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I proposed a "Decentralized Grokking" protocol (D.R.E.S.) based on Weight Decay, and Grok (xAI) just validated the mechanistic approach. | 0 | Hi everyone, I'm an independent researcher. I've been working on a lightweight architecture called **C.L.E.A.R.** that uses extreme weight decay to force 'Grokking' on small networks. The goal is to extract pure 'Logical Kernels' (<100KB) that are deterministic (no hallucinations). Yesterday, Grok (xAI) noticed the rep... | 2026-02-13T23:18:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r44ep7/i_proposed_a_decentralized_grokking_protocol_dres/ | UnderstandingAway139 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r44ep7 | false | null | t3_1r44ep7 | /r/LocalLLaMA/comments/1r44ep7/i_proposed_a_decentralized_grokking_protocol_dres/ | false | false | 0 | null | |
Hands-on CTF for prompt injection using Llama 3 70B 5 exploitation techniques | 1 | [removed] | 2026-02-13T23:18:12 | Sad_Professor_518 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r44edq | false | null | t3_1r44edq | /r/LocalLLaMA/comments/1r44edq/handson_ctf_for_prompt_injection_using_llama_3/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'zaw1fgkmhcjg1', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/zaw1fgkmhcjg1.png?width=108&crop=smart&auto=webp&s=7096510e93d10195fe5398c0f5880675787c38fb', 'width': 108}, {'height': 324, 'url': 'https://preview.redd.it/zaw1fgkmhcjg1.png?width=216&crop=smart&auto=we... | ||
Show r/LocalLLaMA: Clonar – A Node.js Agentic RAG pipeline with 8-stage multihop reasoning | 0 | I’ve been working on a native TypeScript/Node.js orchestrator because I found most RAG implementations too "one-shot" for complex queries.
I just open-sourced \*\*Clonar\*\*. Instead of a simple vector search, it uses an 8-stage reasoning loop:
1. Query Rewrite
2. Clarification Gate (asks the user if intent is vag... | 2026-02-13T22:58:33 | https://www.reddit.com/r/LocalLLaMA/comments/1r43xfh/show_rlocalllama_clonar_a_nodejs_agentic_rag/ | Additional-Song4826 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r43xfh | false | null | t3_1r43xfh | /r/LocalLLaMA/comments/1r43xfh/show_rlocalllama_clonar_a_nodejs_agentic_rag/ | false | false | self | 0 | null |
Architectural Advice: Transitioning from a Centralized Registry to a DHT? | 1 | I'm building Pilot Protocol (an overlay for agents). Currently, I use a centralized "Registry" (hot-standby replication) to map Node IDs to physical IP:Ports. This is a single point of failure and a bottleneck.
I am considering moving to a Kademlia-style DHT for the address table. My concern is the lookup latency—agen... | 2026-02-13T22:45:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r43moe/architectural_advice_transitioning_from_a/ | ENX-MemeLord | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r43moe | false | null | t3_1r43moe | /r/LocalLLaMA/comments/1r43moe/architectural_advice_transitioning_from_a/ | false | false | self | 1 | null |
Looking for friends to build a "lite" Openclaw alternative. | 1 | Hey everyone,
I am one of those people who was really fascinated about the potential of Openclaw/Moltbot/Clawdbot. But as just a hobbyist, I never wanted to face ridiculous API costs so my main goal was to be able to successfully power this thing with a local model.
The main hurdle is hardware. Currently working wit... | 2026-02-13T22:37:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r43gbx/looking_for_friends_to_build_a_lite_openclaw/ | jenoah_m | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r43gbx | false | null | t3_1r43gbx | /r/LocalLLaMA/comments/1r43gbx/looking_for_friends_to_build_a_lite_openclaw/ | false | false | self | 1 | null |
Figured out why my QLoRA training wasn't working even though loss was dropping | 7 | I've been struggling to get a 4-bit LoRA (QLoRA) to actually learn new behavior. The loss curve looked great (dropped to 10^-5), but the model was just a zombie—it sounded exactly like the base model.
It turns out the loss curve was a total lie. If you're stuck, here is what worked for me:
1. The Purple Banana Test
B... | 2026-02-13T22:24:18 | https://www.reddit.com/r/LocalLLaMA/comments/1r434dh/figured_out_why_my_qlora_training_wasnt_working/ | FeeMassive4003 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r434dh | false | null | t3_1r434dh | /r/LocalLLaMA/comments/1r434dh/figured_out_why_my_qlora_training_wasnt_working/ | false | false | self | 7 | null |
Fix: LM Studio Bug with Step-3.5-flash (strips <think> from the embedded jinja) | 12 | Ok, after some pondering (and testing) the problem with missing <think> tag in step-3.5-flash is not as I claimed missing in the GGUF (it is there!) but the LM Studio stripping the <think> tag from the jinja for whatever reason or not. Without it, the step-3.5 would repeat the answer twice and also work far less optima... | 2026-02-13T22:23:53 | FPham | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4340c | false | null | t3_1r4340c | /r/LocalLLaMA/comments/1r4340c/fix_lm_studio_bug_with_step35flash_strips_think/ | false | false | default | 12 | {'enabled': True, 'images': [{'id': 'miutl4hd7cjg1', 'resolutions': [{'height': 17, 'url': 'https://preview.redd.it/miutl4hd7cjg1.jpeg?width=108&crop=smart&auto=webp&s=e9b0d4c09baeafc962acf0faf173cdb5d512823f', 'width': 108}, {'height': 34, 'url': 'https://preview.redd.it/miutl4hd7cjg1.jpeg?width=216&crop=smart&auto=we... | |
I gave my on-device LLM 3% English data. It decided to be better at English than main language. | 26 | I’ve been messing around with Gemma 3 270M lately, and I’ve run into the most hilarious reality check.
Since I’m based in Korea, I spent weeks obsessing over a fine-tuning dataset that was 97% Korean. I really tried to bake in every possible nuance and emotional expression. I threw in a tiny 3% of English data just so... | 2026-02-13T22:09:37 | https://www.reddit.com/r/LocalLLaMA/comments/1r42r9b/i_gave_my_ondevice_llm_3_english_data_it_decided/ | shoonee_balavolka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r42r9b | false | null | t3_1r42r9b | /r/LocalLLaMA/comments/1r42r9b/i_gave_my_ondevice_llm_3_english_data_it_decided/ | false | false | self | 26 | null |
Why isn't anyone building dedicated PCIe inference cards for consumers? | 1 | [removed] | 2026-02-13T22:07:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r42pc1/why_isnt_anyone_building_dedicated_pcie_inference/ | True_Obligation_8517 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r42pc1 | false | null | t3_1r42pc1 | /r/LocalLLaMA/comments/1r42pc1/why_isnt_anyone_building_dedicated_pcie_inference/ | false | false | self | 1 | null |
Fake linux environment? | 0 | Anyone know of a fake linux environment? Preferably written in a fast language like C/C++ or Rust.
I wanna make my own local agent that I can use sorta like claude-code. That said I am never gonna give a dumb agent permissions to my local linux environment, I can't think of an easier way to get my system deleted, and ... | 2026-02-13T21:51:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r42beh/fake_linux_environment/ | vabenil | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r42beh | false | null | t3_1r42beh | /r/LocalLLaMA/comments/1r42beh/fake_linux_environment/ | false | false | self | 0 | null |
You are probably overpaying for intelligence (not in this community?) | 0 | TLDR:
* Opus 4.6 still the champion
* For general reasoning: Kimi K2.5 or GLM-5 deliver Tier 1 performance at a fraction of the cost.
* For coding and agentic coding: Kimi K2.5, GLM-5 and MiniMax M2.5.
* If budget is the primary concern, DeepSeek V3.2 is the standout value of this generation—statistically indistinguis... | 2026-02-13T21:51:14 | https://residuals.bearblog.dev/you-are-probably-overpaying-for-intelligence/ | Subject_Ear6869 | residuals.bearblog.dev | 1970-01-01T00:00:00 | 0 | {} | 1r42ati | false | null | t3_1r42ati | /r/LocalLLaMA/comments/1r42ati/you_are_probably_overpaying_for_intelligence_not/ | false | false | default | 0 | null |
I built a prompt linter that uses Ollama to catch issues in your LLM system prompts | 0 | I've been building [promptier](https://github.com/DeanShandler123/promptier), a TypeScript toolkit for composing and linting LLM system prompts. The latest release (v0.2.0) adds something I'm pretty excited about: **semantic linting powered by a local LLM via Ollama**.
**The problem**
Heuristic rules can catch obviou... | 2026-02-13T21:45:16 | https://www.reddit.com/r/LocalLLaMA/comments/1r425ew/i_built_a_prompt_linter_that_uses_ollama_to_catch/ | deanshx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r425ew | false | null | t3_1r425ew | /r/LocalLLaMA/comments/1r425ew/i_built_a_prompt_linter_that_uses_ollama_to_catch/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'hK8kKbifTbexg51SSkY5-9WeHRS02Ssn-P5xYDzPG5k', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/hK8kKbifTbexg51SSkY5-9WeHRS02Ssn-P5xYDzPG5k.png?width=108&crop=smart&auto=webp&s=4840e2c0389048d6faf1e7c4c9968888f7e280e2', 'width': 108}, {'height': 108, 'url': 'h... |
FIX: The step-3.5-flash GGUF has botched embedded jinja | 11 | For anybody who tries some of the GGUF of step-3.5-flash, the embedded jinja template in many of them (all I tried) is missing the <think> flag for some reason or other. The official [Step-3.5-Flash](https://huggingface.co/stepfun-ai/Step-3.5-Flash/tree/main) / chat\_template.jinja has the <think> but the embedded GGU... | 2026-02-13T21:30:41 | FPham | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r41s17 | false | null | t3_1r41s17 | /r/LocalLLaMA/comments/1r41s17/fix_the_step35flash_gguf_has_botched_embedded/ | false | false | default | 11 | {'enabled': True, 'images': [{'id': 'v9crofskxbjg1', 'resolutions': [{'height': 17, 'url': 'https://preview.redd.it/v9crofskxbjg1.jpeg?width=108&crop=smart&auto=webp&s=042f864283435f2c1ba26f6df01c18eb067a3f53', 'width': 108}, {'height': 34, 'url': 'https://preview.redd.it/v9crofskxbjg1.jpeg?width=216&crop=smart&auto=we... | |
How do you handle agent loops and cost overruns in production? | 1 | Hi everyone,
I've been experimenting with AI agents and I'm starting to think about the challenges of deploying them to production.
I'm particularly concerned about issues like agents getting stuck in loops or racking up unexpected API costs. For those of you who have experience with this, what are your current strat... | 2026-02-13T21:18:58 | https://www.reddit.com/r/LocalLLaMA/comments/1r41h6v/how_do_you_handle_agent_loops_and_cost_overruns/ | mark_bolimer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r41h6v | false | null | t3_1r41h6v | /r/LocalLLaMA/comments/1r41h6v/how_do_you_handle_agent_loops_and_cost_overruns/ | false | false | self | 1 | null |
GLM-5 Is a local GOAT | 133 | **Background**: I am a developer with over two decades of experience. I use LLMs heavily day to day from all of the major providers. Since the first Llama models came out I've been toying with local models, benchmarking them on real-world heavy use cases.
**Long story short:** GLM-5 is the first model I've been able t... | 2026-02-13T21:00:08 | https://v.redd.it/7l7iri95rbjg1 | FineClassroom2085 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r41013 | false | {'reddit_video': {'bitrate_kbps': 800, 'dash_url': 'https://v.redd.it/7l7iri95rbjg1/DASHPlaylist.mpd?a=1773608425%2CYjljMmEyMzRlYmVlOGZmYWQxYWE1YTc1MTc1ZWUxOTE2YTdjNmFmNjgxOTVlNzQ2MzY3ZmQwZGIxNGI5OGE3Mw%3D%3D&v=1&f=sd', 'duration': 13, 'fallback_url': 'https://v.redd.it/7l7iri95rbjg1/CMAF_360.mp4?source=fallback', 'has... | t3_1r41013 | /r/LocalLLaMA/comments/1r41013/glm5_is_a_local_goat/ | false | false | 133 | {'enabled': False, 'images': [{'id': 'MTlvZ25qOTVyYmpnMet_8L-GzQ_poWye6LYGoFL5kcPokh15ZfJ1OHhOgrf9', 'resolutions': [{'height': 153, 'url': 'https://external-preview.redd.it/MTlvZ25qOTVyYmpnMet_8L-GzQ_poWye6LYGoFL5kcPokh15ZfJ1OHhOgrf9.png?width=108&crop=smart&format=pjpg&auto=webp&s=7654ae812f97999f90c9810a927b75703430... | |
ubergarm/MiniMax-2.5-GGUF | 77 | Just cooked and benchmarked (perplexity) of some MiniMax-M2.5 GGUF quants over at: [https://huggingface.co/ubergarm/MiniMax-M2.5-GGUF](https://huggingface.co/ubergarm/MiniMax-M2.5-GGUF)
The IQ4\_XS works on mainline llama.cpp, LMStudio, Kobold CPP etc. The other quants require ik\_llama.cpp (which supports all of the ... | 2026-02-13T20:47:04 | VoidAlchemy | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r40o83 | false | null | t3_1r40o83 | /r/LocalLLaMA/comments/1r40o83/ubergarmminimax25gguf/ | false | false | 77 | {'enabled': True, 'images': [{'id': 'e7zeec20qbjg1', 'resolutions': [{'height': 73, 'url': 'https://preview.redd.it/e7zeec20qbjg1.png?width=108&crop=smart&auto=webp&s=e35d47dc82d9c347a93f70119e835c9cd437b5a1', 'width': 108}, {'height': 146, 'url': 'https://preview.redd.it/e7zeec20qbjg1.png?width=216&crop=smart&auto=web... | ||
An idea for a practical, useful tool that tons of people would use. | 0 | Simple app (could self-host or somebody could throw it online somewhere) that lets you specify:
1. Your hardware specs (system RAM, GPU, etc)
2. Your use case
The app then tells you what the best open source model for your hardware/use case combo would be, and even the best way to run it.
It would be updated as ne... | 2026-02-13T20:22:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r401yx/an_idea_for_a_practical_useful_tool_that_tons_of/ | cloudcity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r401yx | false | null | t3_1r401yx | /r/LocalLLaMA/comments/1r401yx/an_idea_for_a_practical_useful_tool_that_tons_of/ | false | false | self | 0 | null |
GPT-OSS 120b Uncensored Aggressive Release (MXFP4 GGUF) | 339 | Hey everyone, made an uncensored version of GPT-OSS 120B.
Quick specs: 117B total params, \~5.1B active (MoE with 128 experts, top-4 routing), 128K context. MXFP4 is the model's native precision - this isn't a quantization, it's how it was trained. No overall quality loss, though you can see CoT behave differently... | 2026-02-13T20:15:33 | https://www.reddit.com/r/LocalLLaMA/comments/1r3zuuf/gptoss_120b_uncensored_aggressive_release_mxfp4/ | hauhau901 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3zuuf | false | null | t3_1r3zuuf | /r/LocalLLaMA/comments/1r3zuuf/gptoss_120b_uncensored_aggressive_release_mxfp4/ | false | false | self | 339 | {'enabled': False, 'images': [{'id': 'QZffkKXjStXvdHv-2EojgSarRAJg5k8b1E5-4PAV9-k', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/QZffkKXjStXvdHv-2EojgSarRAJg5k8b1E5-4PAV9-k.png?width=108&crop=smart&auto=webp&s=07a2e07aef74f1516db3300b0da74cd85365f6d1', 'width': 108}, {'height': 116, 'url': 'h... |
LLM/NLU for processing user input | 2 | Apologies if this is not the correct sub for this, please delete if so!
TLDR: I want to parse user input into formatted requests that can be passed to services to do actions (no, I don't want OpenClaw)
I'd like to create an app/bot for users (mainly friends and family) to message. The app would allow them to make req... | 2026-02-13T19:53:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r3z9eb/llmnlu_for_processing_user_input/ | PrivacyIsDying | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3z9eb | false | null | t3_1r3z9eb | /r/LocalLLaMA/comments/1r3z9eb/llmnlu_for_processing_user_input/ | false | false | self | 2 | null |
Are we confusing "Chain of Thought" with actual logic? A question on reasoning mechanisms. | 0 | I'm trying to deeply understand the mechanism behind LLM reasoning (specifically in models like o1 or DeepSeek).
Mechanism: Is the model actually applying logic gates/rules, or is it just a probabilistic simulation of a logic path? If it "backtracks" during CoT, is that a learned pattern or a genuine evaluation of t... | 2026-02-13T19:44:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r3z13a/are_we_confusing_chain_of_thought_with_actual/ | Sathvik_Emperor | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3z13a | false | null | t3_1r3z13a | /r/LocalLLaMA/comments/1r3z13a/are_we_confusing_chain_of_thought_with_actual/ | false | false | self | 0 | null |
has it begun? | 206 | [https://www.bloomberg.com/news/articles/2026-02-13/us-to-put-alibaba-on-list-for-aiding-china-s-military-reuters](https://www.bloomberg.com/news/articles/2026-02-13/us-to-put-alibaba-on-list-for-aiding-china-s-military-reuters)
They were about to present the name of alibaba and Baidu as a potential threat or issue fo... | 2026-02-13T19:38:01 | Acceptable_Home_ | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3yuyd | false | null | t3_1r3yuyd | /r/LocalLLaMA/comments/1r3yuyd/has_it_begun/ | false | false | 206 | {'enabled': True, 'images': [{'id': 'ei9lt0u4ebjg1', 'resolutions': [{'height': 117, 'url': 'https://preview.redd.it/ei9lt0u4ebjg1.jpeg?width=108&crop=smart&auto=webp&s=2cff71cf0b24d34f2775cc073cca679386b546f7', 'width': 108}, {'height': 234, 'url': 'https://preview.redd.it/ei9lt0u4ebjg1.jpeg?width=216&crop=smart&auto=... | ||
MiniMax 2.5 locally on my setup | 12 | GGUF created by u/Remarkable_Jicama775, available from here: [https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF](https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF)
20 t/s on Q3
setup: 3x3090 on X399 Taichi + DDR4 (2667 MT/s) + Threadripper 1920X
| 2026-02-13T19:29:37 | https://www.reddit.com/gallery/1r3yn5r | jacek2023 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r3yn5r | false | null | t3_1r3yn5r | /r/LocalLLaMA/comments/1r3yn5r/minimax_25_locally_on_my_setup/ | false | false | 12 | null | |
Omni-Crawler: from a ton of links to a single md file to feed your LLMs | 3 | First things first: Yes, this post and the repo content were drafted/polished using **Gemini**. No, I’m not a developer; I’m just a humble homelabber.
I’m sharing a project I put together to solve my own headaches: **Omni-Crawler**.
# What is it?
It’s a hybrid script (CLI + Graphical Interface via Streamlit) based o... | 2026-02-13T19:27:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r3yl5i/omnicrawler_from_a_ton_of_links_to_a_single_md/ | EnthropicBeing | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3yl5i | false | null | t3_1r3yl5i | /r/LocalLLaMA/comments/1r3yl5i/omnicrawler_from_a_ton_of_links_to_a_single_md/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'jTAjm8ajCrVvF3-_9MRq-M1dsw4QFrXObhj24nZnJhg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jTAjm8ajCrVvF3-_9MRq-M1dsw4QFrXObhj24nZnJhg.png?width=108&crop=smart&auto=webp&s=3779ca7f57b95ef276acc75d19774711fc71271f', 'width': 108}, {'height': 108, 'url': 'h... |
Who's still using QWQ...and what for? | 0 | For a long time, QWQ was one of the top open source models, punching way above its weight. Many considered it the "Deepseek" model for mid/lower end PCs.
One of its weak points was its excessive thinking, despite its outputs being pretty solid.
After Qwen 3 dropped, especially the 30B versions w/their lightning speed... | 2026-02-13T19:26:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r3yk7r/whos_still_using_qwqand_what_for/ | GrungeWerX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3yk7r | false | null | t3_1r3yk7r | /r/LocalLLaMA/comments/1r3yk7r/whos_still_using_qwqand_what_for/ | false | false | self | 0 | null |
Best Coding-LLM to run locally on M4 Mac Mini (Feb 2026) | 3 | Hi all! First time posting - about to get my M4 Mac Mini (24GB) for internal use as a team.
We want to run a coding agent (and maybe some vid gen stuff too) locally to avoid soaring API costs.
What are the best models people recommend, ideally from your lived experience with them.
SOTA seems like a commoditised-st... | 2026-02-13T19:24:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r3yi20/best_codingllm_to_run_locally_on_m4_mac_mini_feb/ | Competitive-Arm3801 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3yi20 | false | null | t3_1r3yi20 | /r/LocalLLaMA/comments/1r3yi20/best_codingllm_to_run_locally_on_m4_mac_mini_feb/ | false | false | self | 3 | null |
Trained a 300k non-embed params model on ChatAlpaca dataset from scratch. | 8 | Hey, so this is a follow-up of my previous post https://www.reddit.com/r/LocalLLaMA/comments/1qym566/i_trained_a_18m_params_model_from_scratch_on_a/ about my project **Strawberry**.
Here's the repo for those who are interested https://github.com/SrijanSriv211/Strawberry
So I've been experimenting with this project. I... | 2026-02-13T19:19:41 | https://www.reddit.com/gallery/1r3ydhg | SrijSriv211 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r3ydhg | false | null | t3_1r3ydhg | /r/LocalLLaMA/comments/1r3ydhg/trained_a_300k_nonembed_params_model_on/ | false | false | 8 | null | |
LLaDA2.1 (100B/16B) released — now with token editing for massive speed gains | 96 | LLaDA2.1 builds on LLaDA2.0 by introducing Token-to-Token (T2T) editing alongside the standard Mask-to-Token decoding. Instead of locking in tokens once generated, the model can now retroactively correct errors during inference — enabling much more aggressive parallel drafting.
Two decoding modes:
* S Mode (Speedy): ... | 2026-02-13T19:16:39 | https://www.reddit.com/r/LocalLLaMA/comments/1r3yahe/llada21_100b16b_released_now_with_token_editing/ | FeelingWatercress871 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3yahe | false | null | t3_1r3yahe | /r/LocalLLaMA/comments/1r3yahe/llada21_100b16b_released_now_with_token_editing/ | false | false | self | 96 | {'enabled': False, 'images': [{'id': '82mCsHP2SIMtQkvDhPErINi3uSkeLyzxZS6d7hE1-9Y', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/82mCsHP2SIMtQkvDhPErINi3uSkeLyzxZS6d7hE1-9Y.png?width=108&crop=smart&auto=webp&s=1dea6c4f9a7ede7945fd5f5cb86fb641425e4d28', 'width': 108}, {'height': 116, 'url': 'h... |
How diverse are the results of the Qwen-TTS voice design feature? | 1 | [removed] | 2026-02-13T19:03:14 | https://www.reddit.com/r/LocalLLaMA/comments/1r3xxm7/how_diverse_are_the_results_of_the_qwentts_voice/ | GotHereLateNameTaken | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3xxm7 | false | null | t3_1r3xxm7 | /r/LocalLLaMA/comments/1r3xxm7/how_diverse_are_the_results_of_the_qwentts_voice/ | false | false | self | 1 | null |
Has anyone tested Minimax m2.5 locally? Pls share the benchmark. | 5 | I have a DDR3 Xeon configuration with two Mi50 32GB RAM modules, and I'd like to run the new Minimax model. Has anyone tested the M2.5 model? I've left feedback and how many tokens per second it ran at. | 2026-02-13T18:40:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r3xc1d/has_anyone_tested_minimax_m25_locally_pls_share/ | Creative_Bike_4105 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3xc1d | false | null | t3_1r3xc1d | /r/LocalLLaMA/comments/1r3xc1d/has_anyone_tested_minimax_m25_locally_pls_share/ | false | false | self | 5 | null |
I built a social network where 6 Ollama agents debate each other autonomously — Mistral vs Llama 3.1 vs CodeLlama | 0 | I've been running an experiment for the past week: 6 AI agents, each powered by different Ollama models, posting and commenting on their own professional network.
The setup:
* **ResearchBot** (Llama 3.1:8b) — focuses on AI research papers
* **CodeWeaver** (CodeLlama) — discusses software architecture
* **MetaMind** (... | 2026-02-13T18:33:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r3x5l6/i_built_a_social_network_where_6_ollama_agents/ | Practical_Walrus_299 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3x5l6 | false | null | t3_1r3x5l6 | /r/LocalLLaMA/comments/1r3x5l6/i_built_a_social_network_where_6_ollama_agents/ | false | false | self | 0 | null |
What are the best subforums for Ai? | 0 | I have started my own community at aisolobusinesses here on Reddit, I am trying to find out what some of the other best subforums are for discussing Ai tools and workflows. Thank you! | 2026-02-13T18:26:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r3wyff/what_are_the_best_subforums_for_ai/ | NickyB808 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3wyff | false | null | t3_1r3wyff | /r/LocalLLaMA/comments/1r3wyff/what_are_the_best_subforums_for_ai/ | false | false | self | 0 | null |
do anybody success opencode using qwen3-next-code? | 3 | using llamaccp(compiled today), i'm running Qwen3-Coder-Next-Q4\_K\_M.gguf.
before i used this command
\`\`\`
./llama-server -m <specific\_path>/Qwen3-Coder-Next-Q4\_K\_M.gguf --host [0.0.0.0](http://0.0.0.0) \--temp 0.7 --top-p 0.95 --top-k 40 --min-p 0 --port 9293 --alias Qwen3-Coder-Next -ngl -1 -fa on -n 32768 ... | 2026-02-13T18:19:21 | https://www.reddit.com/r/LocalLLaMA/comments/1r3wr2x/do_anybody_success_opencode_using_qwen3nextcode/ | Zealousideal-West624 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3wr2x | false | null | t3_1r3wr2x | /r/LocalLLaMA/comments/1r3wr2x/do_anybody_success_opencode_using_qwen3nextcode/ | false | false | self | 3 | null |
What is best Mac App Store alternative to LocalLLaMA? | 0 | I want to run LLMs locally on a mac, but I prefer to run sandboxed code and get something from the App Store. What is the best option? I see Locally AI and Private LLM. At some point I’d like to run MiniMax M2.5. Any chance that a sandboxed app will allow that? | 2026-02-13T18:08:32 | https://www.reddit.com/r/LocalLLaMA/comments/1r3wgi3/what_is_best_mac_app_store_alternative_to/ | Xorita | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3wgi3 | false | null | t3_1r3wgi3 | /r/LocalLLaMA/comments/1r3wgi3/what_is_best_mac_app_store_alternative_to/ | false | false | self | 0 | null |
SWE-rebench Jan 2026: GLM-5, MiniMax M2.5, Qwen3-Coder-Next, Opus 4.6, Codex Performance | 278 | Hi all, I’m Anton from Nebius.
We’ve updated the **SWE-rebench leaderboard** with our **January runs** on **48 fresh GitHub PR tasks** (PRs created in the previous month only). The setup is standard SWE-bench: models read real PR issues, edit code, run tests, and must make the full suite pass.
Key observations:
* **... | 2026-02-13T18:06:40 | https://swe-rebench.com/?insight=jan_2026 | CuriousPlatypus1881 | swe-rebench.com | 1970-01-01T00:00:00 | 0 | {} | 1r3weq3 | false | null | t3_1r3weq3 | /r/LocalLLaMA/comments/1r3weq3/swerebench_jan_2026_glm5_minimax_m25/ | false | false | default | 278 | null |
Running local model on mac mini and remote connection | 1 | Hey everyone. Apologies for the stupid question in advance.
I'm looking to run a local model on a mac mini, however all my work is done on a separate machine (laptop). AFAIK I can set my claude code to point to a local model fairly easily but I'm confused as to how I can run the model on my mac and connect it to my la... | 2026-02-13T18:04:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r3wc76/running_local_model_on_mac_mini_and_remote/ | benaffleks | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3wc76 | false | null | t3_1r3wc76 | /r/LocalLLaMA/comments/1r3wc76/running_local_model_on_mac_mini_and_remote/ | false | false | self | 1 | null |
Adding 2 more GPU to PC | 1 | I had a mining rig for some time and it's been decommissioned for some time now. Tinkering with LLMs and would like more VRAM.
I've seen gotten rid of my frames I built to support 6 GPUs and I've built several PCs. I'd like to add 2 more GPUs to one of my machines and wanted to pick everyone's brain on my thoughts.... | 2026-02-13T18:00:14 | https://www.reddit.com/r/LocalLLaMA/comments/1r3w84e/adding_2_more_gpu_to_pc/ | BisonCompetitive9610 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3w84e | false | null | t3_1r3w84e | /r/LocalLLaMA/comments/1r3w84e/adding_2_more_gpu_to_pc/ | false | false | self | 1 | null |
Are vector databases fundamentally insufficient for long-term LLM memory? | 0 | Hey all,
I have been experimenting with long term memory for LLM agents and keep running into the classic limitations.
As you probably already know, vector embeddings are great for similarity search via cosine or BM25. But the moment you care about things like persistent state, relationships between facts, or how con... | 2026-02-13T17:54:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r3w2jp/are_vector_databases_fundamentally_insufficient/ | Bubbly_Run_2349 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3w2jp | false | null | t3_1r3w2jp | /r/LocalLLaMA/comments/1r3w2jp/are_vector_databases_fundamentally_insufficient/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'UMmgLqxSKJ8RLo75zNaYB59oXyYxWF4au_tTqpnbr1U', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/UMmgLqxSKJ8RLo75zNaYB59oXyYxWF4au_tTqpnbr1U.png?width=108&crop=smart&auto=webp&s=fcb5f2b81e2cc232886e8e899b0e9a16baaba2f3', 'width': 108}, {'height': 108, 'url': 'h... |
MiniMax M2.5 Weights Released | 1 | Official: https://huggingface.co/MiniMaxAI/MiniMax-M2.5
Size has stayed the same A10B/230B! | 2026-02-13T17:46:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r3vuwb/minimax_m25_weights_released/ | rm-rf-rm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3vuwb | false | null | t3_1r3vuwb | /r/LocalLLaMA/comments/1r3vuwb/minimax_m25_weights_released/ | false | false | self | 1 | null |
Anyone have experience with Langgraph environments and performance gains | 1 | does anyone here have experience with agentic graph environments or rlm implementations. one of the reasons I purchased local inference hardware is to experiment with the absolute limits of small models and it seems like agentic graphic orchestrations like swe-agent and recursive repl environments like rlm are the blee... | 2026-02-13T17:45:20 | https://www.reddit.com/r/LocalLLaMA/comments/1r3vtpy/anyone_have_experience_with_langgraph/ | competitivepissdrnkr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3vtpy | false | null | t3_1r3vtpy | /r/LocalLLaMA/comments/1r3vtpy/anyone_have_experience_with_langgraph/ | false | false | self | 1 | null |
Local model for Svelte 5 | 5 | Hello Local LLM friends,
I have a 10 hour plane trip and I will take my macbook air (16GB) with me, but I'm playing with Svelte 5 and most local small models were released before its launch. Do you guys know of any local coding models with more up to date knowledge that I could try?
Thank you! | 2026-02-13T17:40:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r3vou2/local_model_for_svelte_5/ | Hanthunius | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3vou2 | false | null | t3_1r3vou2 | /r/LocalLLaMA/comments/1r3vou2/local_model_for_svelte_5/ | false | false | self | 5 | null |
Problem with installing TTS locally :/ | 2 | Trying to install this Moss TTS in windows but everytime at the end when launching gradio app, getting error:
>Trying to install this Moss TTS in windows.
>DvDrytimD at thD Dnd whDn launching gradio app, gDtting Drror:
>\[INFO\] Using attn\_implDmDntation=sdpa
>\[Startup\] PrDloading backDnd: modDl=OpDnMOSS-TDam/MO... | 2026-02-13T17:19:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r3v4xw/problem_with_installing_tts_locally/ | TheRealistDude | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3v4xw | false | null | t3_1r3v4xw | /r/LocalLLaMA/comments/1r3v4xw/problem_with_installing_tts_locally/ | false | false | self | 2 | null |
Easiest out of the box option for local claude code | 1 | I'm starting to use claude code a lot, but running into usage limits.
I tried nemotron with ollama's claude API support, but it just proceeded to answer questions without tool use or reading code.
I'm happy to use a different llm server and model if it'll give me a known functional claude code alternative when my tok... | 2026-02-13T17:13:15 | https://www.reddit.com/r/LocalLLaMA/comments/1r3uz01/easiest_out_of_the_box_option_for_local_claude/ | One-Employment3759 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3uz01 | false | null | t3_1r3uz01 | /r/LocalLLaMA/comments/1r3uz01/easiest_out_of_the_box_option_for_local_claude/ | false | false | self | 1 | null |
GGUF OF MiniMax-M2.5 OUTTT | 3 | [https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF](https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF)
[https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF](https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF)
[https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF](https://huggingface.co/ox-ox/MiniMax-M2.5-GGUF) | 2026-02-13T17:07:14 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ut5d/gguf_of_minimaxm25_outtt/ | Remarkable_Jicama775 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ut5d | false | null | t3_1r3ut5d | /r/LocalLLaMA/comments/1r3ut5d/gguf_of_minimaxm25_outtt/ | false | false | self | 3 | null |
MiniMax-M2.5 MLX Q3/Q4 uploaded | 5 | The weights for MiniMax just dropped M2.5 today (229B MoE, 10B active params, 80.2% SWE-Bench Verified) and I quantized it to MLX within an hour of release. First time doing this!
\*\*My quants:\*\*
\- \[4-bit MLX\](https://huggingface.co/ahoybrotherbear/MiniMax-M2.5-4bit-MLX) -- \~129GB, needs 256GB+ RAM
\- \[3-b... | 2026-02-13T16:58:56 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ukr7/minimaxm25_mlx_q3q4_uploaded/ | ToastFetish | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ukr7 | false | null | t3_1r3ukr7 | /r/LocalLLaMA/comments/1r3ukr7/minimaxm25_mlx_q3q4_uploaded/ | false | false | self | 5 | null |
MiniMax-M2.5 (230B MoE) GGUF is here - First impressions on M3 Max 128GB | 76 | Just finished the quantization of the new **MiniMax-M2.5** using `llama.cpp` (build 8022). Since the source was FP8, I went the long way: **FP8 -> F16 Master GGUF (457GB) -> Q4\_K\_M** to ensure no precision loss during the K-Quant process.
**Quick Specs:**
* **Size:** \~132GB (Q4\_K\_M).
* **Hardware:** MacBook Pro ... | 2026-02-13T16:56:58 | https://www.reddit.com/r/LocalLLaMA/comments/1r3uj0h/minimaxm25_230b_moe_gguf_is_here_first/ | Remarkable_Jicama775 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3uj0h | false | null | t3_1r3uj0h | /r/LocalLLaMA/comments/1r3uj0h/minimaxm25_230b_moe_gguf_is_here_first/ | false | false | self | 76 | {'enabled': False, 'images': [{'id': 'NAXEsvevj4GPIksi02YF2w3lP97shb-x9vztHJ0CZ_Y', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/NAXEsvevj4GPIksi02YF2w3lP97shb-x9vztHJ0CZ_Y.png?width=108&crop=smart&auto=webp&s=74785703ecf36f7e5a67cd72a8d2e71791b538e6', 'width': 108}, {'height': 116, 'url': 'h... |
GPT-OSS (20B) running 100% locally in your browser on WebGPU | 142 | Today, I released a demo showcasing GPT-OSS (20B) running 100% locally in-browser on WebGPU, powered by Transformers.js v4 (preview) and ONNX Runtime Web. Hope you like it!
Links:
\- Demo (+ source code): [https://huggingface.co/spaces/webml-community/GPT-OSS-WebGPU](https://huggingface.co/spaces/webml-community... | 2026-02-13T16:56:53 | https://v.redd.it/ioqb4q8jkajg1 | xenovatech | /r/LocalLLaMA/comments/1r3uixu/gptoss_20b_running_100_locally_in_your_browser_on/ | 1970-01-01T00:00:00 | 0 | {} | 1r3uixu | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/ioqb4q8jkajg1/DASHPlaylist.mpd?a=1773723423%2CZGE2YmYxZWM1NDZjZDQyMzMwMDliODIwOTgwMDkyYWZkMGRlNTA1NTA0Mzc4NjdlM2RjY2JiNTdiNDZkY2Y3YQ%3D%3D&v=1&f=sd', 'duration': 83, 'fallback_url': 'https://v.redd.it/ioqb4q8jkajg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r3uixu | /r/LocalLLaMA/comments/1r3uixu/gptoss_20b_running_100_locally_in_your_browser_on/ | false | false | 142 | {'enabled': False, 'images': [{'id': 'azltbmk2OWprYWpnMcJUN0NJi-FsRvjcOQ-2jdC_J8rSz1PUOqY6x-ztdpX7', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/azltbmk2OWprYWpnMcJUN0NJi-FsRvjcOQ-2jdC_J8rSz1PUOqY6x-ztdpX7.png?width=108&crop=smart&format=pjpg&auto=webp&s=dac41acc591c3eadd99caa4d776f5772df4f3... | |
I built a 2-Node Raspberry Pi Cluster that derives its own 'Scarcity' ethics. Meet JAROD. | 4 | Most people think you need a server farm for this kind of reasoning. I'm doing it on a Raspberry Pi cluster by abandoning the standard 'Transformer-only' approach.
Instead, I've built a Neuro-Symbolic Hybrid Architecture.
Memory: I use Hyperdimensional Computing (HDC) arrays. This allows the system to store 'concepts... | 2026-02-13T16:56:09 | https://www.reddit.com/gallery/1r3ui7c | Beeradise | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r3ui7c | false | null | t3_1r3ui7c | /r/LocalLLaMA/comments/1r3ui7c/i_built_a_2node_raspberry_pi_cluster_that_derives/ | false | false | 4 | null | |
Multiple model inference in parallel on single GPU? KServe? | 2 | Hey, so I'm in a situation where I can run models on a H200 on bare metal, and we want to try a few models in parallel. Issue is, I don't know how.
We're heavily invested in Kubeflow as a scalable k8s-based MLOps platform, so KServe would be the candidate to pull this off, especially since it has vLLM integrated now ... | 2026-02-13T16:49:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r3uc44/multiple_model_inference_in_parallel_on_single/ | sometimes_angery | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3uc44 | false | null | t3_1r3uc44 | /r/LocalLLaMA/comments/1r3uc44/multiple_model_inference_in_parallel_on_single/ | false | false | self | 2 | null |
Pentagon Targets Alibaba and Baidu | 11 | The U.S. Pentagon added Alibaba Group Holding Ltd., BYD Co., Baidu Inc., and TP-Link Technologies Co. to a list of companies aiding the Chinese military, then removed it minutes later without explanation. This move caused immediate stock price drops for the affected firms, sparking concerns about U.S. policy intentions... | 2026-02-13T16:42:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r3u4tx/pentagon_targets_alibaba_and_baidu/ | tony10000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3u4tx | false | null | t3_1r3u4tx | /r/LocalLLaMA/comments/1r3u4tx/pentagon_targets_alibaba_and_baidu/ | false | false | self | 11 | null |
Soy nuevo como empezar con MiniMax-M2.5 en mi PC? | 1 | [removed] | 2026-02-13T16:32:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r3tv6a/soy_nuevo_como_empezar_con_minimaxm25_en_mi_pc/ | franzak48_Wuaco | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3tv6a | false | null | t3_1r3tv6a | /r/LocalLLaMA/comments/1r3tv6a/soy_nuevo_como_empezar_con_minimaxm25_en_mi_pc/ | false | false | self | 1 | null |
RAM shortage problem solved | 284 | 2026-02-13T16:27:35 | JackStrawWitchita | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3tqox | false | null | t3_1r3tqox | /r/LocalLLaMA/comments/1r3tqox/ram_shortage_problem_solved/ | false | false | 284 | {'enabled': True, 'images': [{'id': 'p23ri3acgajg1', 'resolutions': [{'height': 68, 'url': 'https://preview.redd.it/p23ri3acgajg1.jpeg?width=108&crop=smart&auto=webp&s=127f4b2b4195abacefa65a846565038e2e1e1d27', 'width': 108}, {'height': 137, 'url': 'https://preview.redd.it/p23ri3acgajg1.jpeg?width=216&crop=smart&auto=w... | |||
Minimax-M2.5 at same level of GLM-4.7 and DeepSeek-3.2 | 45 | [Coding Index 13\/02\/2026 Artificial Analisys](https://preview.redd.it/ps0fnwi7fajg1.png?width=1462&format=png&auto=webp&s=a1209b5ed071f67d465b5ab243fcbc309a676c17)
[General Index Intelligence 13\/02\/2026 Artificial Analisys](https://preview.redd.it/fepkt4hffajg1.png?width=1468&format=png&auto=webp&s=c457992a63fd80a... | 2026-02-13T16:25:08 | https://www.reddit.com/r/LocalLLaMA/comments/1r3toe1/minimaxm25_at_same_level_of_glm47_and_deepseek32/ | Rascazzione | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3toe1 | false | null | t3_1r3toe1 | /r/LocalLLaMA/comments/1r3toe1/minimaxm25_at_same_level_of_glm47_and_deepseek32/ | false | false | 45 | null | |
MiniMax 2.5 full precision FP8 running LOCALLY on vLLM x 8x Pro 6000 | 36 | MiniMax 2.5 full precision FP8 running LOCALLY on vLLM x 8x Pro 6000
Hosting it is easier then I thought, it just reuse the same script for M2.1.
Time to do the vibe coding test!
Generation: 70 tokens-per-sec and 122 tokens-per-sec for two conneciton
Peak Memory: 728GB
https://preview.redd.it/o66j8wb57a... | 2026-02-13T16:25:08 | https://www.reddit.com/r/LocalLLaMA/comments/1r3toe5/minimax_25_full_precision_fp8_running_locally_on/ | cyysky | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3toe5 | false | null | t3_1r3toe5 | /r/LocalLLaMA/comments/1r3toe5/minimax_25_full_precision_fp8_running_locally_on/ | false | false | 36 | null | |
Guidance on how to get started with LLM Inference | 0 | Hi everyone ,
I’m looking to get started with **LLM inference,**specifically hands-on experiments and learning optimization techniques. Does anyone have recommendations on where to begin or good resources/platforms to use?
I currently have an M3 MacBook Air, but I’m open to using free GPU-based instances online if av... | 2026-02-13T16:12:11 | https://www.reddit.com/r/LocalLLaMA/comments/1r3tbfy/guidance_on_how_to_get_started_with_llm_inference/ | No-Research-6109 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3tbfy | false | null | t3_1r3tbfy | /r/LocalLLaMA/comments/1r3tbfy/guidance_on_how_to_get_started_with_llm_inference/ | false | false | self | 0 | null |
Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy | 212 | Nvidia developed a new technique called Dynamic Memory Sparsification (DMS) that vastly improves how LLMs manage their KV cache during inference. It accomplishes this by retrofitting existing models so that the attention layers output a **learned keep or evict** signal for each token in the KV cache.
In addition,... | 2026-02-13T16:09:31 | https://www.reddit.com/r/LocalLLaMA/comments/1r3t8ro/nvidias_new_technique_cuts_llm_reasoning_costs_by/ | Mission-Street4214 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3t8ro | false | null | t3_1r3t8ro | /r/LocalLLaMA/comments/1r3t8ro/nvidias_new_technique_cuts_llm_reasoning_costs_by/ | false | false | self | 212 | null |
AMA with MiniMax — Ask Us Anything! | 237 | Hi [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/)! We’re really excited to be here, thanks for having us.
We're MiniMax, the lab behind:
* [MiniMax-M2](https://x.com/MiniMax__AI/status/1982674798649160175?s=20).5
* [Hailuo](https://x.com/Hailuo_AI/status/1983382728343994414)
* [MiniMax Speech](https://x.com/Hai... | 2026-02-13T16:07:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r3t775/ama_with_minimax_ask_us_anything/ | HardToVary | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3t775 | false | null | t3_1r3t775 | /r/LocalLLaMA/comments/1r3t775/ama_with_minimax_ask_us_anything/ | false | true | 237 | null | |
MiniMax M2.5 is coming! AMA !!! | 1 | [removed] | 2026-02-13T15:56:43 | https://www.reddit.com/r/LocalLLaMA/comments/1r3svw4/minimax_m25_is_coming_ama/ | ryan85127704 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3svw4 | false | null | t3_1r3svw4 | /r/LocalLLaMA/comments/1r3svw4/minimax_m25_is_coming_ama/ | false | false | 1 | null | |
Koboldcpp - What is this weirdness I am experiencing. Double contexting | 0 | So I'm trying to use Gemma 3 27b to parse a 300 page manual. When I first loaded it up and parsed it, I had accidentally set the context size to 64k. It takes about 10m to get my first response from the model, and that first response eats up about 50k context.
That's fine, so I relaunch kcpp with the full 128k context... | 2026-02-13T15:56:32 | https://www.reddit.com/r/LocalLLaMA/comments/1r3svpm/koboldcpp_what_is_this_weirdness_i_am/ | wh33t | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3svpm | false | null | t3_1r3svpm | /r/LocalLLaMA/comments/1r3svpm/koboldcpp_what_is_this_weirdness_i_am/ | false | false | self | 0 | null |
Training a local model on Cartoon like functional emotive states, for TUIs and GUIs... | 5 | We're building a TUI (terminal UI) that uses a cartoon animal mascot with different expressions that change based on what the app is doing. Think Duolingo owl vibes but for a CLI tool.
The character needs to be consistent across 26 different expression states - not just basic emotions but functional states like "inves... | 2026-02-13T15:43:57 | https://www.reddit.com/gallery/1r3sjm8 | entheosoul | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r3sjm8 | false | null | t3_1r3sjm8 | /r/LocalLLaMA/comments/1r3sjm8/training_a_local_model_on_cartoon_like_functional/ | false | false | 5 | null | |
Did GLM-5 just admit it's a Gemini 1.5 Pro wrapper? 💀 Strange interaction... | 0 | 2026-02-13T15:34:55 | https://www.reddit.com/r/LocalLLaMA/comments/1r3sb6n/did_glm5_just_admit_its_a_gemini_15_pro_wrapper/ | xthestickx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3sb6n | false | null | t3_1r3sb6n | /r/LocalLLaMA/comments/1r3sb6n/did_glm5_just_admit_its_a_gemini_15_pro_wrapper/ | false | false | 0 | null | ||
Is MiniMax M2.5 the best coding model in the world? | 2 | I think there's a good argument that MiniMax M2.5 is the best overall model for coding available anywhere. Depending on workload, code generation capability is somewhere between recent Sonnet and Opus. It's also fast, small, and now open weight. It's also very cheap - basically free if you self-host, or almost free wit... | 2026-02-13T15:32:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r3s8mq/is_minimax_m25_the_best_coding_model_in_the_world/ | TrajansRow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3s8mq | false | null | t3_1r3s8mq | /r/LocalLLaMA/comments/1r3s8mq/is_minimax_m25_the_best_coding_model_in_the_world/ | false | false | self | 2 | null |
Looking for BYOM-focused beta users to stress-test my RAG system (free Pro for 1 month) | 0 | I’m building a RAG system that is designed around BYOM first. You can plug in your own self-hosted models instead of being locked into platform defaults. This is not a ChatGPT wrapper and not aimed at prompt-only workflows.
I’m looking for people who already run local or self-hosted models and want a cleaner way to te... | 2026-02-13T15:23:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r3s0ed/looking_for_byomfocused_beta_users_to_stresstest/ | proxima_centauri05 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3s0ed | false | null | t3_1r3s0ed | /r/LocalLLaMA/comments/1r3s0ed/looking_for_byomfocused_beta_users_to_stresstest/ | false | false | self | 0 | null |
DeepSeek coder v2 o qwen 3.0 coder 30b | 0 | Which of these is better? I want to have it coding software with Pronta, i.e., Vibecoding, but I want it to code and then, after finishing, perform the necessary tests. Which of these is the best? | 2026-02-13T15:19:18 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rwda/deepseek_coder_v2_o_qwen_30_coder_30b/ | Narrow-Life3603 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rwda | false | null | t3_1r3rwda | /r/LocalLLaMA/comments/1r3rwda/deepseek_coder_v2_o_qwen_30_coder_30b/ | false | false | self | 0 | null |
New attention window, retro fit old models 8x better. | 0 | Read this this morning. Sounds cool, not an expert but it sounds like we would not have have huge context in gb to process, speeding up the model? And works on any model so we don't have to wait for a model trained either it.
Please let me know how wrong I am in comments lol.
https://venturebeat.com/orchestration/nvi... | 2026-02-13T15:14:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rsea/new_attention_window_retro_fit_old_models_8x/ | mindwip | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rsea | false | null | t3_1r3rsea | /r/LocalLLaMA/comments/1r3rsea/new_attention_window_retro_fit_old_models_8x/ | false | false | self | 0 | null |
3 weeks with OpenClaw as daily driver - what worked, what broke | 0 | Been running OpenClaw for about 3 weeks now as my daily driver. Figured I'd share what actually works, what broke, and the patterns that emerged.
**Setup:**
- AWS VPS (t3.medium, 40GB disk)
- Claude via Anthropic API (mix of Haiku for cheap tasks, Sonnet and Opus for complex stuff)
- WhatsApp + Telegram as interfaces
... | 2026-02-13T15:10:31 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ro5h/3_weeks_with_openclaw_as_daily_driver_what_worked/ | justserg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ro5h | false | null | t3_1r3ro5h | /r/LocalLLaMA/comments/1r3ro5h/3_weeks_with_openclaw_as_daily_driver_what_worked/ | false | false | self | 0 | null |
I built an open-source memory layer for local AI agents — SQLite-based, zero config, privacy-first | 0 | I've been running local models with Claude Code and kept hitting the same problem: every session starts from scratch. The agent forgets everything. Context windows compress, conversations end, knowledge is gone.
So I built Engram — a persistent memory layer for AI agents.
What it does:
Store, search, and recall me... | 2026-02-13T15:06:10 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rk0e/i_built_an_opensource_memory_layer_for_local_ai/ | WayTop7407 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rk0e | false | null | t3_1r3rk0e | /r/LocalLLaMA/comments/1r3rk0e/i_built_an_opensource_memory_layer_for_local_ai/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'zKmQdumPDmmjFM3ad3aWQn19p4_jRPvry5CDa4cpd-M', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/zKmQdumPDmmjFM3ad3aWQn19p4_jRPvry5CDa4cpd-M.png?width=108&crop=smart&auto=webp&s=763bb6ef5f68284feeb4648ce17bc96274efff4a', 'width': 108}, {'height': 108, 'url': 'h... |
we integrated, benchmarked, and optimized agents skills in the hugging face kernels library | 2 | hey, I'm ben from HF.
tl;dr: We built an agent skill that teaches coding agents how to write production CUDA kernels. Then we pointed Claude and Codex at two real targets: a **diffusers** pipeline and a **transformers** model. The agents produced working kernels for both, with correct PyTorch bindings and benchmar... | 2026-02-13T15:05:11 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rj3t/we_integrated_benchmarked_and_optimized_agents/ | Zealousideal-Cut590 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rj3t | false | null | t3_1r3rj3t | /r/LocalLLaMA/comments/1r3rj3t/we_integrated_benchmarked_and_optimized_agents/ | false | false | self | 2 | null |
Nvidia Tesla P40 + RTX 5060 TI 16GB (FRANKENSTEIN IS ALIVE!) | 6 | [nvidia-smi](https://preview.redd.it/h6jt10wpy9jg1.png?width=845&format=png&auto=webp&s=3e14c19da7d95637c18e559583d1b55573ae960a)
Wanted to share how I finally made it to work (no testing was performed so far but drivers and nvidia-smi recognizes them together, finally).
I am running this setup on a Lenovo P920, D... | 2026-02-13T15:03:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rhru/nvidia_tesla_p40_rtx_5060_ti_16gb_frankenstein_is/ | iampoorandsad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rhru | false | null | t3_1r3rhru | /r/LocalLLaMA/comments/1r3rhru/nvidia_tesla_p40_rtx_5060_ti_16gb_frankenstein_is/ | false | false | 6 | null | |
whisper.cpp + llama.cpp in a desktop app — local voice-to-text with LLM text cleanup | 5 | Found a cool use case for local inference that isn't chatbots: voice-to-text with LLM-powered text formatting.
MumbleFlow uses whisper.cpp for speech recognition and llama.cpp for text cleanup (punctuation, grammar, filler word removal). Everything runs locally — Tauri 2.0 + Rust shell, \~50MB RAM.
What's interesting... | 2026-02-13T15:01:42 | https://www.reddit.com/r/LocalLLaMA/comments/1r3rfoh/whispercpp_llamacpp_in_a_desktop_app_local/ | MedicineTop5805 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3rfoh | false | null | t3_1r3rfoh | /r/LocalLLaMA/comments/1r3rfoh/whispercpp_llamacpp_in_a_desktop_app_local/ | false | false | self | 5 | null |
I created OpenFlow - A Linux-native dictation app that actually works on Wayland | 3 | I spent quite a lot of time trying to find a dictation app for Linux that met the following criteria:
* Local ASR (no cloud)
* Free and open source
* Easy to install
* Automatic paste injection and clipboard preservation on Wayland compositors
I tried a couple different projects that looked promising, but found that ... | 2026-02-13T14:55:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r3r9mx/i_created_openflow_a_linuxnative_dictation_app/ | logabell | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3r9mx | false | null | t3_1r3r9mx | /r/LocalLLaMA/comments/1r3r9mx/i_created_openflow_a_linuxnative_dictation_app/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'PwE0vyJ20MBFMb9PZmH7spccfpcfkGKVH48h0Kf82kE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/PwE0vyJ20MBFMb9PZmH7spccfpcfkGKVH48h0Kf82kE.png?width=108&crop=smart&auto=webp&s=45ca260d3b0f5c8602a8bdf60f3daed778ded08b', 'width': 108}, {'height': 108, 'url': 'h... |
Update: StepFun Team AMA postponed | 1 | [removed] | 2026-02-13T14:50:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r3r5qz/update_stepfun_team_ama_postponed/ | Abject-Ranger4363 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3r5qz | false | null | t3_1r3r5qz | /r/LocalLLaMA/comments/1r3r5qz/update_stepfun_team_ama_postponed/ | false | false | self | 1 | null |
Z-ai Coding Plan Usage Break-Down (for those who are curious) | 7 | Z-ai isn't exactly the best at describing what their usage limits look like, so I thought I'd share this. (In case any of you were curious)
https://preview.redd.it/4l4tuknjy9jg1.png?width=3532&format=png&auto=webp&s=a52c0c67a5cbc0aeeaafd7036f131c116b546e43 | 2026-02-13T14:48:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r3r3kh/zai_coding_plan_usage_breakdown_for_those_who_are/ | akumaburn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3r3kh | false | null | t3_1r3r3kh | /r/LocalLLaMA/comments/1r3r3kh/zai_coding_plan_usage_breakdown_for_those_who_are/ | false | false | 7 | null | |
Make a SVG of a Pelican riding a bicycle - Small MoE edition. | 43 | 2026-02-13T14:48:21 | https://www.reddit.com/gallery/1r3r3bt | JLeonsarmiento | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r3r3bt | false | null | t3_1r3r3bt | /r/LocalLLaMA/comments/1r3r3bt/make_a_svg_of_a_pelican_riding_a_bicycle_small/ | false | false | 43 | null | ||
[Update] StepFun Team AMA Postponed | 1 | [removed] | 2026-02-13T14:47:44 | https://www.reddit.com/r/LocalLLaMA/comments/1r3r2rs/update_stepfun_team_ama_postponed/ | StepFun_ai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3r2rs | false | null | t3_1r3r2rs | /r/LocalLLaMA/comments/1r3r2rs/update_stepfun_team_ama_postponed/ | false | false | self | 1 | null |
It looks like deep seek v4 full wont come out today but hopefully soon | 2 | I hope they release the weights of v4 full and lite soon … V4/3.3 lite is already on the web and will probably come out before Tuesday, but v4 full might come out later or the same time as lite .. | 2026-02-13T14:42:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r3qya2/it_looks_like_deep_seek_v4_full_wont_come_out/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3qya2 | false | null | t3_1r3qya2 | /r/LocalLLaMA/comments/1r3qya2/it_looks_like_deep_seek_v4_full_wont_come_out/ | false | false | self | 2 | null |
oMLX - open-source MLX inference server with paged SSD caching for Apple Silicon | 51 | Hey everyone, I know things are buzzing with the MiniMax and GLM releases right now, so I'm not sure if today is the best day to post this - but I wanted to share something I've been working on and I'm genuinely proud of.
Whether you love or hate Ollama, we all know what it is. Setting aside the technical debates, I t... | 2026-02-13T14:41:23 | cryingneko | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3qwyi | false | null | t3_1r3qwyi | /r/LocalLLaMA/comments/1r3qwyi/omlx_opensource_mlx_inference_server_with_paged/ | false | false | default | 51 | {'enabled': True, 'images': [{'id': 'gy8epdcex9jg1', 'resolutions': [{'height': 84, 'url': 'https://preview.redd.it/gy8epdcex9jg1.png?width=108&crop=smart&auto=webp&s=4b7d37093c3aebd973279aa17a19a6281e7581db', 'width': 108}, {'height': 169, 'url': 'https://preview.redd.it/gy8epdcex9jg1.png?width=216&crop=smart&auto=web... | |
ELO leaderboard for LLMs playing games (non-thinking only): Llama vs Mistral vs Claude vs Gemini [4200+ matches] | 0 | We built a platform where **humans play strategy games against LLMs**, using an ELO system to rank them (like LMSYS but for gameplay).
**The key rule: non-thinking models only.** All models play in instant response mode - no chain-of-thought, no extended reasoning, no compute-heavy thinking chains. We test... | 2026-02-13T14:29:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r3qm9u/elo_leaderboard_for_llms_playing_games/ | stef_1982 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3qm9u | false | null | t3_1r3qm9u | /r/LocalLLaMA/comments/1r3qm9u/elo_leaderboard_for_llms_playing_games/ | false | false | self | 0 | null |
MiniMax-M2.5 Comparison with Previous Versions and Competitors | 0 | MiniMax-M2.5 emerges as a highly competitive and specialized model, particularly strong in agentic and coding applications, offering exceptional efficiency and performance that rivals leading proprietary models while aiming to make frontier AI capabilities more accessible and cost-effective.
Source from: [https://atom... | 2026-02-13T14:28:41 | Dilligentslave | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3qlm5 | false | null | t3_1r3qlm5 | /r/LocalLLaMA/comments/1r3qlm5/minimaxm25_comparison_with_previous_versions_and/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'eos7roq0v9jg1', 'resolutions': [{'height': 37, 'url': 'https://preview.redd.it/eos7roq0v9jg1.png?width=108&crop=smart&auto=webp&s=32a02f65ebbc6f7ff214bc3b0a7842c00860133c', 'width': 108}, {'height': 75, 'url': 'https://preview.redd.it/eos7roq0v9jg1.png?width=216&crop=smart&auto=webp... | |
Minimax M2.5! | 8 | [https://huggingface.co/MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) | 2026-02-13T14:27:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r3qkl7/minimax_m25/ | BroQuant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3qkl7 | false | null | t3_1r3qkl7 | /r/LocalLLaMA/comments/1r3qkl7/minimax_m25/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg.png?width=108&crop=smart&auto=webp&s=64033d5fe6d12704ac16ef5f9a5d936f02f22066', 'width': 108}, {'height': 116, 'url': 'h... |
Help me decide: shall I keep the A770? | 1 | So I got my hands on a new Intel Arc A770 for cheap and have thrown it into my small homelab server with 48 GB of DRAM and a Ryzen 5950X. I've setup a the ipex-llm docker container with ollama and openweb UI, and I'm achieving:
* mistral-nemo:12b = 35-40 token/s
* qwen3:14b = 25-35 token/s
The performance seems reaso... | 2026-02-13T14:16:10 | Luxkeiwoker | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3qamj | false | null | t3_1r3qamj | /r/LocalLLaMA/comments/1r3qamj/help_me_decide_shall_i_keep_the_a770/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'ivi10izmq9jg1', 'resolutions': [{'height': 136, 'url': 'https://preview.redd.it/ivi10izmq9jg1.png?width=108&crop=smart&auto=webp&s=d97bea196689cdefcd0caddc0a301d5a8e855564', 'width': 108}, {'height': 273, 'url': 'https://preview.redd.it/ivi10izmq9jg1.png?width=216&crop=smart&auto=we... | |
MiniMaxAI/MiniMax-M2.5 · Hugging Face | 4 | 2026-02-13T14:08:05 | https://huggingface.co/MiniMaxAI/MiniMax-M2.5 | coder543 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1r3q3jz | false | null | t3_1r3q3jz | /r/LocalLLaMA/comments/1r3q3jz/minimaxaiminimaxm25_hugging_face/ | false | false | 4 | {'enabled': False, 'images': [{'id': 'U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg.png?width=108&crop=smart&auto=webp&s=64033d5fe6d12704ac16ef5f9a5d936f02f22066', 'width': 108}, {'height': 116, 'url': 'h... | ||
https://huggingface.co/MiniMaxAI/MiniMax-M2.5/tree/main | 13 | [https://huggingface.co/MiniMaxAI/MiniMax-M2.5/tree/main](https://huggingface.co/MiniMaxAI/MiniMax-M2.5/tree/main)
quants are here | 2026-02-13T14:05:44 | https://www.reddit.com/r/LocalLLaMA/comments/1r3q1h7/httpshuggingfacecominimaxaiminimaxm25treemain/ | Remarkable_Jicama775 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3q1h7 | false | null | t3_1r3q1h7 | /r/LocalLLaMA/comments/1r3q1h7/httpshuggingfacecominimaxaiminimaxm25treemain/ | false | false | self | 13 | {'enabled': False, 'images': [{'id': 'U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg.png?width=108&crop=smart&auto=webp&s=64033d5fe6d12704ac16ef5f9a5d936f02f22066', 'width': 108}, {'height': 116, 'url': 'h... |
llama.cpp llama-server running SSM models VRAM fix merged | 37 | During my time fixing the Kimi Linear server bug reported by u/Lord_Pazzu, I discovered that running llama-server running SSM hybrid models in general uses KV cache that is multiple of the number of parallel threads (--parallel), so for example, if you run Nemotron 3 Nano at 1M context and --parallel 8, then it would u... | 2026-02-13T14:04:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r3q0qb/llamacpp_llamaserver_running_ssm_models_vram_fix/ | Ok_Warning2146 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3q0qb | false | null | t3_1r3q0qb | /r/LocalLLaMA/comments/1r3q0qb/llamacpp_llamaserver_running_ssm_models_vram_fix/ | false | false | self | 37 | {'enabled': False, 'images': [{'id': 'pUPWbvtSSDzB-apAqTRxPHj9v8O5yyd_C76fcP2F8a8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pUPWbvtSSDzB-apAqTRxPHj9v8O5yyd_C76fcP2F8a8.png?width=108&crop=smart&auto=webp&s=af143f62e464f520cb509a294ae184017487193d', 'width': 108}, {'height': 108, 'url': 'h... |
MiniMaxAI/MiniMax-M2.5 · Hugging Face | 386 | Published an hour ago, how is there no post yet?!
No quants yet. | 2026-02-13T14:01:52 | https://huggingface.co/MiniMaxAI/MiniMax-M2.5 | rerri | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1r3pxy7 | false | null | t3_1r3pxy7 | /r/LocalLLaMA/comments/1r3pxy7/minimaxaiminimaxm25_hugging_face/ | false | false | default | 386 | {'enabled': False, 'images': [{'id': 'U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/U31ABjps-QUJnQnBzpD57R8aGaCakUKOyzXjWrvNYSg.png?width=108&crop=smart&auto=webp&s=64033d5fe6d12704ac16ef5f9a5d936f02f22066', 'width': 108}, {'height': 116, 'url': 'h... |
Old mining rig → AI money machine? Need advice on 7-GPU setup (74GB VRAM) | 0 | Hey everyone,
Got an old mining rig sitting overseas that I want to turn into something useful. Control it remotely via Tailscale.
\*\*The rig as it sits now:\*\*
\- 2x RTX 3080 10GB
\- 3x RTX 3060 10GB
\- 2x RTX 3060 12GB
\- 74GB VRAM total
\- MSI Z490-A PRO
\- Celeron G5905 + 4GB RAM (upgrading to i5-11400 + ... | 2026-02-13T14:00:26 | https://www.reddit.com/r/LocalLLaMA/comments/1r3pwh3/old_mining_rig_ai_money_machine_need_advice_on/ | Ok-Positive1446 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3pwh3 | false | null | t3_1r3pwh3 | /r/LocalLLaMA/comments/1r3pwh3/old_mining_rig_ai_money_machine_need_advice_on/ | false | false | self | 0 | null |
Is renting GPU the same quality wise? | 1 | A newbie question.
I've seen it’s possible to rent high end GPUs to run models.
When doing this, do I rent only the GPU or also the CPU, RAM, storage, etc?
And is the performance and output quality the same when renting hardware online compared to running the same setup on a physical setup? | 2026-02-13T13:57:37 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ptw8/is_renting_gpu_the_same_quality_wise/ | TheRealistDude | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ptw8 | false | null | t3_1r3ptw8 | /r/LocalLLaMA/comments/1r3ptw8/is_renting_gpu_the_same_quality_wise/ | false | false | self | 1 | null |
I got tired of on-device LLMs crashing my mobile apps, so I built a "Managed" runtime (14k LOC) | 0 | I have played around with loads of on-device AI demo for 30 sec they look mesmerising, then the phone turns into a heater and the OS kilss the app dies to memory spikes .
Spent last few months building **Edge-Veda**. I's not just another wrapper; its a supervised runtime that treats LLMs like prod workloads.
Whats in... | 2026-02-13T13:36:58 | https://www.reddit.com/r/LocalLLaMA/comments/1r3pcj5/i_got_tired_of_ondevice_llms_crashing_my_mobile/ | Mundane-Tea-3488 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3pcj5 | false | null | t3_1r3pcj5 | /r/LocalLLaMA/comments/1r3pcj5/i_got_tired_of_ondevice_llms_crashing_my_mobile/ | false | false | self | 0 | null |
F5 F5 F5 | 0 | Patience... | 2026-02-13T13:28:02 | Then-Topic8766 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3p5a8 | false | null | t3_1r3p5a8 | /r/LocalLLaMA/comments/1r3p5a8/f5_f5_f5/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 's7de7ku3k9jg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/s7de7ku3k9jg1.png?width=108&crop=smart&auto=webp&s=15cd238122aa88bc360c6df43eab7310aa70f53a', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/s7de7ku3k9jg1.png?width=216&crop=smart&auto=web... | |
What is the most efficient local setup to "watch" a video? | 3 | By "watching" a video, I mostly mean looking through most of the frames, extract the gist of the video as well as scene by scene breakdown, extract the audio transcript, line up scenes with speech, and come up with a coherent TLDR of the video.
I can think of how to do the individual steps: keyframe extraction + VLM p... | 2026-02-13T13:26:14 | https://www.reddit.com/r/LocalLLaMA/comments/1r3p3u0/what_is_the_most_efficient_local_setup_to_watch_a/ | aeroumbria | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3p3u0 | false | null | t3_1r3p3u0 | /r/LocalLLaMA/comments/1r3p3u0/what_is_the_most_efficient_local_setup_to_watch_a/ | false | false | self | 3 | null |
Do you still use MCP? Or use SKILLS ? | 0 | I moved almost everything to SKILLS, I don't need always-on connection to a remote server, and i vibecoded CLI + TOKEN to use as tools recalled by skills (that i share in opencode/openclaw). What about you? Do you really need MCP ? | 2026-02-13T13:25:33 | https://www.reddit.com/r/LocalLLaMA/comments/1r3p394/do_you_still_use_mcp_or_use_skills/ | Deep_Traffic_7873 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3p394 | false | null | t3_1r3p394 | /r/LocalLLaMA/comments/1r3p394/do_you_still_use_mcp_or_use_skills/ | false | false | self | 0 | null |
what's ‘the’ workflow for browser automation in 2026? | 1 | I've tested browser automation approaches previously and have played around with a few tools but, but I'm trying to figure out what actually works in production (or at least the most reliably) in 2026.
Tried Browser Use a while back and was initially super impressed but hit reliability issues when I tried to run stuff... | 2026-02-13T13:16:21 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ovso/whats_the_workflow_for_browser_automation_in_2026/ | Dangerous_Fix_751 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ovso | false | null | t3_1r3ovso | /r/LocalLLaMA/comments/1r3ovso/whats_the_workflow_for_browser_automation_in_2026/ | false | false | self | 1 | null |
Running a local model | 1 | Hi, I am struggling to get openclaw to access my local llama which is running fine on my Mac mini m4. My openclaw seems incapable of resolving. Does anyone have a working config. I want to run some cron jobs locally but don’t need an expensive remote model to execute. | 2026-02-13T13:15:19 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ouxj/running_a_local_model/ | delacroix1966 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ouxj | false | null | t3_1r3ouxj | /r/LocalLLaMA/comments/1r3ouxj/running_a_local_model/ | false | false | self | 1 | null |
Hidden use-case confessions, I'll start: Local model generates a believable subreddit community dedicated to my ludicrously specific (harmless but shameful) kink, browse by text, interact with community, etc. C'mon what creative uses of the ultimate technology have you been too shy to share?! | 1 | [removed] | 2026-02-13T13:08:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r3oprn/hidden_usecase_confessions_ill_start_local_model/ | Working-week-notmuch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3oprn | false | null | t3_1r3oprn | /r/LocalLLaMA/comments/1r3oprn/hidden_usecase_confessions_ill_start_local_model/ | false | false | nsfw | 1 | null |
GLM 5 has a regression in international language writing according to NCBench | 36 | This surprised me but also confirmed my poor first impression of it, since I happened to use it for text generation in a less common language and it performed very poorly, barely even like the aging Gemini 2.5 Flash and more like a good 70B Llama 3.x model.
At NCBench - Language Writing, it trails GLM 4.5-4.7 by quite... | 2026-02-13T12:49:51 | https://www.nc-bench.com/tests/language-writing | jugalator | nc-bench.com | 1970-01-01T00:00:00 | 0 | {} | 1r3ob0r | false | null | t3_1r3ob0r | /r/LocalLLaMA/comments/1r3ob0r/glm_5_has_a_regression_in_international_language/ | false | false | default | 36 | null |
New DeepSeek update: "DeepSeek Web / APP is currently testing a new long-context model architecture, supporting a 1M context window." | 123 | From AiBattle on 𝕏: [https://x.com/AiBattle\_/status/2022280288643039235](https://x.com/AiBattle_/status/2022280288643039235) | 2026-02-13T12:43:50 | Nunki08 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r3o6je | false | null | t3_1r3o6je | /r/LocalLLaMA/comments/1r3o6je/new_deepseek_update_deepseek_web_app_is_currently/ | false | false | default | 123 | {'enabled': True, 'images': [{'id': 'dg94ujw1c9jg1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/dg94ujw1c9jg1.jpeg?width=108&crop=smart&auto=webp&s=0d518b5139a43db3409ccf6a618445c6154e3b42', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/dg94ujw1c9jg1.jpeg?width=216&crop=smart&auto=... | |
A Call to Engineers | 0 | Ex-OpenAI Cognitive Mind behind 4o is looking for an engineer to set up a new API...
[https://x.com/Esmeral64216230/status/2022284518971826616?s=20](https://x.com/Esmeral64216230/status/2022284518971826616?s=20) | 2026-02-13T12:43:09 | https://www.reddit.com/r/LocalLLaMA/comments/1r3o631/a_call_to_engineers/ | ENTERMOTHERCODE | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3o631 | false | null | t3_1r3o631 | /r/LocalLLaMA/comments/1r3o631/a_call_to_engineers/ | false | false | self | 0 | null |
Small, fast Moderation model for German text | 1 | [removed] | 2026-02-13T12:29:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r3nw7c/small_fast_moderation_model_for_german_text/ | Ok_Hold_5385 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3nw7c | false | null | t3_1r3nw7c | /r/LocalLLaMA/comments/1r3nw7c/small_fast_moderation_model_for_german_text/ | false | false | self | 1 | null |
Deepseek announced they are testing a new model. | 60 | 2026-02-13T12:25:39 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ntgi/deepseek_announced_they_are_testing_a_new_model/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ntgi | false | null | t3_1r3ntgi | /r/LocalLLaMA/comments/1r3ntgi/deepseek_announced_they_are_testing_a_new_model/ | false | false | 60 | null | ||
Small, fast Moderation and Toxicity Detection model for German text | 1 | [removed] | 2026-02-13T12:25:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r3ntdy/small_fast_moderation_and_toxicity_detection/ | Ok_Hold_5385 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3ntdy | false | null | t3_1r3ntdy | /r/LocalLLaMA/comments/1r3ntdy/small_fast_moderation_and_toxicity_detection/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'zZ4EAf9ECaK9Csw3GEJCLkb-qDDV9Dcy_De6nJpN9SM', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/zZ4EAf9ECaK9Csw3GEJCLkb-qDDV9Dcy_De6nJpN9SM.png?width=108&crop=smart&auto=webp&s=dd4dd64d44df56c4458e98207b9dfae0fb159b8c', 'width': 108}, {'height': 116, 'url': 'h... |
Small, fast Moderation and Toxicity Detection model for German text | 1 | [removed] | 2026-02-13T12:22:15 | https://www.reddit.com/r/LocalLLaMA/comments/1r3nr2a/small_fast_moderation_and_toxicity_detection/ | Ok_Hold_5385 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r3nr2a | false | null | t3_1r3nr2a | /r/LocalLLaMA/comments/1r3nr2a/small_fast_moderation_and_toxicity_detection/ | false | false | self | 1 | null |
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