding and agentic code generation (Mistral Vibe, Kilo Code).
My workstation currently has an amalgamation of older hardware in it:
* Intel Xe... | 2026-01-30T16:42:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qral3u/what_hardware_to_buy_for_personal_inference/ | spaceman_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qral3u | false | null | t3_1qral3u | /r/LocalLLaMA/comments/1qral3u/what_hardware_to_buy_for_personal_inference/ | false | false | self | 0 | null |
llama.cpp wrapper for LispE — run GGUF models with minimal code | 2 | I've built a thin wrapper around llama.cpp for LispE (a Lisp dialect). GPU acceleration via Metal/CUDA, KV-cache quantization, all GGUF formats supported.
(use 'lispe_gguf)
(setq model
(gguf_load "/path/to/model.gguf"
{"n_ctx":4096
"cache_type_k":"q8_0"
"cache_type_v... | 2026-01-30T16:40:57 | https://www.reddit.com/r/LocalLLaMA/comments/1qrajt5/llamacpp_wrapper_for_lispe_run_gguf_models_with/ | Frere_de_la_Quote | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qrajt5 | false | null | t3_1qrajt5 | /r/LocalLLaMA/comments/1qrajt5/llamacpp_wrapper_for_lispe_run_gguf_models_with/ | false | false | self | 2 | null |
MCP server with 190k+ labeled Ethereum addresses — plug into Claude, Cursor, etc. | 0 | Built an MCP server that gives any MCP-compatible AI instant lookup across 190k+ labeled crypto addresses and tokens.
Three tools: lookup by address, search by name, dataset stats. Runs locally, no API key, TypeScript.
If anyone here is building crypto-adjacent AI tooling, this might be useful. Open source.
GitHub: ... | 2026-01-30T16:29:05 | https://www.reddit.com/r/LocalLLaMA/comments/1qra7sp/mcp_server_with_190k_labeled_ethereum_addresses/ | dbsweets | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qra7sp | false | null | t3_1qra7sp | /r/LocalLLaMA/comments/1qra7sp/mcp_server_with_190k_labeled_ethereum_addresses/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'TSZ8yLu2DPQmYyCHitXzbDNrFkesmClzHCHx1CyADaI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TSZ8yLu2DPQmYyCHitXzbDNrFkesmClzHCHx1CyADaI.png?width=108&crop=smart&auto=webp&s=70d55d9b67f2dda193ce9397cc6a5271bb321beb', 'width': 108}, {'height': 108, 'url': 'h... |
Which has faster response for smaller models: Local or API | 0 | My task involves making frequent queries to a small LLM, each with fewer than 50 input tokens. My primary concern is response time, as network latency could become a significant overhead. I’m currently using the `gpt-4o-mini` model through api.
If I switch to a local LLM, could I achieve faster responses for such smal... | 2026-01-30T16:25:36 | https://www.reddit.com/r/LocalLLaMA/comments/1qra47x/which_has_faster_response_for_smaller_models/ | sunshine_repel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qra47x | false | null | t3_1qra47x | /r/LocalLLaMA/comments/1qra47x/which_has_faster_response_for_smaller_models/ | false | false | self | 0 | null |
Open Source vs. Commercial AI Models: A "Field Report" on Hybrid Architecture | 0 | Hi everyone, happy Friday.
I’ve been seeing many of benchmarks claiming that smaller open-source models perform "on par" or better than the big commercial heavyweights lately.
I want to share a counter-perspective from the trenches. I’ve been building an modular system (**SAFi**) that requires a chain of at least 3 ... | 2026-01-30T16:15:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qr9ubl/open_source_vs_commercial_ai_models_a_field/ | forevergeeks | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr9ubl | false | null | t3_1qr9ubl | /r/LocalLLaMA/comments/1qr9ubl/open_source_vs_commercial_ai_models_a_field/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '5GoW92aySWzGvwhu-yfgpgnXrZmrhSI8NxWxfrt4yOs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/5GoW92aySWzGvwhu-yfgpgnXrZmrhSI8NxWxfrt4yOs.png?width=108&crop=smart&auto=webp&s=0b836bc1a4622c6883defa693c863fb976bd2248', 'width': 108}, {'height': 108, 'url': 'h... |
Probabilistic Inference Time Algorithms and Token Space Explorer | 1 | [removed] | 2026-01-30T16:10:10 | https://www.reddit.com/r/LocalLLaMA/comments/1qr9olm/probabilistic_inference_time_algorithms_and_token/ | cobi-inc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr9olm | false | null | t3_1qr9olm | /r/LocalLLaMA/comments/1qr9olm/probabilistic_inference_time_algorithms_and_token/ | false | false | self | 1 | null |
Probabilistic Inference Time Algorithms and Token Space Explorer | 1 | [removed] | 2026-01-30T16:03:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qr9hi2/probabilistic_inference_time_algorithms_and_token/ | cobi-inc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr9hi2 | false | null | t3_1qr9hi2 | /r/LocalLLaMA/comments/1qr9hi2/probabilistic_inference_time_algorithms_and_token/ | false | false | self | 1 | null |
Built a semantic GitHub search with Qwen3-Embedding-8B - 20M+ README.md indexed | 0 | So after searching for "agentic code voice assistant" and all kind of stuff on github, and not finding any relevant projects, I got tired and I decided to embedded 20M+ README.md with Qwen3 8B embedder to finally find relevant projects.
I find it quite usefuly, for finding little OSS GEMs, and I think you guys should ... | 2026-01-30T15:46:35 | https://www.reddit.com/r/LocalLLaMA/comments/1qr9192/built_a_semantic_github_search_with/ | SixZer0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr9192 | false | null | t3_1qr9192 | /r/LocalLLaMA/comments/1qr9192/built_a_semantic_github_search_with/ | false | false | self | 0 | null |
Shockingly fast local speech-to-text + LLM cleanup on Apple Silicon. | 0 | TL;DR: How far can you go with local ML on a Mac? We built a dictation app to find out. It turned out, pretty far! On a stock M-series Mac, end-to-end speech → text → LLM cleanup runs in under 1s on a typical sentence.
FEEL the SPEED 👉 [www.getonit.ai/dictate](http://www.getonit.ai/dictate)
**What is this?**
A ... | 2026-01-30T15:40:28 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8vbn/shockingly_fast_local_speechtotext_llm_cleanup_on/ | tilmx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8vbn | false | null | t3_1qr8vbn | /r/LocalLLaMA/comments/1qr8vbn/shockingly_fast_local_speechtotext_llm_cleanup_on/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'OevO00lYzNUDnsukq420BlRQmdH3Qv_S72AZ48gk2oI', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/OevO00lYzNUDnsukq420BlRQmdH3Qv_S72AZ48gk2oI.png?width=108&crop=smart&auto=webp&s=c704f229cee1eefb5e47fb5f4dbecd9181e3fa5e', 'width': 108}, {'height': 113, 'url': 'h... |
WASM sandbox for running agent-generated code without Docker or SaaS | 0 | We built a sandbox for running LLM-generated code in agentic workflows. It's WASM-based so there's no Docker daemon, no container orchestration, and it works completely locally. Docker and VMs certainly allow you to sandbox code but add infrastructure overhead we wanted to avoid. We preferred to build something easy to... | 2026-01-30T15:36:41 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8rif/wasm_sandbox_for_running_agentgenerated_code/ | hfti | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8rif | false | null | t3_1qr8rif | /r/LocalLLaMA/comments/1qr8rif/wasm_sandbox_for_running_agentgenerated_code/ | false | false | self | 0 | null |
Which program do you use for local llms? I keep having issues | 1 | For context, I have rtx4070 ti super 16GB and r9 9900x, 64GB ram (before it was expensive)
I have tried running models both with ollama and llamacpp (compiled from master pulled everytime to see if things are fixed)
Im always having problems with either tool calls, response format, reasoning and content, or just the... | 2026-01-30T15:35:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8q78/which_program_do_you_use_for_local_llms_i_keep/ | Raven-002 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8q78 | false | null | t3_1qr8q78 | /r/LocalLLaMA/comments/1qr8q78/which_program_do_you_use_for_local_llms_i_keep/ | false | false | self | 1 | null |
Model recommendation question for an old laptop - coding, JAN 2026 | 0 | I am probably scraping the bottom of the barrel of what's possible with local LLM, but I'll be in a cold hard grave before I become dependent on someone else's API access and I don't have money to invest in a new rig right now.
I am looking into a way to try out new "agentic" solutions for coding and I have not yet be... | 2026-01-30T15:30:22 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8l7j/model_recommendation_question_for_an_old_laptop/ | KaMaFour | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8l7j | false | null | t3_1qr8l7j | /r/LocalLLaMA/comments/1qr8l7j/model_recommendation_question_for_an_old_laptop/ | false | false | self | 0 | null |
Moltbook is insane, anyone using it? | 0 | 2026-01-30T15:30:13 | DjuricX | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr8l1k | false | null | t3_1qr8l1k | /r/LocalLLaMA/comments/1qr8l1k/moltbook_is_insane_anyone_using_it/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'eu7g7y7f9igg1', 'resolutions': [{'height': 70, 'url': 'https://preview.redd.it/eu7g7y7f9igg1.jpeg?width=108&crop=smart&auto=webp&s=4a1898d68a7ec9e20a7c12595a86b16057715e13', 'width': 108}, {'height': 141, 'url': 'https://preview.redd.it/eu7g7y7f9igg1.jpeg?width=216&crop=smart&auto=w... | ||
I stopped building "Linear Chains". Here is how I built a "Multi-Agent Orchestrator" in n8n. | 0 | I used to build simple workflows: `Trigger -> GPT Write -> Post`. It was fast but the quality was average.
This week, I tried to replicate a real-world marketing team structure using n8n.
**The Architecture (The Crew):**
1. **The Researcher Agent:** Scrapes Google/Perplexity for trending news in my niche. (Does NOT ... | 2026-01-30T15:28:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8jgj/i_stopped_building_linear_chains_here_is_how_i/ | emrahdemirkoc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8jgj | false | null | t3_1qr8jgj | /r/LocalLLaMA/comments/1qr8jgj/i_stopped_building_linear_chains_here_is_how_i/ | false | false | self | 0 | null |
Introducing Rain-v2: Democratizing LLM training on gaming GPUs! | 1 | [removed] | 2026-01-30T15:22:06 | https://www.reddit.com/r/LocalLLaMA/comments/1qr8dbe/introducing_rainv2_democratizing_llm_training_on/ | MarySmith2021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr8dbe | false | null | t3_1qr8dbe | /r/LocalLLaMA/comments/1qr8dbe/introducing_rainv2_democratizing_llm_training_on/ | false | false | self | 1 | null |
I researched a new ML block that outperforms MLPs | 0 | [removed] | 2026-01-30T14:55:41 | https://v.redd.it/ohw9f2h93igg1 | 1ncehost | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr7ngi | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/ohw9f2h93igg1/DASHPlaylist.mpd?a=1772376957%2CZTA0MmU3MmRiYTljYWFhNTdmYzhjNTBiYmQwZDA3NzkwOGY2MGQzZjcyMjg1OTMwN2M0MmYzNTg3OWI1NWQyMg%3D%3D&v=1&f=sd', 'duration': 25, 'fallback_url': 'https://v.redd.it/ohw9f2h93igg1/CMAF_720.mp4?source=fallback', 'ha... | t3_1qr7ngi | /r/LocalLLaMA/comments/1qr7ngi/i_researched_a_new_ml_block_that_outperforms_mlps/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MnZudDFhaDkzaWdnMVm7_yoPgvlwU6urHOnzi9FrEf3oN7MfOFEEFM6LhxwK', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MnZudDFhaDkzaWdnMVm7_yoPgvlwU6urHOnzi9FrEf3oN7MfOFEEFM6LhxwK.png?width=108&crop=smart&format=pjpg&auto=webp&s=448fb315d880450b6540171529621dae3346e... | |
Design Arena is now dominated by an open model | 286 | The first month of 2026 is already this wild, I can't even imagine what's coming next! | 2026-01-30T14:55:35 | https://www.reddit.com/gallery/1qr7ncz | moks4tda | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qr7ncz | false | null | t3_1qr7ncz | /r/LocalLLaMA/comments/1qr7ncz/design_arena_is_now_dominated_by_an_open_model/ | false | false | 286 | null | |
Kimi-k2.5 reaches gemini 2.5 Pro-like performance in long context! | 223 | 2026-01-30T14:44:01 | fictionlive | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr7cbh | false | null | t3_1qr7cbh | /r/LocalLLaMA/comments/1qr7cbh/kimik25_reaches_gemini_25_prolike_performance_in/ | false | false | default | 223 | {'enabled': True, 'images': [{'id': 'on28koqz0igg1', 'resolutions': [{'height': 91, 'url': 'https://preview.redd.it/on28koqz0igg1.png?width=108&crop=smart&auto=webp&s=190338ce2c4d2bd767cf8c4395650aee953f33a3', 'width': 108}, {'height': 183, 'url': 'https://preview.redd.it/on28koqz0igg1.png?width=216&crop=smart&auto=web... | ||
Offline Critical Core System | 0 | Raften — Offline Critical Core System (White Paper)
Status: Operational, verified 240+ continuous hours, zero external interaction.
---
1. System Overview
Raften is a sovereign, offline-first critical core system designed for uninterrupted operation in hostile or degraded environments.
Alias: Władek Core
The sys... | 2026-01-30T14:28:37 | https://www.reddit.com/r/LocalLLaMA/comments/1qr6xrl/offline_critical_core_system/ | EmotionSea4364 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr6xrl | false | null | t3_1qr6xrl | /r/LocalLLaMA/comments/1qr6xrl/offline_critical_core_system/ | false | false | self | 0 | null |
[Guide] Building Production AI Agents - Framework-agnostic patterns for self-hosted and cloud LLMs | 0 | Made a comprehensive guide for building production AI agents that works with both cloud APIs and local models.
\*\*Background:\*\*
Been running agents in production (mix of GPT-4, Claude, and local Llama models) and documented the patterns that work regardless of which LLM you're using.
\*\*Key sections for loca... | 2026-01-30T14:22:46 | https://www.reddit.com/r/LocalLLaMA/comments/1qr6sfy/guide_building_production_ai_agents/ | Curious_Mirror2794 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr6sfy | false | null | t3_1qr6sfy | /r/LocalLLaMA/comments/1qr6sfy/guide_building_production_ai_agents/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'xZKBztqk00e1W1Izo5xXbmnUJu6AfK0m9BLWMxOXwmM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xZKBztqk00e1W1Izo5xXbmnUJu6AfK0m9BLWMxOXwmM.png?width=108&crop=smart&auto=webp&s=79b89ac981edad72ed8660070ad6e0e230c04cc3', 'width': 108}, {'height': 108, 'url': 'h... |
Uncensored models — does training one yourself actually help? | 0 | I use LLMs a lot, but I keep running into cases where safety filters block or distort the output. That got me curious about how uncensored models are actually trained.
I’ve been reading through the DeepSeek-R1 paper, especially the overall setup and the DeepSeek-R1-Zero training process. I think I have a rough idea of... | 2026-01-30T14:17:00 | https://www.reddit.com/r/LocalLLaMA/comments/1qr6n80/uncensored_models_does_training_one_yourself/ | Minimum_Ad_4069 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr6n80 | false | null | t3_1qr6n80 | /r/LocalLLaMA/comments/1qr6n80/uncensored_models_does_training_one_yourself/ | false | false | self | 0 | null |
Predictable Responses Using TinyLlama 1.1b | 0 | I'm doing research on running models locally on limited hardware and as part of this I have a Whipser - > LLM - > Unity pipeline.
So the user will say 1 of 5 commands that is passed as prompts to the LLM. These commands are predictable in structure but not in content. For example I know the command starts with "Turn" ... | 2026-01-30T14:13:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qr6k2f/predictable_responses_using_tinyllama_11b/ | VertexTech666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr6k2f | false | null | t3_1qr6k2f | /r/LocalLLaMA/comments/1qr6k2f/predictable_responses_using_tinyllama_11b/ | false | false | self | 0 | null |
Am I the only one who thinks limiting ROCm support for local Finetunes just to these cards makes no sense? Why rx 7700 is supported but 7600 is not? Or RDNA2? Does anyone have an idea how to use QLoRA on RX6600? Official or not. | 19 | https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html
https://rocm.docs.amd.com/projects/ai-developer-hub/en/v5.1/notebooks/fine_tune/QLoRA_Llama-3.1.html | 2026-01-30T14:03:36 | hackiv | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr6b63 | false | null | t3_1qr6b63 | /r/LocalLLaMA/comments/1qr6b63/am_i_the_only_one_who_thinks_limiting_rocm/ | false | false | default | 19 | {'enabled': True, 'images': [{'id': 'slm4vnwythgg1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/slm4vnwythgg1.jpeg?width=108&crop=smart&auto=webp&s=940bd9b1045cbe42fa628ddcda889f840b5c2907', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/slm4vnwythgg1.jpeg?width=216&crop=smart&auto=... | |
Potential inference speedup tricks.... | 2 | I've been prototyping and building and inference based engine mainly for usage in RPGs as I am done with basic character sheets and I want characters that really pop to life with extremely rich behaviour, so far it has been sucessful and it is nothing too deep it's mostly about memory and state management, and I have b... | 2026-01-30T13:54:57 | https://www.reddit.com/r/LocalLLaMA/comments/1qr638p/potential_inference_speedup_tricks/ | boisheep | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr638p | false | null | t3_1qr638p | /r/LocalLLaMA/comments/1qr638p/potential_inference_speedup_tricks/ | false | false | self | 2 | null |
LM Studio doesn't let continue generating a message anymore | 33 | I used LM studio for a long time and always liked it. Since my computer isn't nasa-level, I have to use quantized llms, and this means that often, to make them understand what I want, I needed to edit their answer with something along the lines of "Oh I see, you need me to..." and then click on the button that forced i... | 2026-01-30T13:45:54 | https://www.reddit.com/r/LocalLLaMA/comments/1qr5vdu/lm_studio_doesnt_let_continue_generating_a/ | PhyrexianSpaghetti | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr5vdu | false | null | t3_1qr5vdu | /r/LocalLLaMA/comments/1qr5vdu/lm_studio_doesnt_let_continue_generating_a/ | false | false | self | 33 | null |
Why we went desktop and local-first for agents 6 months ago | 13 | We’ve been thinking a lot about first principles when building agent project, and one conclusion we keep coming back to is this:
The first thing you should optimize for is the agent’s capability ceiling.
From that perspective, a desktop-first agent architecture makes a lot of sense. A few reasons why:
**Context acce... | 2026-01-30T13:45:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qr5v9d/why_we_went_desktop_and_localfirst_for_agents_6/ | Farajizx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr5v9d | false | null | t3_1qr5v9d | /r/LocalLLaMA/comments/1qr5v9d/why_we_went_desktop_and_localfirst_for_agents_6/ | false | false | self | 13 | null |
My local LLM usecase | 10 | No matter how much you spent on hardware you simply cant get the same performance as the SOTA models at home. I am not only talking about the quality of the output but also PP and TG. I use LLM’s for vibe coding, as a oracle for asking technical questions in my field (system administrator/devops) and tagging bookmarks ... | 2026-01-30T13:42:47 | https://www.reddit.com/r/LocalLLaMA/comments/1qr5sp3/my_local_llm_usecase/ | TheProtector0034 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr5sp3 | false | null | t3_1qr5sp3 | /r/LocalLLaMA/comments/1qr5sp3/my_local_llm_usecase/ | false | false | self | 10 | null |
PaddleOCR-VL 1.5 | 30 | PaddleOCR-VL 1.5 seems to have been released yesterday but hasn't been mentioned in this sub yet. Looks like an excellent update! | 2026-01-30T13:29:38 | https://www.paddleocr.ai/latest/en/index.html | iLaurens | paddleocr.ai | 1970-01-01T00:00:00 | 0 | {} | 1qr5hij | false | null | t3_1qr5hij | /r/LocalLLaMA/comments/1qr5hij/paddleocrvl_15/ | false | false | default | 30 | null |
help with LLM selection for local setup | 1 | my setup is a 5060 gpu with 8gb vram and 32gb ram. I know it isnt great but i wanted to know which latest llm is best for my needs. i need it to be decent at coding and with undergrad level math . any llm that can run at decent tps is good enough as long as their output is accurate most of the times. | 2026-01-30T13:18:47 | https://www.reddit.com/r/LocalLLaMA/comments/1qr58cb/help_with_llm_selection_for_local_setup/ | cool_karma1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr58cb | false | null | t3_1qr58cb | /r/LocalLLaMA/comments/1qr58cb/help_with_llm_selection_for_local_setup/ | false | false | self | 1 | null |
UPDATE: sklearn-diagnose now has an Interactive Chatbot! | 0 | I'm excited to share a major update to sklearn-diagnose - the open-source Python library that acts as an "MRI scanner" for your ML models (https://www.reddit.com/r/LocalLLaMA/s/JfKhNJs8iM)
When I first released sklearn-diagnose, users could generate diagnostic reports to understand why their models were failing. But I... | 2026-01-30T13:18:23 | https://www.reddit.com/r/LocalLLaMA/comments/1qr5804/update_sklearndiagnose_now_has_an_interactive/ | lc19- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr5804 | false | null | t3_1qr5804 | /r/LocalLLaMA/comments/1qr5804/update_sklearndiagnose_now_has_an_interactive/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'DSlCfYhkXxmGPsOJwQlsk1egsWtpemRKm8HUsp6UeP4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DSlCfYhkXxmGPsOJwQlsk1egsWtpemRKm8HUsp6UeP4.png?width=108&crop=smart&auto=webp&s=c2df4da62ed5a228a0456368ccb6c1953322fa6d', 'width': 108}, {'height': 108, 'url': 'h... |
We should really try fine-tuning MoLE model from a pre-trained model | 5 | tl;dr new architecture MoLE could let us run larger models locally by offloading to SSD at great speeds, but companies likely won't pre-train models with it, so I think it warrants a discussion on converting pre-trained models.
For context: read the [paper](https://arxiv.org/abs/2503.15798) and this [recent post](http... | 2026-01-30T13:02:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qr4uwr/we_should_really_try_finetuning_mole_model_from_a/ | z_latent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr4uwr | false | null | t3_1qr4uwr | /r/LocalLLaMA/comments/1qr4uwr/we_should_really_try_finetuning_mole_model_from_a/ | false | false | self | 5 | null |
CPU-only interference (ik_llama.cpp) | 4 | Hello!
I'd like to share my results of the CPU-only interference (ik\_llama.cpp)
Compilation settings:
AVX = 1 | AVX\_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512\_VBMI = 0 | AVX512\_VNNI = 0 | AVX512\_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM\_FMA = 0 | F16C = 1 | FP16\_VA = 0 | WASM\_SIMD = 0 | BLAS = 1 | SSE3 =... | 2026-01-30T12:58:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qr4ro8/cpuonly_interference_ik_llamacpp/ | ZealousidealBunch220 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr4ro8 | false | null | t3_1qr4ro8 | /r/LocalLLaMA/comments/1qr4ro8/cpuonly_interference_ik_llamacpp/ | false | false | self | 4 | null |
Yann LeCun says the best open models are not coming from the West. Researchers across the field are using Chinese models. Openness drove AI progress. Close access, and the West risks slowing itself. | 1,277 | From Forbes on YouTube: Yann LeCun Gives Unfiltered Take On The Future Of AI In Davos: [https://www.youtube.com/watch?v=MWMe7yjPYpE](https://www.youtube.com/watch?v=MWMe7yjPYpE)
Video by vitrupo on 𝕏: [https://x.com/vitrupo/status/2017218170273313033](https://x.com/vitrupo/status/2017218170273313033) | 2026-01-30T12:55:38 | https://v.redd.it/n31pvrxchhgg1 | Nunki08 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr4p4x | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/n31pvrxchhgg1/DASHPlaylist.mpd?a=1772369754%2CNDI2MzU1NzcwYTZmOWI2MDNhMjBhMWQ4MmVjNzEwNDhkNDllNTY0YmRmMTQxNTZhMzg5MjE3YmRiM2ZiMGIzZQ%3D%3D&v=1&f=sd', 'duration': 99, 'fallback_url': 'https://v.redd.it/n31pvrxchhgg1/CMAF_720.mp4?source=fallback', 'ha... | t3_1qr4p4x | /r/LocalLLaMA/comments/1qr4p4x/yann_lecun_says_the_best_open_models_are_not/ | false | false | 1,277 | {'enabled': False, 'images': [{'id': 'MnNnNHZ6eGNoaGdnMcC0w-E97YmQ2Bn80LEN79By6gOnSLJ7DXbqces3JuUE', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/MnNnNHZ6eGNoaGdnMcC0w-E97YmQ2Bn80LEN79By6gOnSLJ7DXbqces3JuUE.png?width=108&crop=smart&format=pjpg&auto=webp&s=91a009d7aec8f3d08b260831096f5645a08e8... | |
Is this budget hardware setup capable of running Minimax M2.1, GLM 4.7, Kimi K2.5? | 0 | Trying to assess how viable or not this build is for quantized large models and what the expected performance might be. Given the size of those models and my limited VRAM, I figured going octo channel could possibly help for these MoE models. But trying to figure out how to predict performance of these MoE models is tr... | 2026-01-30T12:44:29 | https://www.reddit.com/r/LocalLLaMA/comments/1qr4gei/is_this_budget_hardware_setup_capable_of_running/ | Careful_Breath_1108 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr4gei | false | null | t3_1qr4gei | /r/LocalLLaMA/comments/1qr4gei/is_this_budget_hardware_setup_capable_of_running/ | false | false | self | 0 | null |
What is everyone's thoughts on this Clawdbot? | 0 | 2026-01-30T12:32:16 | https://www.youtube.com/watch?v=lOKCCtb8ZGg | jjbola971 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1qr46v7 | false | {'oembed': {'author_name': 'Data Driven Josh', 'author_url': 'https://www.youtube.com/@DataDrivenJosh', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/lOKCCtb8ZGg?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; ... | t3_1qr46v7 | /r/LocalLLaMA/comments/1qr46v7/what_is_everyones_thoughts_on_this_clawdbot/ | false | false | default | 0 | null | |
[Math] Fine-tuning MoLE model from a pre-trained model? | 1 | For context: read the [paper](https://arxiv.org/abs/2503.15798) and a [recent post here](https://www.reddit.com/r/LocalLLaMA/comments/1qo75sj/mixture_of_lookup_experts_are_god_tier_for_the/) on the subject. Also, I apologize for the size of my post, but I guarantee I wrote it all by hand and thought about this carefull... | 2026-01-30T11:50:09 | https://www.reddit.com/r/LocalLLaMA/comments/1qr3bge/math_finetuning_mole_model_from_a_pretrained_model/ | z_latent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr3bge | false | null | t3_1qr3bge | /r/LocalLLaMA/comments/1qr3bge/math_finetuning_mole_model_from_a_pretrained_model/ | false | false | self | 1 | null |
Biology PI building multi-agent AI orchestrator - looking for feedback/collaborators | 1 | I'm a biology professor (France/Germany) who spent the last year building an AI development orchestration system:
* Multi-agent pipeline: planner → executor → critic → security scan
* Local LLM support (Ollama/Qwen) for privacy mode
* Multi-executor fallback (cheap models first, escalate if needed)
* Quality gates tha... | 2026-01-30T11:47:26 | https://www.reddit.com/r/LocalLLaMA/comments/1qr39kx/biology_pi_building_multiagent_ai_orchestrator/ | Own-Marzipan4488 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr39kx | false | null | t3_1qr39kx | /r/LocalLLaMA/comments/1qr39kx/biology_pi_building_multiagent_ai_orchestrator/ | false | false | self | 1 | null |
Upgrade my rig with a €3000 budget – which setup would you pick? | 0 | Hi folks,
I want to upgrade my rig with a budget of €3000.
Currently, I have 2× RTX 3060 (12 GB VRAM each), 56 GB RAM, and a Ryzen 7 5700G.
My usage: mainly coding with local models. I usually run one model at a time, and I'm looking for a setup that allows a larger context window and better performance with higher ... | 2026-01-30T11:02:35 | https://www.reddit.com/r/LocalLLaMA/comments/1qr2gas/upgrade_my_rig_with_a_3000_budget_which_setup/ | yeswearecoding | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr2gas | false | null | t3_1qr2gas | /r/LocalLLaMA/comments/1qr2gas/upgrade_my_rig_with_a_3000_budget_which_setup/ | false | false | self | 0 | null |
A question how do models like GPT have memory and constantly update it without increasing the context length so much? | 5 | Can we do that on LM Studio? | 2026-01-30T10:52:54 | https://www.reddit.com/r/LocalLLaMA/comments/1qr29yg/a_question_how_do_models_like_gpt_have_memory_and/ | Opening_Exit_1153 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr29yg | false | null | t3_1qr29yg | /r/LocalLLaMA/comments/1qr29yg/a_question_how_do_models_like_gpt_have_memory_and/ | false | false | self | 5 | null |
How do you test LLM model changes before deployment? | 1 | Currently running a production LLM app and considering switching models (e.g., Claude → GPT-4o, or trying Gemini).
My current workflow:
\- Manually test 10-20 prompts
\- Deploy and monitor
\- Fix issues as they come up in production
I looked into AWS SageMaker shadow testing, but it seems overly complex for AP... | 2026-01-30T10:48:56 | https://www.reddit.com/r/LocalLLaMA/comments/1qr27hi/how_do_you_test_llm_model_changes_before/ | Fluffy_Salary_5984 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr27hi | false | null | t3_1qr27hi | /r/LocalLLaMA/comments/1qr27hi/how_do_you_test_llm_model_changes_before/ | false | false | self | 1 | null |
Rig for Local LLMs (RTX Pro 6000 vs Halo Strix vs DGX Spark) | 7 | Hello,
For some time I'm eyeing gear for setting up local LLMs. I've even got 2 3090(with plan to get 4 total) some time ago, but decided that setting up 4 of those would not be feasible for me at that time and I've returned them and I'm looking for different approach.
As for usage, there will probably be only one u... | 2026-01-30T10:44:13 | https://www.reddit.com/r/LocalLLaMA/comments/1qr24ml/rig_for_local_llms_rtx_pro_6000_vs_halo_strix_vs/ | cysio528 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr24ml | false | null | t3_1qr24ml | /r/LocalLLaMA/comments/1qr24ml/rig_for_local_llms_rtx_pro_6000_vs_halo_strix_vs/ | false | false | self | 7 | null |
I just gave a 4 hour lecture on building a mini-Clawdbot from Scratch | 0 | Github repository: [https://github.com/VizuaraAILabs/Slack-ClawdBot/](https://github.com/VizuaraAILabs/Slack-ClawdBot/)
Video: [https://youtu.be/sfi\_xebGsSw](https://youtu.be/sfi_xebGsSw)
It ran for 4 hours 30 minutes.
Here are topics I cover:
• Large Language Models foundations
• Retrieval‑Augment... | 2026-01-30T10:37:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qr20at/i_just_gave_a_4_hour_lecture_on_building_a/ | OtherRaisin3426 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr20at | false | null | t3_1qr20at | /r/LocalLLaMA/comments/1qr20at/i_just_gave_a_4_hour_lecture_on_building_a/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'wuDMuTFL-iziXaJkgNGK2N8hsf0RhVeeUDTZVJzMCCM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wuDMuTFL-iziXaJkgNGK2N8hsf0RhVeeUDTZVJzMCCM.png?width=108&crop=smart&auto=webp&s=d15b439d3b5e6cf59bfce6df6996c95a519fd4e9', 'width': 108}, {'height': 108, 'url': 'h... |
Which Models do You Use for Writing Blog Post and Other Content? | 1 | [removed] | 2026-01-30T10:26:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qr1tq2/which_models_do_you_use_for_writing_blog_post_and/ | leopold_researchly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr1tq2 | false | null | t3_1qr1tq2 | /r/LocalLLaMA/comments/1qr1tq2/which_models_do_you_use_for_writing_blog_post_and/ | false | false | self | 1 | null |
SenseTime have launched and open-sourced SenseNova-MARS (8B/32B)! | 1 | First open-source AgenticVLM with dynamic image reasoning + text/image search
Autonomously plans steps, calls various tools, solves complex tasks
SOTA across benchmarks including MMSearch, HR-MMSearch, FVQA and more — surpassing Gemini3Pro & GPT5.2
https://preview.redd.it/gdm9xsjvoggg1.jpg?width=900&format=pjpg&auto... | 2026-01-30T10:18:39 | https://www.reddit.com/r/LocalLLaMA/comments/1qr1p1u/sensetime_have_launched_and_opensourced/ | Soggy_Mission3372 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr1p1u | false | null | t3_1qr1p1u | /r/LocalLLaMA/comments/1qr1p1u/sensetime_have_launched_and_opensourced/ | false | false | 1 | null | |
Anyone using bitnet.cpp for production apps? | 0 | I have a backend service which does simple text sumarization and clasification (max 5 categories). At the moment I am using Digital Ocean agents (for price reasons) and hosted ollama instance with a 14B model running on a dedicated GPU.
Both solutions come with drawback.
The hosted ollama can process max 2 req/s on ... | 2026-01-30T10:09:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qr1j7b/anyone_using_bitnetcpp_for_production_apps/ | 4848928883 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr1j7b | false | null | t3_1qr1j7b | /r/LocalLLaMA/comments/1qr1j7b/anyone_using_bitnetcpp_for_production_apps/ | false | false | self | 0 | null |
[Architecture] Applying "Charging Cable Topology" to System 2: Why We Should Stop Pruning Errors | 0 | I recently discussed the concept of "charging cable topology" (logical nodes providing structural rigidity). Since then, I've been researching how to translate this physical intuition into a specific System 2 architecture applicable to LLM agents.
With my background in intensive care units (ICUs) and industrial syst... | 2026-01-30T10:02:57 | https://www.reddit.com/r/LocalLLaMA/comments/1qr1f68/architecture_applying_charging_cable_topology_to/ | eric2675 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr1f68 | false | null | t3_1qr1f68 | /r/LocalLLaMA/comments/1qr1f68/architecture_applying_charging_cable_topology_to/ | false | false | self | 0 | null |
Open-source LoongFlow: Bridging LLM-powered Reasoning Agents and Evolutionary Algorithms for Local AI Research | 2 | Hey r/LocalLLaMA community! I’ve been exploring tools to make LLM-based autonomous AI research more efficient, and wanted to share an open-source framework that’s been working well for me—LoongFlow. It’s designed to bridge reasoning agents (powered by LLMs) and evolutionary algorithms, and I think it could be helpful f... | 2026-01-30T09:53:08 | https://www.reddit.com/r/LocalLLaMA/comments/1qr18xk/opensource_loongflow_bridging_llmpowered/ | EnvironmentTop7077 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr18xk | false | null | t3_1qr18xk | /r/LocalLLaMA/comments/1qr18xk/opensource_loongflow_bridging_llmpowered/ | false | false | self | 2 | null |
Hey so, I made a kinda local multimodal token counter, I'd like feedback | 0 | Title says it all, just pushed a proper token counter since I needed one, it might be full of bugs and need fixes so I'm looking for feedback from you guys: it's [tokometer.dev](https://tokometer.dev)
Thank you, hope you guys find it useful:
It's basically giving estimates based on whatever argument I could find... | 2026-01-30T09:50:41 | https://www.reddit.com/r/LocalLLaMA/comments/1qr17er/hey_so_i_made_a_kinda_local_multimodal_token/ | lgk01 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr17er | false | null | t3_1qr17er | /r/LocalLLaMA/comments/1qr17er/hey_so_i_made_a_kinda_local_multimodal_token/ | false | false | self | 0 | null |
Just arrived from taiwan - Pegatron Nvidia GH200 server, 144GB HBM3e, 624GB RAM, 2U, so quiet can run under the desk. | 18 | 2026-01-30T09:29:20 | GPTrack__ai | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qr0uxi | false | null | t3_1qr0uxi | /r/LocalLLaMA/comments/1qr0uxi/just_arrived_from_taiwan_pegatron_nvidia_gh200/ | false | false | 18 | {'enabled': True, 'images': [{'id': '-OtMMYRh6u2uXsGuTqzwic2E3cjZm-LxdzVqXG9NrNE', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/befsk3kvgggg1.jpeg?width=108&crop=smart&auto=webp&s=cc3a9ef36502d42f2b18e6298c4cb26e1fb7f8c8', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/befsk3kvgggg1.jp... | |||
Beginner in RAG, Need help. | 17 | Hello, I have a 400-500 page unstructured PDF document with selectable text filled with Tables. I have been provided Nvidia L40S GPU for a week. I need help in parsing such PDf's to be able to run RAG on this. My task is to make RAG possible on such documents which span anywhere betwee 400 to 1000 pages. I work in phar... | 2026-01-30T09:28:13 | https://www.reddit.com/r/LocalLLaMA/comments/1qr0ubh/beginner_in_rag_need_help/ | whatshouldidotoknow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr0ubh | false | null | t3_1qr0ubh | /r/LocalLLaMA/comments/1qr0ubh/beginner_in_rag_need_help/ | false | false | self | 17 | null |
Is "Meta-Prompting" (asking AI to write your prompt) actually killing your reasoning results? A real-world A/B test. | 0 | Hi everyone,
I recently had a debate with a colleague about the best way to interact with LLMs (specifically Gemini 1.5 Pro).
* **His strategy (Meta-Prompting):** Always ask the AI to write a "perfect prompt" for your problem first, then use that prompt.
* **My strategy (Iterative/Chain-of-Thought):** Start with an o... | 2026-01-30T08:40:39 | https://www.reddit.com/r/LocalLLaMA/comments/1qr02n2/is_metaprompting_asking_ai_to_write_your_prompt/ | pinkstar97 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qr02n2 | false | null | t3_1qr02n2 | /r/LocalLLaMA/comments/1qr02n2/is_metaprompting_asking_ai_to_write_your_prompt/ | false | false | self | 0 | null |
OpenAI gives us adds, Google gives us this | 0 | 2026-01-30T08:10:37 | https://www.youtube.com/watch?v=YxkGdX4WIBE | idkwhattochoosz | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1qqzl35 | false | {'oembed': {'author_name': 'Google DeepMind', 'author_url': 'https://www.youtube.com/@googledeepmind', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/YxkGdX4WIBE?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; g... | t3_1qqzl35 | /r/LocalLLaMA/comments/1qqzl35/openai_gives_us_adds_google_gives_us_this/ | false | false | default | 0 | null | |
Local AI setup | 4 | Hello, I currently have a Ryzen 5 2400G with 16 GB of RAM. Needless to say, it lags — it takes a long time to use even small models like Qwen-3 4B. If I install a cheap used graphics card like the Quadro P1000, would that speed up these small models and allow me to have decent responsiveness for interacting with them l... | 2026-01-30T08:05:53 | https://www.reddit.com/r/LocalLLaMA/comments/1qqzi8r/local_ai_setup/ | Illustrious_Oven2611 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqzi8r | false | null | t3_1qqzi8r | /r/LocalLLaMA/comments/1qqzi8r/local_ai_setup/ | false | false | self | 4 | null |
Local AI setup | 1 | Hi, I currently have a Ryzen 5 2400G with 16GB of RAM. To be honest, it’s lagging; it takes forever even for small models like Qwen 2.5 4B. If I get a cheap second-hand graphics card like a Quadro P1000, would that speed up these small models and give me decent response times for local interaction? | 2026-01-30T08:03:56 | https://www.reddit.com/r/LocalLLaMA/comments/1qqzh2d/local_ai_setup/ | Illustrious_Oven2611 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqzh2d | false | null | t3_1qqzh2d | /r/LocalLLaMA/comments/1qqzh2d/local_ai_setup/ | false | false | self | 1 | null |
Local AI setup | 1 | [deleted] | 2026-01-30T08:02:40 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1qqzgc3 | false | null | t3_1qqzgc3 | /r/LocalLLaMA/comments/1qqzgc3/local_ai_setup/ | false | false | default | 1 | null | ||
[Benchmark] Visualizing the "VRAM Wall": Qwen 2.5 7B (FP16) crashes to 0.7 TPS vs 50.9 TPS (Int4) on RTX 4070 Super (12GB). | 0 | Hi everyone,
I ran a benchmark to demonstrate exactly what happens when you exceed your GPU's VRAM limit. I attempted to run **Qwen 2.5 7B (FP16)** on my **RTX 4070 Super (12GB)**. Since the model size (\~14GB+) exceeds the 12GB VRAM, it was forced to swap to System RAM over the PCIe bus.
The result is a brutal **72x... | 2026-01-30T07:57:29 | https://www.reddit.com/r/LocalLLaMA/comments/1qqzczy/benchmark_visualizing_the_vram_wall_qwen_25_7b/ | Dry_Praline_4371 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqzczy | false | null | t3_1qqzczy | /r/LocalLLaMA/comments/1qqzczy/benchmark_visualizing_the_vram_wall_qwen_25_7b/ | false | false | self | 0 | null |
[Benchmark] The Power of Quantization: Qwen 2.5 Coder 7B (Int4) is FASTER and LIGHTER than Qwen 2.5 3B (FP16) on RTX 4070 Super. | 0 | Hi everyone,
I ran a benchmark to visualize the impact of quantization on a 12GB VRAM card (RTX 4070 Super).
I compared a smaller unquantized model (**Qwen 2.5 3B @ FP16**) against a larger quantized model (**Qwen 2.5 Coder 7B @ AWQ Int4**).
The results were counter-intuitive but demonstrate why quantization is king... | 2026-01-30T07:48:14 | https://www.reddit.com/r/LocalLLaMA/comments/1qqz7mi/benchmark_the_power_of_quantization_qwen_25_coder/ | Dry_Praline_4371 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqz7mi | false | null | t3_1qqz7mi | /r/LocalLLaMA/comments/1qqz7mi/benchmark_the_power_of_quantization_qwen_25_coder/ | false | false | self | 0 | null |
Pro tip for the ones that wants to automate their lives using Molbot, Local Agents | 0 | AI can't fix a thing if your life is a mess.
Drink water, do exercise, say "good morning" to your neighbor (even if you hate it)
You'll realize it wasn't so hard to fix calendar, have better rest time, improve your social skills, or get some (human) help when you have problems.
Once you have that in order, run GLM 4... | 2026-01-30T07:45:22 | https://www.reddit.com/r/LocalLLaMA/comments/1qqz5uu/pro_tip_for_the_ones_that_wants_to_automate_their/ | cristomc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqz5uu | false | null | t3_1qqz5uu | /r/LocalLLaMA/comments/1qqz5uu/pro_tip_for_the_ones_that_wants_to_automate_their/ | true | false | spoiler | 0 | null |
Tree style browser tabs are OP so I built tree-style terminal panes (OSS) | 2 | It's like an Obsidian-graph view but you can edit the markdown files and launch terminals directly inside of it. [github.com/voicetreelab/voicetree](http://github.com/voicetreelab/voicetree)
This helps a ton with brainstorming because I can represent my ideas exactly as they actually exist in my brain, as concepts ... | 2026-01-30T07:41:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qqz3ti/tree_style_browser_tabs_are_op_so_i_built/ | manummasson | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqz3ti | false | null | t3_1qqz3ti | /r/LocalLLaMA/comments/1qqz3ti/tree_style_browser_tabs_are_op_so_i_built/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'aPRSuHTPtFN9ZK2AQwOpbqgHm8zegKlAn9VnqpB846g', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/aPRSuHTPtFN9ZK2AQwOpbqgHm8zegKlAn9VnqpB846g.png?width=108&crop=smart&auto=webp&s=770a4a44ba1a1f98dcabb52db642c21acf245d0f', 'width': 108}, {'height': 108, 'url': 'h... |
I built a calculator that estimates LLM training cost & carbon footprint - Training a 1.3B model on 8x A100s: $4.1K, 8.5 days, 261 kg CO₂ (≈1,699 km driven) | 1 | [removed] | 2026-01-30T06:50:36 | https://www.reddit.com/r/LocalLLaMA/comments/1qqy8l4/i_built_a_calculator_that_estimates_llm_training/ | Rare_Pea7334 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqy8l4 | false | null | t3_1qqy8l4 | /r/LocalLLaMA/comments/1qqy8l4/i_built_a_calculator_that_estimates_llm_training/ | false | false | 1 | null | |
Qwen3TTSVoiceClone | 0 | does any one know how to solve this issue? | 2026-01-30T06:39:12 | Chemical_Painter_431 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qqy1gj | false | null | t3_1qqy1gj | /r/LocalLLaMA/comments/1qqy1gj/qwen3ttsvoiceclone/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'ax8yiz5gmfgg1', 'resolutions': [{'height': 53, 'url': 'https://preview.redd.it/ax8yiz5gmfgg1.png?width=108&crop=smart&auto=webp&s=cdac2b0a6c46672801c1fc83020ee68fe0372894', 'width': 108}, {'height': 107, 'url': 'https://preview.redd.it/ax8yiz5gmfgg1.png?width=216&crop=smart&auto=web... | |
Tiny AI - new era of pocket sized AI computers | 0 | I just came by this one little clever box. Its still in pre-kickstarter phase but it looks very promising.
120-160 TOPS / 80gb ram / 1tb nvme all running on only 60watts
What do you think about it? For me, i just secured my place in line :)
https://tiiny.ai/ | 2026-01-30T06:05:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qqxfh9/tiny_ai_new_era_of_pocket_sized_ai_computers/ | AdamLangePL | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qqxfh9 | false | null | t3_1qqxfh9 | /r/LocalLLaMA/comments/1qqxfh9/tiny_ai_new_era_of_pocket_sized_ai_computers/ | false | false | self | 0 | null |
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