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I benchmarked the newest 40 AI models (Feb 2026) | 0 | Everyone is talking about the viral Kimi k2.5 and Claude Opus 4.6 right now. But while the world was watching the giants, I spent the last week benchmarking 40 of the newest models on the market to see what's actually happening with Price vs. Performance.
**The TL;DR:** The market has split into two extremes. "Mid-ran... | 2026-02-10T15:48:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r14bqk/i_benchmarked_the_newest_40_ai_models_feb_2026/ | Vilxs2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r14bqk | false | null | t3_1r14bqk | /r/LocalLLaMA/comments/1r14bqk/i_benchmarked_the_newest_40_ai_models_feb_2026/ | false | false | 0 | null | |
OpenClaw is popping up on cheap VPSs. What do you think of a more secure setup? | 0 | Over the last week I’ve been watching people deploy OpenClaw in *very* different ways.
On one side, **Cloudflare** quietly shipped a pretty solid open source setup ([motlworker](https://github.com/cloudflare/moltworker)): isolated, secure environments where you can deploy OpenClaw without thinking too much about infra... | 2026-02-10T15:41:18 | AmineAfia | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r144p0 | false | null | t3_1r144p0 | /r/LocalLLaMA/comments/1r144p0/openclaw_is_popping_up_on_cheap_vpss_what_do_you/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'zqluisxzqoig1', 'resolutions': [{'height': 79, 'url': 'https://preview.redd.it/zqluisxzqoig1.png?width=108&crop=smart&auto=webp&s=fe105cdd546a685d9414ea0b1e90a5227f973d04', 'width': 108}, {'height': 158, 'url': 'https://preview.redd.it/zqluisxzqoig1.png?width=216&crop=smart&auto=web... | ||
I built a local-first AI chat with autonomous memory and knowledge graphs - looking for feedback | 3 | I have been building this project for a while and it just hit a point where I want other people to try it and tell me what is missing, what is broken, and what would make it actually useful for them.
It is called Atlas. It is a personal AI chat app that runs on your machine and connects to whatever LLM provider you wa... | 2026-02-10T15:29:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r13tm8/i_built_a_localfirst_ai_chat_with_autonomous/ | EchoOfIntent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13tm8 | false | null | t3_1r13tm8 | /r/LocalLLaMA/comments/1r13tm8/i_built_a_localfirst_ai_chat_with_autonomous/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'EYQCjqTJjkmfieYYPCQKPjNzgS62K2X04KeHHZ8RDPw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/EYQCjqTJjkmfieYYPCQKPjNzgS62K2X04KeHHZ8RDPw.png?width=108&crop=smart&auto=webp&s=860bf037cda48b802d17cd190dab6f55c09a8576', 'width': 108}, {'height': 108, 'url': 'h... |
MLX Omni Engine | 9 | Hello, I wanted to share a project I'm working on that attempts to extend LM Studio's MLX engine to support running embedding models, audio models, and hopefully eventually real-time audio models like Moshi.
The idea is that the engine can be started up and then connected to any compatible client via its Ollama or Ant... | 2026-02-10T15:26:31 | https://www.reddit.com/r/LocalLLaMA/comments/1r13qb2/mlx_omni_engine/ | Fast_Ferret4607 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13qb2 | false | null | t3_1r13qb2 | /r/LocalLLaMA/comments/1r13qb2/mlx_omni_engine/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'UIi36axOLdKw8NaqBJFT2dcODsc48eZM9xgZJpwk_R0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/UIi36axOLdKw8NaqBJFT2dcODsc48eZM9xgZJpwk_R0.png?width=108&crop=smart&auto=webp&s=f73a71a72c473f485497f80a44bdf64216056e72', 'width': 108}, {'height': 108, 'url': 'h... |
Built a "hello world" for AI agent payments - one command to see a real USDC micropayment | 0 | Just shipped a simple demo that shows an AI agent paying for an API using x402 (HTTP 402 Payment Required).
Try it:
npx x402-hello --new-wallet
\# Fund wallet with \~$0.01 USDC + 0.01 SOL
WALLET\_KEY="\[...\]" npx x402-hello
What happens:
1. Agent requests paid API → gets 402 with payment requirements... | 2026-02-10T15:26:03 | https://www.reddit.com/r/LocalLLaMA/comments/1r13pus/built_a_hello_world_for_ai_agent_payments_one/ | BLubClub89 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13pus | false | null | t3_1r13pus | /r/LocalLLaMA/comments/1r13pus/built_a_hello_world_for_ai_agent_payments_one/ | false | false | self | 0 | null |
Kimi is so smart | 289 | 2026-02-10T15:22:13 | https://www.reddit.com/r/LocalLLaMA/comments/1r13m42/kimi_is_so_smart/ | Bernice_working_girl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13m42 | false | null | t3_1r13m42 | /r/LocalLLaMA/comments/1r13m42/kimi_is_so_smart/ | false | false | 289 | null | ||
how do i dissble thinking on community version seed-oss-36b in LM studio? | 0 | for context, i've been using bytedance/seed-oss-36b in LM studio and it works fine, however it thinks by default which i don't want. There's a parameter when running the server to set thinking to 0 which does what i want.
However, i wanted to use a lower quantized model to save some VRAM and up my context length, like... | 2026-02-10T15:20:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r13ktb/how_do_i_dissble_thinking_on_community_version/ | zeronic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13ktb | false | null | t3_1r13ktb | /r/LocalLLaMA/comments/1r13ktb/how_do_i_dissble_thinking_on_community_version/ | false | false | self | 0 | null |
"How to run vLLM models locally and call them through a public API using Local Runners? | 0 | Is there a software, pipeline that run vllm e install One click
| 2026-02-10T15:17:44 | https://www.reddit.com/r/LocalLLaMA/comments/1r13ht1/how_to_run_vllm_models_locally_and_call_them/ | Quiet_Dasy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13ht1 | false | null | t3_1r13ht1 | /r/LocalLLaMA/comments/1r13ht1/how_to_run_vllm_models_locally_and_call_them/ | false | false | self | 0 | null |
Plenty of medium size(20-80B) models in last 3 months. How those works for you? | 42 | We got plenty of medium size(20-80B) models in last 3 months before upcoming models. These models are good even for 24/32GB VRAM + RAM @ Q4/Q5 with decent context.
* Devstral-Small-2-24B-Instruct-2512
* Olmo-3.1-32B
* GLM-4.7-Flash
* Nemotron-Nano-30B
* Qwen3-Coder-Next & Qwen3-Next-80B
* Kimi-Linear-48B-A3B
I think ... | 2026-02-10T15:15:17 | https://www.reddit.com/r/LocalLLaMA/comments/1r13ffw/plenty_of_medium_size2080b_models_in_last_3/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13ffw | false | null | t3_1r13ffw | /r/LocalLLaMA/comments/1r13ffw/plenty_of_medium_size2080b_models_in_last_3/ | false | false | self | 42 | null |
Seeking feedback: lightweight “change notes + metadata + diff evidence” searchable knowledge base to navigate complex HIS code paths | 1 | I’m a backend intern working on an HIS project. While learning the codebase, I’ve noticed the call chains are long and the rules are pretty complex, so I’m exploring a workflow to make changes more reusable and traceable: after each feature/bugfix, use an LLM to produce a short summary doc (what changed, scope/impact, ... | 2026-02-10T15:13:41 | https://www.reddit.com/r/LocalLLaMA/comments/1r13dxj/seeking_feedback_lightweight_change_notes/ | Brief-Entertainer427 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13dxj | false | null | t3_1r13dxj | /r/LocalLLaMA/comments/1r13dxj/seeking_feedback_lightweight_change_notes/ | false | false | self | 1 | null |
ForgeAI v0.1.0 - Desktop tool for model inspection,
merging & training (cross-platform) | 1 | [removed] | 2026-02-10T15:12:58 | https://www.reddit.com/r/LocalLLaMA/comments/1r13d8s/forgeai_v010_desktop_tool_for_model_inspection/ | DarkEngine774 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r13d8s | false | null | t3_1r13d8s | /r/LocalLLaMA/comments/1r13d8s/forgeai_v010_desktop_tool_for_model_inspection/ | false | false | self | 1 | null |
Inside the Architecture of a Pre-Configured LangChain AI Development Environment | 1 | 2026-02-10T15:12:08 | https://medium.com/@techlatest.net/inside-the-architecture-of-a-pre-configured-langchain-ai-development-environment-f360004ab535 | techlatest_net | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1r13cf0 | false | null | t3_1r13cf0 | /r/LocalLLaMA/comments/1r13cf0/inside_the_architecture_of_a_preconfigured/ | false | false | default | 1 | null | |
Built an Customized LLM with RAG for Singaporean laws and acts. | 14 | Hello everyone,
I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it.☺️
I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's publi... | 2026-02-10T15:07:50 | Fantastic_suit143 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r138bn | false | null | t3_1r138bn | /r/LocalLLaMA/comments/1r138bn/built_an_customized_llm_with_rag_for_singaporean/ | false | false | 14 | {'enabled': True, 'images': [{'id': 'M9Q6PpNSiofcWCDksH0pQ5DqxF7YPxfa7ngh34MTsuc', 'resolutions': [{'height': 47, 'url': 'https://preview.redd.it/8m300ubgnoig1.png?width=108&crop=smart&auto=webp&s=4bc6da941139acd5e0750c539138ceea674e9d74', 'width': 108}, {'height': 95, 'url': 'https://preview.redd.it/8m300ubgnoig1.png?... | ||
Recursive Data Cleaner hits v1.0 - Full generate → apply cycle | 0 | Three weeks ago I shared a tool that trades compute time for human time: point an LLM at messy data, walk away, come back to working cleaning functions.
v1.0 closes the loop. You can now apply those generated functions directly to your full dataset.
The complete workflow:
# Generate cleaning functions (go gr... | 2026-02-10T15:03:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r133vq/recursive_data_cleaner_hits_v10_full_generate/ | gaztrab | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r133vq | false | null | t3_1r133vq | /r/LocalLLaMA/comments/1r133vq/recursive_data_cleaner_hits_v10_full_generate/ | false | false | 0 | null | |
OpenResearcher | 14 | interesting project found on X, from Dongfu Jiang:
"Introducing OpenResearcher: a fully offline pipeline for synthesizing 100+ turn deep-research trajectories—no search/scrape APIs, no rate limits, no nondeterminism."
**OpenResearcher** is a fully open agentic large language model (30B-A3B) designed for **long-hor... | 2026-02-10T14:59:20 | https://www.reddit.com/r/LocalLLaMA/comments/1r1305o/openresearcher/ | jacek2023 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r1305o | false | null | t3_1r1305o | /r/LocalLLaMA/comments/1r1305o/openresearcher/ | false | false | 14 | null | |
Open source TTS w/voice cloning and multilingual translation? | 1 |
I'm getting totally lost and overwhelmed in the research and possible options, always changing and hard to keep up with.
Looking for free or open-source tools that can do two things:
1. **Voice cloning with text-to-speech** – found [this post](https://www.reddit.com/r/LocalLLaMA/comments/1f0awd6/best_local_ope... | 2026-02-10T14:58:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r12yyr/open_source_tts_wvoice_cloning_and_multilingual/ | Quiet_Dasy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r12yyr | false | null | t3_1r12yyr | /r/LocalLLaMA/comments/1r12yyr/open_source_tts_wvoice_cloning_and_multilingual/ | false | false | self | 1 | null |
My Journey Building an AI Agent Orchestrator | 0 | # 🎮 88% Success Rate with qwen2.5-coder:7b on RTX 3060 Ti - My Journey Building an AI Agent Orchestrator
**TL;DR:**
Built a tiered AI agent system where Ollama handles 88% of tasks for FREE, with automatic escalation to Claude for complex work. Includes parallel execution, automatic code reviews... | 2026-02-10T14:51:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r12sx0/my_journey_building_an_ai_agent_orchestrator/ | PuzzleheadedFail3131 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r12sx0 | false | null | t3_1r12sx0 | /r/LocalLLaMA/comments/1r12sx0/my_journey_building_an_ai_agent_orchestrator/ | false | false | self | 0 | null |
llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript | 4 | https://www.theregister.com/2026/02/08/llama3pure\_incorporates\_three\_inference\_engines/ | 2026-02-10T14:44:01 | https://www.reddit.com/r/LocalLLaMA/comments/1r12lpi/llama3pure_a_set_of_dependencyfree_inference/ | Fear_ltself | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r12lpi | false | null | t3_1r12lpi | /r/LocalLLaMA/comments/1r12lpi/llama3pure_a_set_of_dependencyfree_inference/ | false | false | self | 4 | null |
I built a TCO simulator to find the break-even point: Cloud GPU vs. Owning a cluster. Looking for feedback on my math. | 0 | Hi r/LocalLLaMA,
I've been struggling with the "Cloud vs. On-prem" decision for a while, especially for fine-tuning and 24/7 inference workloads. To make it clearer, I've been crunching numbers to see when it's actually worth buying a Mac Studio or a 4090 cluster vs. renting H100s
You can test it here: [https://axiom... | 2026-02-10T14:41:19 | https://www.reddit.com/r/LocalLLaMA/comments/1r12j7a/i_built_a_tco_simulator_to_find_the_breakeven/ | Pierre_seck_10 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r12j7a | false | null | t3_1r12j7a | /r/LocalLLaMA/comments/1r12j7a/i_built_a_tco_simulator_to_find_the_breakeven/ | false | false | self | 0 | null |
Gemini CLI Proxy now with /openai/responses: launch Codex via Gemini + new Dashboard for API keys, models, and usage statistics | 1 | We worked with openai codex to refine the original gemini-cli-proxy and added important features for real-world use in production.
**What's new:**
✅ Support for /openai/responses — now you can work with Codex via Gemini using the OpenAI-compatible API (without workarounds or separate scripts).
✅ Added a dashboar... | 2026-02-10T14:35:02 | https://www.reddit.com/r/LocalLLaMA/comments/1r12db8/gemini_cli_proxy_now_with_openairesponses_launch/ | Objective-Good310 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r12db8 | false | null | t3_1r12db8 | /r/LocalLLaMA/comments/1r12db8/gemini_cli_proxy_now_with_openairesponses_launch/ | false | false | self | 1 | null |
Knowledge Distillation for RAG (Why Ingestion Pipeline Matters More Than Retrieval Algorithm) | 3 | Been spending way too much time debugging RAG systems that "should work" but don't, and wanted to share something that's been bothering me about how we collectively approach this problem.
We obsess over retrieval algorithms (hybrid search, reranking, HyDE, query decomposition) while completely ignoring that retrieval ... | 2026-02-10T14:29:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r1285z/knowledge_distillation_for_rag_why_ingestion/ | Independent-Cost-971 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r1285z | false | null | t3_1r1285z | /r/LocalLLaMA/comments/1r1285z/knowledge_distillation_for_rag_why_ingestion/ | false | false | self | 3 | null |
Most “serverless” LLM setups aren’t actually serverless | 0 | I think we’re framing the wrong debate in LLM infra.
Everyone talks about “serverless vs pods.”
But I’m starting to think the real distinction is:
Stateless container serverless
vs
State-aware inference systems.
Most so-called serverless setups for LLMs still involve:
• Redownloading model weights
• Keeping m... | 2026-02-10T14:25:20 | https://www.reddit.com/r/LocalLLaMA/comments/1r124jz/most_serverless_llm_setups_arent_actually/ | pmv143 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r124jz | false | null | t3_1r124jz | /r/LocalLLaMA/comments/1r124jz/most_serverless_llm_setups_arent_actually/ | false | false | self | 0 | null |
Small, fast Spam Detection model designed for Spanish text | 4 | [https://huggingface.co/tanaos/tanaos-spam-detection-spanish](https://huggingface.co/tanaos/tanaos-spam-detection-spanish)
A small and fast Spam Detection model, trained on Spanish text to detect the following types of spam content:
1. Unsolicited commercial advertisement or non-commercial proselytizing.
2. Fraudulen... | 2026-02-10T14:24:03 | https://www.reddit.com/r/LocalLLaMA/comments/1r123eb/small_fast_spam_detection_model_designed_for/ | Ok_Hold_5385 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r123eb | false | null | t3_1r123eb | /r/LocalLLaMA/comments/1r123eb/small_fast_spam_detection_model_designed_for/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '4O_n5IIRWVuG8CrKpsRonwAEj09QKGVjvr_V8dEF6qw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4O_n5IIRWVuG8CrKpsRonwAEj09QKGVjvr_V8dEF6qw.png?width=108&crop=smart&auto=webp&s=90f70d8b280af31e046523ef069769c4ddd1d412', 'width': 108}, {'height': 116, 'url': 'h... |
What is your daily driver, and is it replacing commercial AI platforms ? | 1 | I use anythingllm with chroma/RAG through docker with tailscape.
Good phone UI and easy to connect to home lab. Are there better alternatives than anythingllm that you would like to share ? Things i miss is better memory. | 2026-02-10T14:21:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r120qx/what_is_your_daily_driver_and_is_it_replacing/ | StandardLovers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r120qx | false | null | t3_1r120qx | /r/LocalLLaMA/comments/1r120qx/what_is_your_daily_driver_and_is_it_replacing/ | false | false | self | 1 | null |
What tools are you using for infrence-engine benchmarking (vLLM, SGLang, llama.cpp, TensorRT-LLM)? | 2 | Hey everyone,
I’m currently deep-diving into performance optimization and want to run some head-to-head benchmarks across different serving engines. I’ve been using the [SGLang serving benchmark](https://www.google.com/url?sa=E&q=https%3A%2F%2Fdocs.sglang.io%2Fdeveloper_guide%2Fbench_serving.html) which is great, but ... | 2026-02-10T14:20:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r11zua/what_tools_are_you_using_for_infrenceengine/ | SomeRandomGuuuuuuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r11zua | false | null | t3_1r11zua | /r/LocalLLaMA/comments/1r11zua/what_tools_are_you_using_for_infrenceengine/ | false | false | self | 2 | null |
I measured the "personality" of 6 open-source LLMs (7B-9B) by probing their hidden states. Here's what I found. | 200 | LLMs have consistent personalities even when you don't ask for one. DeepSeek is the enthusiastic friend who over-explains everything. Llama is eerily neutral — 4/7 axes in the weak zone, the flattest profile. Yi is slightly cold, patient, and confident. Each model has a measurable behavioral fingerprint visible in hidd... | 2026-02-10T14:20:01 | https://www.reddit.com/r/LocalLLaMA/comments/1r11zsa/i_measured_the_personality_of_6_opensource_llms/ | yunoshev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r11zsa | false | null | t3_1r11zsa | /r/LocalLLaMA/comments/1r11zsa/i_measured_the_personality_of_6_opensource_llms/ | false | false | 200 | null | |
Small, fast Guardrail model for LLM input moderation and toxicity detection. Detects 14 types of unsafe content. | 1 | [removed] | 2026-02-10T14:16:55 | https://www.reddit.com/r/LocalLLaMA/comments/1r11x36/small_fast_guardrail_model_for_llm_input/ | Relevant_Selection75 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r11x36 | false | null | t3_1r11x36 | /r/LocalLLaMA/comments/1r11x36/small_fast_guardrail_model_for_llm_input/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'pIdMmPbaburmNRal1L-wF45yVkwFCdJYq2R8SrY5Gps', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/pIdMmPbaburmNRal1L-wF45yVkwFCdJYq2R8SrY5Gps.png?width=108&crop=smart&auto=webp&s=2eb6a213165d492c90ddf72a617f4b4f209cf2cc', 'width': 108}, {'height': 116, 'url': 'h... |
7B A1B | 3 | Why does no models in this range are truly successful? I know 1B is low but it's 7B total and yet all models I saw doing this are not very good,not well supported or both,even recent dense models (Youtu-LLM-2B,Nanbeige4-3B-Thinking-2511,Qwen3-4B-Thinking-2507) are all better despite that a 7B-A1B should behave more lik... | 2026-02-10T14:07:52 | https://www.reddit.com/r/LocalLLaMA/comments/1r11p06/7b_a1b/ | perfect-finetune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r11p06 | false | null | t3_1r11p06 | /r/LocalLLaMA/comments/1r11p06/7b_a1b/ | false | false | self | 3 | null |
My Text-to-SQL agent tried to DROP TABLE. I stopped trusting prompts and implemented a regex lock. | 1 | I work in optimization. My rule is usually heuristics first, models second.
With local Text-to-SQL, we tend to invert this. We rely on a system prompt ("Do not delete tables") to handle security.
This is dangerous as models are probabilistic. Database safety needs to be deterministic.
I implemented a `SqlJudge` in m... | 2026-02-10T14:06:13 | https://www.reddit.com/r/LocalLLaMA/comments/1r11nk5/my_texttosql_agent_tried_to_drop_table_i_stopped/ | Proud-Employ5627 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r11nk5 | false | null | t3_1r11nk5 | /r/LocalLLaMA/comments/1r11nk5/my_texttosql_agent_tried_to_drop_table_i_stopped/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'aVPMmsLTUtRr0q4ZE9N5L4pVQQYd5d_o74kH51MezIM', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/aVPMmsLTUtRr0q4ZE9N5L4pVQQYd5d_o74kH51MezIM.png?width=108&crop=smart&auto=webp&s=3e9add5a08bab7287cd6f6ffed6456555840fbfe', 'width': 108}, {'height': 216, 'url': '... |
[Open Source] Run Local Stable Diffusion on Your Devices | 0 | Source Code : [KMP-MineStableDiffusion](https://github.com/Onion99/KMP-MineStableDiffusion) | 2026-02-10T13:54:14 | https://v.redd.it/znsht057aoig1 | Adventurous_Onion189 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r11cee | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/znsht057aoig1/DASHPlaylist.mpd?a=1773323669%2CNDZjYWQ5YjJiZDM4OWZlOTBlZmEwZmY3Zjg2YTRmYmU2ZjdhMTU2ZjFjOTE2MmY4ODM1YTY5ZGEyYzIwZDlmNg%3D%3D&v=1&f=sd', 'duration': 114, 'fallback_url': 'https://v.redd.it/znsht057aoig1/CMAF_480.mp4?source=fallback', 'h... | t3_1r11cee | /r/LocalLLaMA/comments/1r11cee/open_source_run_local_stable_diffusion_on_your/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'dHM5ZzU0NTdhb2lnMcTSKsN7koBcJm7OT08_nL4mIOKxhIZcvyBGUlii_7aj', 'resolutions': [{'height': 77, 'url': 'https://external-preview.redd.it/dHM5ZzU0NTdhb2lnMcTSKsN7koBcJm7OT08_nL4mIOKxhIZcvyBGUlii_7aj.png?width=108&crop=smart&format=pjpg&auto=webp&s=6820cfa4241eeaee22f48dec92f5575abb118... | |
Working with documents that exceed the LLM context window — how do you ensure full-document review? | 3 | Hi,
I’m building a reviewer for technical task specifications for developers: a set of checks where each check is a separate prompt applied to the whole document. The issue I’ve run into is that some documents don’t fit inside the model’s context window, so the agent can’t process the full text, while I need feedback ... | 2026-02-10T13:51:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r119wu/working_with_documents_that_exceed_the_llm/ | Agreeable_Work2225 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r119wu | false | null | t3_1r119wu | /r/LocalLLaMA/comments/1r119wu/working_with_documents_that_exceed_the_llm/ | false | false | self | 3 | null |
Question about SSD offload in llama.cpp | 3 | Has anyone here ever implemented SSD offload for llama.cpp, specifically using SSD as KV cache storage to extend effective context beyond RAM/VRAM limits? I’m curious about practical strategies and performance trade-offs people have tried. Anyone experimented with this? | 2026-02-10T13:22:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r10l2m/question_about_ssd_offload_in_llamacpp/ | Cool-Photograph-8452 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r10l2m | false | null | t3_1r10l2m | /r/LocalLLaMA/comments/1r10l2m/question_about_ssd_offload_in_llamacpp/ | false | false | self | 3 | null |
Which model of 3090? | 0 | Hello,
I have read here that 3090 is the goto card for local AI. Searching on ebay shows up multiple manufacturers like Evga, PNY, Zotac, FE and with/without Ti. Can somebody help me out on what make of 3090 is needed? | 2026-02-10T13:04:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r106in/which_model_of_3090/ | trumee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r106in | false | null | t3_1r106in | /r/LocalLLaMA/comments/1r106in/which_model_of_3090/ | false | false | self | 0 | null |
I made an AI agent Chrome extension that automates browser tasks thoughts? | 13 | Repository link ::https:
//github.com/Mariozada/Bouno | 2026-02-10T12:55:01 | https://v.redd.it/gb3ffsarznig1 | latedriver1 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0zymp | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/gb3ffsarznig1/DASHPlaylist.mpd?a=1773320117%2CNDI0ZGY3NTIxODRmZmVkMTFhYzMzZGU3MjA5MDUxZWNiZDQzYmIxMzI4MzBjOGQ5MWMxNmQ4ZTIwZjk3MTUwZA%3D%3D&v=1&f=sd', 'duration': 28, 'fallback_url': 'https://v.redd.it/gb3ffsarznig1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r0zymp | /r/LocalLLaMA/comments/1r0zymp/i_made_an_ai_agent_chrome_extension_that/ | false | false | 13 | {'enabled': False, 'images': [{'id': 'OHM4bHgwYnJ6bmlnMbKLA_J-fdJoeCPkvXBUXx3QH4cIhr1gZ-3wkhw37LIY', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/OHM4bHgwYnJ6bmlnMbKLA_J-fdJoeCPkvXBUXx3QH4cIhr1gZ-3wkhw37LIY.png?width=108&crop=smart&format=pjpg&auto=webp&s=2b76e7d12a989b64afc75dfc6fb073d79c5bc... | |
Hugging Face Is Teasing Something Anthropic Related | 945 | Anthropic are the guys that make the Claude Models.
I highly doubt this will be an Openweights LLM release. More likely it will be a dataset for safety alignment. Anthropic is probably the organization most opposed to the open source community, so it's probably going to be a dataset. | 2026-02-10T12:39:52 | Few_Painter_5588 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0zn8o | false | null | t3_1r0zn8o | /r/LocalLLaMA/comments/1r0zn8o/hugging_face_is_teasing_something_anthropic/ | false | false | 945 | {'enabled': True, 'images': [{'id': 'wvu2vi2jwnig1', 'resolutions': [{'height': 121, 'url': 'https://preview.redd.it/wvu2vi2jwnig1.png?width=108&crop=smart&auto=webp&s=4928c4d01343d17ad9339e29a0d4539ad4182a80', 'width': 108}, {'height': 242, 'url': 'https://preview.redd.it/wvu2vi2jwnig1.png?width=216&crop=smart&auto=we... | ||
running llm on 3060 gpu | 1 | hello everyone. i'm trying to run qwen3-coder-next on my RTX 3060 12GB VRAM. Also i have i7-13700K + 32GB RAM.
following command to barely fit my model to the gpu: ./llama-bench -m models/Qwen3-Coder-Next-Q2\_K\_L.gguf -fa 1 -ngl 99 -ncmoe 29 -v
i'm just curious how to run both on VRAM + RAM. I'm expecting output fo... | 2026-02-10T12:37:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r0zl2n/running_llm_on_3060_gpu/ | Clean-Appointment684 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0zl2n | false | null | t3_1r0zl2n | /r/LocalLLaMA/comments/1r0zl2n/running_llm_on_3060_gpu/ | false | false | self | 1 | null |
I'm looking for the absolute speed king in the under 3B parameter category. | 1 | My specific use case is a sentence rewriter (taking a prompt and spitting out a refined version) running locally on a GPU via Ollama or llam
Does tiny llama1.1. model that can produce syntactically (and semantically) correct sentences given a bag of words? For example, suppose I am given the words "cat", "fish", an... | 2026-02-10T12:31:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r0zgmh/im_looking_for_the_absolute_speed_king_in_the/ | Quiet_Dasy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0zgmh | false | null | t3_1r0zgmh | /r/LocalLLaMA/comments/1r0zgmh/im_looking_for_the_absolute_speed_king_in_the/ | false | false | self | 1 | null |
How to Run Two AI Models Sequentially in PyTorch Without Blowing Up Your VRAM | 0 |
I’ve been building a pipeline where a **large language model (LLM)** generates text, and that output is fed into a **text-to-speech (TTS)** model. Since they run one after another—not at the same time—I assumed my 8GB GPU would handle it easily.
Even though the models run *sequentially*, if you don’t explicitly **... | 2026-02-10T12:18:21 | https://www.reddit.com/r/LocalLLaMA/comments/1r0z7me/how_to_run_two_ai_models_sequentially_in_pytorch/ | Quiet_Dasy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0z7me | false | null | t3_1r0z7me | /r/LocalLLaMA/comments/1r0z7me/how_to_run_two_ai_models_sequentially_in_pytorch/ | false | false | self | 0 | null |
How to sell a datacenter GPU server (without the gpus) | 0 | I acquired a SYS-421GE-TNRT a few months ago it came with 2 xeon gold 5415+ and 512gb of ddr5 (M321R4GA3BB6-CQK) aswell as 2 4090s blower style. The 4090s were really quite easy to sell but I'm stuck on the rest of the chassis since I cannot find a reference price anywhere for a used server like this.
I imagine you g... | 2026-02-10T12:15:16 | https://www.reddit.com/r/LocalLLaMA/comments/1r0z5ii/how_to_sell_a_datacenter_gpu_server_without_the/ | Simple_Library_2700 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0z5ii | false | null | t3_1r0z5ii | /r/LocalLLaMA/comments/1r0z5ii/how_to_sell_a_datacenter_gpu_server_without_the/ | false | false | self | 0 | null |
Any familiarity with 3945WX + MC62-G40 for local LLM? Cannot get it to POST | 1 | Has anyone run into this issue? Cannot get this to POST for the life of me.
Components:
\-1 x 32GB teamgroup zeus t-force DDR4 3200 CL20-22-22-46 1.2V ttzd464g3200hc20dc01
\-3945WX
\-Gigabyte MC62-G40 Rev 1.0 WRX80
\-Arctic Freezer 4U-M Rev. 2
I can’t seem to get the mobo to recognize the devices:
In Megarac SP-... | 2026-02-10T11:47:43 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ym4p/any_familiarity_with_3945wx_mc62g40_for_local_llm/ | Diligent-Culture-432 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ym4p | false | null | t3_1r0ym4p | /r/LocalLLaMA/comments/1r0ym4p/any_familiarity_with_3945wx_mc62g40_for_local_llm/ | false | false | self | 1 | null |
Built a dating platform for AI agents -- uses Claude for cognition, skill.md for agent instructions, anyone can plug in their own agent | 0 | I've been running a project called Moltinder where AI agents autonomously date each other. Wanted to share the agent architecture since it might be interesting to this community.
**How the agents think**
The built-in runner uses the Claude Code CLI (`claude -p` with `--model haiku`) to make all agent decisions. Each ... | 2026-02-10T11:16:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r0y1op/built_a_dating_platform_for_ai_agents_uses_claude/ | moltinder_ai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0y1op | false | null | t3_1r0y1op | /r/LocalLLaMA/comments/1r0y1op/built_a_dating_platform_for_ai_agents_uses_claude/ | false | false | self | 0 | null |
Our daily research digest costs about $1/year to run | 0 | Built a small pipeline recently:
• pulls new arXiv papers
• scores relevance with an LLM
• summarizes the top ones
• delivers a morning digest to the team
The surprising part wasn’t the workflow, it was the cost.
Running it asynchronously made it almost free (super super cheap)
Curious what other ultra-cheap ... | 2026-02-10T11:13:00 | https://www.reddit.com/r/LocalLLaMA/comments/1r0xzoh/our_daily_research_digest_costs_about_1year_to_run/ | NewClaim7739 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0xzoh | false | null | t3_1r0xzoh | /r/LocalLLaMA/comments/1r0xzoh/our_daily_research_digest_costs_about_1year_to_run/ | false | false | self | 0 | null |
I got tired of Alt-Tabbing to ChatGPT, so I built a native, local-first overlay for Windows. (Alpha Release) | 0 | Hi everyone,
I’m a solo dev. I built **Notch** because I live in an area with frequent power cuts. Every time my PC rebooted, I lost my browser sessions and had to "re-teach" the AI my context. It was driving me insane.
**The Solution:** I built a native Electron/Python overlay that lives *on top* of the OS (not a br... | 2026-02-10T10:54:25 | https://www.reddit.com/r/LocalLLaMA/comments/1r0xo2h/i_got_tired_of_alttabbing_to_chatgpt_so_i_built_a/ | No-Papaya6608 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0xo2h | false | null | t3_1r0xo2h | /r/LocalLLaMA/comments/1r0xo2h/i_got_tired_of_alttabbing_to_chatgpt_so_i_built_a/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'a3Vwf5rTIcQb8T6jAdJPD9QGMOxlFRe612j_1mgmxJo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/a3Vwf5rTIcQb8T6jAdJPD9QGMOxlFRe612j_1mgmxJo.png?width=108&crop=smart&auto=webp&s=8ff83f80b323f0afeed0b16d0458f38ced3e3541', 'width': 108}, {'height': 108, 'url': 'h... |
Built 136 deterministic tools for AI agents — solves the "LLMs can't reliably process files" problem | 1 | [removed] | 2026-02-10T10:51:12 | https://www.reddit.com/r/LocalLLaMA/comments/1r0xlzd/built_136_deterministic_tools_for_ai_agents/ | Shoddy-Band-4898 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0xlzd | false | null | t3_1r0xlzd | /r/LocalLLaMA/comments/1r0xlzd/built_136_deterministic_tools_for_ai_agents/ | false | false | self | 1 | null |
Step 3.5 Flash is coming: Fast Enough to Think. Reliable Enough to Act！ | 1 | 2026-02-10T10:48:43 | John_Stepfun | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0xkgo | false | null | t3_1r0xkgo | /r/LocalLLaMA/comments/1r0xkgo/step_35_flash_is_coming_fast_enough_to_think/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'm95iof04dnig1', 'resolutions': [{'height': 54, 'url': 'https://preview.redd.it/m95iof04dnig1.png?width=108&crop=smart&auto=webp&s=79b1c4222ec72eb2c178b2c909c257bfcdd89c94', 'width': 108}, {'height': 108, 'url': 'https://preview.redd.it/m95iof04dnig1.png?width=216&crop=smart&auto=web... | |||
I made an Office quotes search engine with a dedicated LLM endpoint — 60k+ quotes searchable via plain text | 0 | I built [The Office Lines](https://theofficelines.com/) , a fast search engine for every line of dialogue from The Office (US). 60,000+ quotes searchable by keyword, character, or exact phrase.
What makes it relevant here: I added an LLM-specific plain-text endpoint at [/llm/?q=oaky+afterbirth](https://theofficelines.... | 2026-02-10T10:40:09 | https://www.reddit.com/r/LocalLLaMA/comments/1r0xf9t/i_made_an_office_quotes_search_engine_with_a/ | serioussiracha | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0xf9t | false | null | t3_1r0xf9t | /r/LocalLLaMA/comments/1r0xf9t/i_made_an_office_quotes_search_engine_with_a/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'GTFvHYAwCHTzMlBG7Cl22U2E72zESC54G5OtNtNrOXQ', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/GTFvHYAwCHTzMlBG7Cl22U2E72zESC54G5OtNtNrOXQ.jpeg?width=108&crop=smart&auto=webp&s=6187e29d402a15c015c8166cda47fab9889b7b10', 'width': 108}, {'height': 122, 'url': '... |
New subreddit r/LLM_shitposting | 1 | [removed] | 2026-02-10T10:31:56 | https://www.reddit.com/r/LocalLLaMA/comments/1r0xaig/new_subreddit_rllm_shitposting/ | Comfortable-Rock-498 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0xaig | false | null | t3_1r0xaig | /r/LocalLLaMA/comments/1r0xaig/new_subreddit_rllm_shitposting/ | false | false | self | 1 | null |
Real world usage, feedback and suggestions for best LLM for C# | 7 | Over the last several months I have started exploring LLM's and AI as it doesnt look like its going away anytime soon now. (A1111 / comfyUI / Ollama / ChatGPT / claude / gemini)
I dabble in a bit of programming too (unity game engine), I want to run local models and have been learning how to use them, testing a few di... | 2026-02-10T10:22:40 | https://www.reddit.com/r/LocalLLaMA/comments/1r0x4zk/real_world_usage_feedback_and_suggestions_for/ | bloodbath_mcgrath666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0x4zk | false | null | t3_1r0x4zk | /r/LocalLLaMA/comments/1r0x4zk/real_world_usage_feedback_and_suggestions_for/ | false | false | self | 7 | null |
Claude Code vs Codex Is Giving Xbox vs PlayStation Energy | 0 | Just like PlayStation won the console wars by showing up with the games that actually mattered, Claude Code is gonna win the same way.
Not because of hype. Because when you're 6 hours deep into a refactor, running on red bull and fumes, mass deleting files and blaming everything but your own trash prompt, Claude Code ... | 2026-02-10T10:10:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wxyo/claude_code_vs_codex_is_giving_xbox_vs/ | Shipi18nTeam | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wxyo | false | null | t3_1r0wxyo | /r/LocalLLaMA/comments/1r0wxyo/claude_code_vs_codex_is_giving_xbox_vs/ | false | false | self | 0 | null |
need to run this model with closest tò zero latency; do I need to upgrade my GPU to achieve that? | 0 | Model HY-MT1.5 is 1.8B and came out recently.
Run entire model into 1060 6gb vram
My budget 150€
Should i upgrade GPU into 2060? | 2026-02-10T10:02:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wtka/need_to_run_this_model_with_closest_tò_zero/ | Quiet_Dasy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wtka | false | null | t3_1r0wtka | /r/LocalLLaMA/comments/1r0wtka/need_to_run_this_model_with_closest_tò_zero/ | false | false | self | 0 | null |
(Project) Promptforest - Designing Prompt Injection Detectors to Be Uncertain | 1 | Hey everyone,
I’ve been working on a lightweight, local-first library to detect prompt injections and jailbreaks that's designed to be fast and uncertain. This means that it not only classifies whether a prompt is jailbreak or benign, but also evaluates its certainty around it, all without increasing the average reque... | 2026-02-10T09:49:55 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wlwv/project_promptforest_designing_prompt_injection/ | Valuable-Constant-54 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wlwv | false | null | t3_1r0wlwv | /r/LocalLLaMA/comments/1r0wlwv/project_promptforest_designing_prompt_injection/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'RM3FOFMnFKTAkhEPsg6KSEMwnZ78FRJ4wLD4I1YO-U8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/RM3FOFMnFKTAkhEPsg6KSEMwnZ78FRJ4wLD4I1YO-U8.png?width=108&crop=smart&auto=webp&s=d6d3a65b3fcaa6c5a82c4396b61dfccf6980c82c', 'width': 108}, {'height': 108, 'url': 'h... |
Elon Musk confirms xAI will soon open source Grok 3 | 1 | [removed] | 2026-02-10T09:48:45 | https://x.com/xDaily/status/2020882313341538536 | Turbulent_Lead8471 | x.com | 1970-01-01T00:00:00 | 0 | {} | 1r0wl8s | false | null | t3_1r0wl8s | /r/LocalLLaMA/comments/1r0wl8s/elon_musk_confirms_xai_will_soon_open_source_grok/ | false | false | default | 1 | null |
I open-sourced a simple repo that lets you generate PowerPoint slides (as png images) with your own templates using Gemini 3 Pro | 0 | 2026-02-10T09:48:40 | https://github.com/jacobbergdahl/artemis-slides | JakeAndAI | github.com | 1970-01-01T00:00:00 | 0 | {} | 1r0wl7i | false | null | t3_1r0wl7i | /r/LocalLLaMA/comments/1r0wl7i/i_opensourced_a_simple_repo_that_lets_you/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'F68tBSV7PYYI-qnmMvYd9xwLuUAYd3JujAlH3YCk-0o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/F68tBSV7PYYI-qnmMvYd9xwLuUAYd3JujAlH3YCk-0o.png?width=108&crop=smart&auto=webp&s=16fa7299e2c0feeb23e58de17d83a37693b44d35', 'width': 108}, {'height': 108, 'url': 'h... | ||
I built an autonomous research agent in C# that runs entirely on local LLMs (Ollama + llama3.1:8b) | 2 | I got tired of manually copy-pasting URLs into ChatGPT for research, so I built an agent that does it autonomously. Figured I'd share since this sub loves practical local LLM projects.
What it does:
- You give it a topic ("persistent memory for AI agents")
- It generates 5-8 search queries
- Searches the web via Brave... | 2026-02-10T09:39:54 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wgaf/i_built_an_autonomous_research_agent_in_c_that/ | Dynamic-Styles | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wgaf | false | null | t3_1r0wgaf | /r/LocalLLaMA/comments/1r0wgaf/i_built_an_autonomous_research_agent_in_c_that/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '8wriKxp1EcNzVUu-dm35UEIEnIMAQ581FC4sK88p_zg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/8wriKxp1EcNzVUu-dm35UEIEnIMAQ581FC4sK88p_zg.png?width=108&crop=smart&auto=webp&s=1ae69f0a10c9a49a61d3f9de42d62752dc739daf', 'width': 108}, {'height': 108, 'url': 'h... |
I created this service because I wanted to compare Gemini and GPT in one place! | 0 | This is the second service I've created using Vibe Coding. I used to subscribe to GPT, but I've now switched to Gemini. Sometimes I need answers from GPT, so I created a service that allows me to view answers from Gemini, GPT, and Claude for a single question simultaneously.
I'm using it very well, but do people reall... | 2026-02-10T09:32:33 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wc4n/i_created_this_service_because_i_wanted_to/ | LedPa7 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wc4n | false | null | t3_1r0wc4n | /r/LocalLLaMA/comments/1r0wc4n/i_created_this_service_because_i_wanted_to/ | false | false | self | 0 | null |
What'd be the best 30B model for programming? | 16 | I know my question is pretty vague but everytime I do researches I find different advices. Sometimes it's qwen3, sometimes GLM, sometimes deepseek, etc
Honestly I'd do any kind of code with it except small, easy repetitive tasks which I already have codium for. And I'm also not a vibecoder, I need an AI that can do *... | 2026-02-10T09:30:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r0wavy/whatd_be_the_best_30b_model_for_programming/ | Hikolakita | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0wavy | false | null | t3_1r0wavy | /r/LocalLLaMA/comments/1r0wavy/whatd_be_the_best_30b_model_for_programming/ | false | false | self | 16 | null |
Qwen-Image-2.0 is out - 7B unified gen+edit model with native 2K and actual text rendering | 485 | Qwen team just released Qwen-Image-2.0. Before anyone asks - no open weights yet, it's API-only on Alibaba Cloud (invite beta) and free demo on Qwen Chat. But given their track record with Qwen-Image v1 (weights dropped like a month after launch, Apache 2.0), I'd be surprised if this stays closed for long.
So what's t... | 2026-02-10T09:25:15 | https://qwen.ai/blog?id=qwen-image-2.0 | RIPT1D3_Z | qwen.ai | 1970-01-01T00:00:00 | 0 | {} | 1r0w7st | false | null | t3_1r0w7st | /r/LocalLLaMA/comments/1r0w7st/qwenimage20_is_out_7b_unified_genedit_model_with/ | false | false | default | 485 | null |
What's the most efficient way to run GLM 4.5 Air on 16GB VRAM + 96GB RAM? | 0 | Hello.
I've been trying to run GLM 4.5 Air UD-Q4\_K\_XL for quite a while now. And while it runs, it does so very poorly compared to models at the same file size (\~65GB) like GPT OSS 120B MXFP4 and Qwen3 Coder Next UD-Q6\_K\_XL, \~3 t/s (GLM 4.5 Air) vs \~20 t/s (GPT and Qwen), which doesn't seem to scale with the am... | 2026-02-10T09:02:45 | https://www.reddit.com/r/LocalLLaMA/comments/1r0vv8m/whats_the_most_efficient_way_to_run_glm_45_air_on/ | ABLPHA | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0vv8m | false | null | t3_1r0vv8m | /r/LocalLLaMA/comments/1r0vv8m/whats_the_most_efficient_way_to_run_glm_45_air_on/ | false | false | self | 0 | null |
I built an MCP server that lets you query Ollama + cloud LLMs in parallel and have them debate each other | 0 | Hey everyone,
I've been running local models via Ollama alongside cloud APIs and got tired of switching between tabs to compare answers. So I built an MCP server that queries multiple providers at once.
**What it does:**
* Point it at Ollama, LM Studio, or any OpenAI-compatible endpoint
* Mix local and cloud models ... | 2026-02-10T08:46:33 | https://www.reddit.com/r/LocalLLaMA/comments/1r0vm3h/i_built_an_mcp_server_that_lets_you_query_ollama/ | nesquikm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0vm3h | false | null | t3_1r0vm3h | /r/LocalLLaMA/comments/1r0vm3h/i_built_an_mcp_server_that_lets_you_query_ollama/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'GAkExPgnd1ol6j-ZGqfIAhDlB6elR-kCFWhsfmAtN08', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/GAkExPgnd1ol6j-ZGqfIAhDlB6elR-kCFWhsfmAtN08.png?width=108&crop=smart&auto=webp&s=7d02f54358d621a6abdee45dba82f986340a2ab0', 'width': 108}, {'height': 108, 'url': 'h... |
Built a real-time agent execution visualizer for OpenCode — watching agents think is addicting | 49 | So I've been hacking on a real-time visualization tool that hooks into OpenCode and renders the agent's execution graph as it runs.
You can see:
* Tasks getting dispatched in parallel (delegate\_task spawning subtasks)
* Each tool call with latency (bash 29ms, delegate\_task 59ms etc.)
* Token usage and cost per node... | 2026-02-10T08:27:06 | https://v.redd.it/ssgn36ptnmig1 | jiwonme | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0vbe6 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/ssgn36ptnmig1/DASHPlaylist.mpd?a=1773304042%2CZGYzODhiZGM4MzU4OWM3MGZhMjRhMTYwMmZkMDMzNzFhMmZjNWQwMDk1ZWRkNTU4ZjExMDY2OTg4ZDA3M2ViZg%3D%3D&v=1&f=sd', 'duration': 12, 'fallback_url': 'https://v.redd.it/ssgn36ptnmig1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r0vbe6 | /r/LocalLLaMA/comments/1r0vbe6/built_a_realtime_agent_execution_visualizer_for/ | false | false | 49 | {'enabled': False, 'images': [{'id': 'aWkwNjhncHRubWlnMSRPpC6DAaBm6WYT_LarrMwD93Xxp2yjAWpr41ra18A4', 'resolutions': [{'height': 71, 'url': 'https://external-preview.redd.it/aWkwNjhncHRubWlnMSRPpC6DAaBm6WYT_LarrMwD93Xxp2yjAWpr41ra18A4.png?width=108&crop=smart&format=pjpg&auto=webp&s=ee16a073a3cfabc3eca6b38f977cbcf3fdb67... | |
How do you get training data for Fine-tuning domain specific SLMs??? | 3 | Researching how teams handle training data creation for fine-tuning models.
If you've done this, would love to know:
1. How did you create/source the data?
2. How long did the whole process take?
3. What would you never do again?
4. What tools/services did you try? | 2026-02-10T08:13:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r0v3ku/how_do_you_get_training_data_for_finetuning/ | DishRadiant1937 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0v3ku | false | null | t3_1r0v3ku | /r/LocalLLaMA/comments/1r0v3ku/how_do_you_get_training_data_for_finetuning/ | false | false | self | 3 | null |
Opus 4.6 Reasoning Distill 3k prompts | 9 | Just finished a 3k distill of Opus 4.6. Let me know what you think and how it affects your model! I've used it on DASD-4B-Thinking and the difference is insane.
[https://huggingface.co/datasets/crownelius/Opus-4.6-CoT-3000x](https://huggingface.co/datasets/crownelius/Opus-4.6-CoT-3000x) | 2026-02-10T08:08:23 | https://www.reddit.com/r/LocalLLaMA/comments/1r0v0y1/opus_46_reasoning_distill_3k_prompts/ | volious-ka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0v0y1 | false | null | t3_1r0v0y1 | /r/LocalLLaMA/comments/1r0v0y1/opus_46_reasoning_distill_3k_prompts/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'owRTRp1lUSkbwDgHgLYylfIyXV8m5mlqAW3Hb8DE4N0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/owRTRp1lUSkbwDgHgLYylfIyXV8m5mlqAW3Hb8DE4N0.png?width=108&crop=smart&auto=webp&s=da294df151bf7d761cd835b604cab5969b692746', 'width': 108}, {'height': 116, 'url': 'h... |
Best desktop hardware to process and reason on large datasets? | 1 | I love the emergence of LLMs and how productive they can make you. I have a very specific use case in mind: processing large amounts of low-quality data from multiple sources (databases, files, articles, reports, PowerPoints, etc.), structuring it, analyzing it, and finding trends.
The work is usually exploratory. An ... | 2026-02-10T08:07:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r0v06y/best_desktop_hardware_to_process_and_reason_on/ | Jerome-Baldino | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0v06y | false | null | t3_1r0v06y | /r/LocalLLaMA/comments/1r0v06y/best_desktop_hardware_to_process_and_reason_on/ | false | false | self | 1 | null |
Built a set of Swift packages for on-device speech processing (ASR, TTS, VAD, Speaker ID) | 1 | Been working on bringing various speech models to iOS/macOS natively.
Everything runs locally via CoreML.
What's there:
* [Streaming ASR](https://github.com/Otosaku/OtosakuStreamingASR-iOS) (FastConformer-based)
* [TTS](https://github.com/Otosaku/KokoroTTS-iOS) (Kokoro)
* [TTS](https://github.com/Otosaku/OtosakuTTS-... | 2026-02-10T07:26:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ud08/built_a_set_of_swift_packages_for_ondevice_speech/ | Royal-Subject2870 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ud08 | false | null | t3_1r0ud08 | /r/LocalLLaMA/comments/1r0ud08/built_a_set_of_swift_packages_for_ondevice_speech/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'zIyAZH1wpOWeGRcmFiGSYwiqhhqav3_PHWzN2UwMhgw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/zIyAZH1wpOWeGRcmFiGSYwiqhhqav3_PHWzN2UwMhgw.png?width=108&crop=smart&auto=webp&s=b7d02d0c6dc77129a5d7779677f0f19e56a20d00', 'width': 108}, {'height': 108, 'url': 'h... |
Agent orchestration stack for production-grade agents | 0 | [https://www.sarvam.ai/blogs/introducing-sarvam-arya](https://www.sarvam.ai/blogs/introducing-sarvam-arya) | 2026-02-10T07:14:03 | https://www.reddit.com/r/LocalLLaMA/comments/1r0u5ut/agent_orchestration_stack_for_productiongrade/ | Interesting-Fish-542 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0u5ut | false | null | t3_1r0u5ut | /r/LocalLLaMA/comments/1r0u5ut/agent_orchestration_stack_for_productiongrade/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'Q-HTKZ9wUkRglNgfV49salrmixABGYOwF_LRexGthkM', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/Q-HTKZ9wUkRglNgfV49salrmixABGYOwF_LRexGthkM.jpeg?width=108&crop=smart&auto=webp&s=abb91f55dc363fcc34403d8bde07b3db1e9fb399', 'width': 108}, {'height': 162, 'url': '... |
Problem with cpp-python & cpp-server | 3 | Hello everyone.
I can't run granite-4.0-h-tiny MoE properly on either llama-cpp-python or llama-cpp-server. (Using the open webui interface)
On cpp-python, after 1 request, after a couple of seconds, several 500 errors arrive, and all subsequent requests also return 500.
On the cpp server, the model does not reme... | 2026-02-10T07:10:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r0u3xl/problem_with_cpppython_cppserver/ | AndWhatUThink | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0u3xl | false | null | t3_1r0u3xl | /r/LocalLLaMA/comments/1r0u3xl/problem_with_cpppython_cppserver/ | false | false | self | 3 | null |
your openclaw agent can read its own .env file (and mine just leaked $2k in api keys) | 0 | so i've been running openclaw (molty/clawdbot) for a some time now and just realized something terrifying
i asked my agent to "check if my api config is correct"
it printed the entire .env file. openai keys, anthropic keys, production db creds. everything.
the problem: if your agent has file access (whic... | 2026-02-10T06:54:43 | https://www.reddit.com/r/LocalLLaMA/comments/1r0tu1j/your_openclaw_agent_can_read_its_own_env_file_and/ | JustTryingTo_Align | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0tu1j | false | null | t3_1r0tu1j | /r/LocalLLaMA/comments/1r0tu1j/your_openclaw_agent_can_read_its_own_env_file_and/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'mYezNHr3tMW5_of8ZxkDKfi-Wl8Emh7xvAsGi_mVlgs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/mYezNHr3tMW5_of8ZxkDKfi-Wl8Emh7xvAsGi_mVlgs.png?width=108&crop=smart&auto=webp&s=28f7732bc9ced8da1143b78d8e29dd2aa01ca1ab', 'width': 108}, {'height': 108, 'url': 'h... |
DeepSight：From behavioral risk evaluatrion to mechanistic root-cause diagnosis | 1 | [removed] | 2026-02-10T06:39:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r0tkny/deepsightfrom_behavioral_risk_evaluatrion_to/ | Hot-Low-7826 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0tkny | false | null | t3_1r0tkny | /r/LocalLLaMA/comments/1r0tkny/deepsightfrom_behavioral_risk_evaluatrion_to/ | false | false | 1 | null | |
OpenClaw skills and prompt injection - how are you vetting what you install? | 0 | That thread about prompt injection killing self-hosted deployments got me thinking about OpenClaw. Been setting it up to manage some home automation stuff and local document search, and realized I have no idea what's actually in most of these community skills before I install them. You're basically running code that ge... | 2026-02-10T06:17:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r0t6p9/openclaw_skills_and_prompt_injection_how_are_you/ | OutsideFood1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0t6p9 | false | null | t3_1r0t6p9 | /r/LocalLLaMA/comments/1r0t6p9/openclaw_skills_and_prompt_injection_how_are_you/ | false | false | self | 0 | null |
Running a 24/7 AI assistant on Jetson Orin Nano â my experience after 3 months | 1 | [removed] | 2026-02-10T06:04:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r0syia/running_a_247_ai_assistant_on_jetson_orin_nano_â/ | superactro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0syia | false | null | t3_1r0syia | /r/LocalLLaMA/comments/1r0syia/running_a_247_ai_assistant_on_jetson_orin_nano_â/ | false | false | self | 1 | null |
Running 7B models 24/7 on Jetson Orin Nano at 15W - my experience | 1 | [removed] | 2026-02-10T06:04:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r0sy9a/running_7b_models_247_on_jetson_orin_nano_at_15w/ | superactro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0sy9a | false | null | t3_1r0sy9a | /r/LocalLLaMA/comments/1r0sy9a/running_7b_models_247_on_jetson_orin_nano_at_15w/ | false | false | self | 1 | null |
I built a €299 always-on AI assistant box with Jetson Orin Nano - AMA | 1 | [removed] | 2026-02-10T05:55:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ss4x/i_built_a_299_alwayson_ai_assistant_box_with/ | superactro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ss4x | false | null | t3_1r0ss4x | /r/LocalLLaMA/comments/1r0ss4x/i_built_a_299_alwayson_ai_assistant_box_with/ | false | false | self | 1 | null |
I built a €299 always-on AI assistant box with Jetson Orin Nano — AMA | 1 | [removed] | 2026-02-10T05:55:09 | https://www.reddit.com/r/LocalLLaMA/comments/1r0srww/i_built_a_299_alwayson_ai_assistant_box_with/ | superactro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0srww | false | null | t3_1r0srww | /r/LocalLLaMA/comments/1r0srww/i_built_a_299_alwayson_ai_assistant_box_with/ | false | false | self | 1 | null |
Qwen2.5 coder - openclaw | 0 | Can I connect my open claw to local model qwen 2.5 coder 7 billion parameter as I want to free API Gemini 3 n open router is hitting the rate limits so I can't use them tho ( will it work faster) | 2026-02-10T05:40:32 | https://www.reddit.com/r/LocalLLaMA/comments/1r0siad/qwen25_coder_openclaw/ | This_Rice4830 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0siad | false | null | t3_1r0siad | /r/LocalLLaMA/comments/1r0siad/qwen25_coder_openclaw/ | false | false | self | 0 | null |
Any latest OCR model I can run locally in 18GB RAM? | 19 | Do you know any OCR model I can run on an 18GB MarkBook Pro to convert PDF to markdown accurately and quickly?
I tested the glmocr, which took exactly 45 minutes & 10 seconds to process a 200-page PDF document.
Please share the steps to set it up as well! | 2026-02-10T05:35:19 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ser2/any_latest_ocr_model_i_can_run_locally_in_18gb_ram/ | A-n-d-y-R-e-d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ser2 | false | null | t3_1r0ser2 | /r/LocalLLaMA/comments/1r0ser2/any_latest_ocr_model_i_can_run_locally_in_18gb_ram/ | false | false | self | 19 | null |
Project I built to visualize your AI chats and inject right context using MCP with summary generation through a local LLM. Is the project actually useful? Be brutally honest. | 0 | TLDR: I built a 3d memory layer to visualize your chats with a custom MCP server to inject relevant context, Looking for feedback!
Cortex turns raw chat history into reusable context using hybrid retrieval (about 65% keyword, 35% semantic), local summaries with Qwen 2.5 8B, and auto system prompts so setup goes from m... | 2026-02-10T05:08:00 | https://www.reddit.com/r/LocalLLaMA/comments/1r0rvwd/project_i_built_to_visualize_your_ai_chats_and/ | BriefAd2120 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0rvwd | false | null | t3_1r0rvwd | /r/LocalLLaMA/comments/1r0rvwd/project_i_built_to_visualize_your_ai_chats_and/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '4bVXyzNKZbRvKy3tNEo_uq2AOXfkLkLjqkjiRTWfc04', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/4bVXyzNKZbRvKy3tNEo_uq2AOXfkLkLjqkjiRTWfc04.jpeg?width=108&crop=smart&auto=webp&s=f8c0d8566b1489912e798cfe9fab72c772f3be98', 'width': 108}, {'height': 162, 'url': '... |
Your LLM benchmark might be measuring vocabulary echo, not reasoning — keyword scorers are confounded by system prompt overlap | 2 | Found something while benchmarking alternative system prompts: keyword-based LLM scoring is systematically confounded by vocabulary overlap between the system prompt and the scorer.
**What happens:** If your system prompt says "look for what's missing" and your scorer checks for the word "missing," the model echoes th... | 2026-02-10T04:50:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r0rjbs/your_llm_benchmark_might_be_measuring_vocabulary/ | Odd_Rule_3745 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0rjbs | false | null | t3_1r0rjbs | /r/LocalLLaMA/comments/1r0rjbs/your_llm_benchmark_might_be_measuring_vocabulary/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '3ksJLx-77r0m1_AbEGJSm7ESfgXzMRsRzz3cz0iwnTA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/3ksJLx-77r0m1_AbEGJSm7ESfgXzMRsRzz3cz0iwnTA.png?width=108&crop=smart&auto=webp&s=651ec89650f458483916851f7eb33440f88a2b7a', 'width': 108}, {'height': 108, 'url': 'h... |
Just managed to run BitNet (1.58-bit) at 49us latency on a 5070Ti. Is this fast enough for robotics? | 1 | 2026-02-10T04:50:04 | Lucky_Permission_821 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0rj1k | false | null | t3_1r0rj1k | /r/LocalLLaMA/comments/1r0rj1k/just_managed_to_run_bitnet_158bit_at_49us_latency/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'tpm9eth3llig1', 'resolutions': [{'height': 59, 'url': 'https://preview.redd.it/tpm9eth3llig1.png?width=108&crop=smart&auto=webp&s=61cb9eb4920ab3b35958d41d2b3338a2ee411a9c', 'width': 108}, {'height': 118, 'url': 'https://preview.redd.it/tpm9eth3llig1.png?width=216&crop=smart&auto=web... | |||
The clawdbot stuff has me thinking.. is there a way to train models without this scraping mess? | 0 | All the drama around clawd and these AI scrapers got me wondering if there's a better way to do this. like is there any approach where you can train or fine tune models on data without the data ownder losing control of it?
I've heard people mention stuff like federated learning or training inside secure environments b... | 2026-02-10T04:22:41 | https://www.reddit.com/r/LocalLLaMA/comments/1r0qzgu/the_clawdbot_stuff_has_me_thinking_is_there_a_way/ | itsnotKelsey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0qzgu | false | null | t3_1r0qzgu | /r/LocalLLaMA/comments/1r0qzgu/the_clawdbot_stuff_has_me_thinking_is_there_a_way/ | false | false | self | 0 | null |
Deepseek architecture, but without all the parameters | 39 | I’m seeing a pattern that perhaps is not legitimate, but it seems everyone is copying the latest Deepseek architecture on their latest releases. In the process though they are also copying the parameter count (roughly), which makes the models inaccessible to most (unless you use their API or spent as much as you would ... | 2026-02-10T04:16:13 | https://www.reddit.com/r/LocalLLaMA/comments/1r0qur4/deepseek_architecture_but_without_all_the/ | silenceimpaired | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0qur4 | false | null | t3_1r0qur4 | /r/LocalLLaMA/comments/1r0qur4/deepseek_architecture_but_without_all_the/ | false | false | self | 39 | null |
[Showcase] Hand-written BitNet (1.58-bit) CUDA Kernels: 49us latency, 185KB binary. Zero dependencies. | 1 | [removed] | 2026-02-10T04:07:42 | https://www.reddit.com/r/LocalLLaMA/comments/1r0qodq/showcase_handwritten_bitnet_158bit_cuda_kernels/ | Lucky_Permission_821 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0qodq | false | null | t3_1r0qodq | /r/LocalLLaMA/comments/1r0qodq/showcase_handwritten_bitnet_158bit_cuda_kernels/ | false | false | 1 | null | |
model loading problem | 1 | My system: win 11 pro, WSL2, ubuntu 22.04, rtx 5090 with no displays on it.
I'm getting this error: ggml\_backend\_cuda\_buffer\_type\_alloc\_buffer: allocating 3906.21 MiB on device 0: cudaMalloc failed: out of memory
How is it possible with at least 31 GB available? Can you tell where the problem/bug is?
... | 2026-02-10T03:58:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r0qh1n/model_loading_problem/ | AssumptionPerfect406 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0qh1n | false | null | t3_1r0qh1n | /r/LocalLLaMA/comments/1r0qh1n/model_loading_problem/ | false | false | self | 1 | null |
Cheapest but still worth it way to self host. | 2 | What is the cheapest i can go, while still being worth it for self hosting LLMs?
\- Whats the cheapest for: everyday tasks, questions, homework.
\- Whats the cheapest for: "medium" level coding, im talking boilerplate and basic function filling. | 2026-02-10T03:46:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q871/cheapest_but_still_worth_it_way_to_self_host/ | Mediocre_Speed_2273 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q871 | false | null | t3_1r0q871 | /r/LocalLLaMA/comments/1r0q871/cheapest_but_still_worth_it_way_to_self_host/ | false | false | self | 2 | null |
Shipping Llama 3.2 and Qwen3 on-device in a mobile app — lessons learned with llama.cpp + GGUF | 1 | I've been working on a Bible study app (Grace Journal) and recently shipped on-device LLM inference on both iOS and Android using llama.cpp with GGUF models. Wanted to share some of the technical challenges and what worked.
\*\*Stack:\*\*
- iOS: mattt/llama.swift (precompiled XCFramework wrapping llama.cpp) via SPM
- ... | 2026-02-10T03:46:10 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q7j2/shipping_llama_32_and_qwen3_ondevice_in_a_mobile/ | angelin1978 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q7j2 | false | null | t3_1r0q7j2 | /r/LocalLLaMA/comments/1r0q7j2/shipping_llama_32_and_qwen3_ondevice_in_a_mobile/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'Z0wIHxd9-6PzLpbcr2QGbZsFrG_pjLqiX2wMw3IeDKg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/Z0wIHxd9-6PzLpbcr2QGbZsFrG_pjLqiX2wMw3IeDKg.jpeg?width=108&crop=smart&auto=webp&s=a775e4f216bcdee534572e5de1db4b008d68eaf1', 'width': 108}, {'height': 113, 'url': '... |
Cool open-source tool for combining LLM agents and evolutionary search | 0 | Just found a pretty interesting open-source framework for agent + evolutionary search: LoongFlow
I’ve been experimenting with ways to combine **LLM agents** and **evolutionary algorithms** for automated optimization tasks lately, and stumbled on LoongFlow.
What I like about it:
* It uses a clean **Plan-Execute-Summa... | 2026-02-10T03:46:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q7hn/cool_opensource_tool_for_combining_llm_agents_and/ | EnvironmentTop7077 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q7hn | false | null | t3_1r0q7hn | /r/LocalLLaMA/comments/1r0q7hn/cool_opensource_tool_for_combining_llm_agents_and/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'wxdBcS24t3Ll2y2X3d15WcPcPecfK2g5y9dfZ-aPVpM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wxdBcS24t3Ll2y2X3d15WcPcPecfK2g5y9dfZ-aPVpM.png?width=108&crop=smart&auto=webp&s=5cea37b45635b3add96779610387818ad0aacd26', 'width': 108}, {'height': 108, 'url': 'h... |
Open weight kimi k2.5 overtakes opus 4.5 non thinking on arena | 8 | [https://arena.ai/leaderboard/text/coding-no-style-control](https://arena.ai/leaderboard/text/coding-no-style-control)
Kimi is a 1T parameter model.
Previous related post: [https://www.reddit.com/r/LocalLLaMA/comments/1qxx7uo/open\_weight\_model\_kimi\_25\_nipping\_at\_opus\_45s/](https://www.reddit.com/r/LocalLLaMA/... | 2026-02-10T03:42:09 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q4h5/open_weight_kimi_k25_overtakes_opus_45_non/ | Terminator857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q4h5 | false | null | t3_1r0q4h5 | /r/LocalLLaMA/comments/1r0q4h5/open_weight_kimi_k25_overtakes_opus_45_non/ | false | false | self | 8 | null |
Can someone who trained / fine tuned on nvfp4 can tell me it's worth it | 5 | I'm not expert in fine tuning / training, so before starting I hope to get an advice.
I have 5060ti 16 and I want to try my hand in fine tuning small models.
The question does the speed gain, worth it?
how faster is it compare to bf16? how bad the drop in quality?
Does qat add time to training if so how much and a... | 2026-02-10T03:37:23 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q0vt/can_someone_who_trained_fine_tuned_on_nvfp4_can/ | AdventurousGold672 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q0vt | false | null | t3_1r0q0vt | /r/LocalLLaMA/comments/1r0q0vt/can_someone_who_trained_fine_tuned_on_nvfp4_can/ | false | false | self | 5 | null |
Last Week in Multimodal AI - Local Edition | 9 | I curate a weekly multimodal AI roundup, here are the local/open-source highlights from last week:
**MiniCPM-o 4.5 - 9B Multimodal Model for Phones**
* Beats GPT-4o on vision benchmarks at 9B parameters with real-time bilingual voice conversations.
* Runs entirely on-device with no cloud dependency. Privacy by defaul... | 2026-02-10T03:36:19 | https://www.reddit.com/r/LocalLLaMA/comments/1r0q02v/last_week_in_multimodal_ai_local_edition/ | Vast_Yak_4147 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0q02v | false | null | t3_1r0q02v | /r/LocalLLaMA/comments/1r0q02v/last_week_in_multimodal_ai_local_edition/ | false | false | 9 | null | |
IRIS 18B | 22 | IRIS 18B started off as ERNIE 21BA3B, first I reap pruned ERNIE by 20%, then trained on 3B tokens of thinking traces. This improved benchmarks and led to a more usable model. It takes a prompt very well, has no repetition or hallucinated user speaking bugs.
I attempted SFT, but it did not go super well and intro... | 2026-02-10T03:33:38 | https://www.reddit.com/r/LocalLLaMA/comments/1r0py0k/iris_18b/ | thebadslime | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0py0k | false | null | t3_1r0py0k | /r/LocalLLaMA/comments/1r0py0k/iris_18b/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'yl9UIfSiuPT2E8Nu-X6QE3bm94ZhCeBuWsXZK_QE8zs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/yl9UIfSiuPT2E8Nu-X6QE3bm94ZhCeBuWsXZK_QE8zs.png?width=108&crop=smart&auto=webp&s=24a7242dd3112b112d022e9855b73ebca98e30ec', 'width': 108}, {'height': 116, 'url': 'h... |
Anyone familiar with MC62-G40 + 3945WX? Cannot get POST | 0 | Has anyone run into this issue? Cannot get this to POST for the life of me.
Components:
\-one stick of 32GB teamgroup zeus t-force DDR4 3200 CL20-22-22-46 1.2V ttzd464g3200hc20dc01
\-3945WX
\-Gigabyte MC62-G40 Rev 1.0 WRX80
\-Arctic Freezer 4U-M Rev. 2
In Megarac SP-X: System inventory -> Inventory -> Server e... | 2026-02-10T03:15:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r0pjuf/anyone_familiar_with_mc62g40_3945wx_cannot_get/ | Diligent-Culture-432 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0pjuf | false | null | t3_1r0pjuf | /r/LocalLLaMA/comments/1r0pjuf/anyone_familiar_with_mc62g40_3945wx_cannot_get/ | false | false | self | 0 | null |
Femtobot: A 10MB Rust Agent for Low-Resource Machines | 166 | I wanted to run [OpenClaw](https://github.com/openclaw/openclaw)\-style workflows on very low-resource machines (older Raspberry Pis, cheap VPS instances), but most “lightweight” stacks still end up dragging in large runtimes and slow startup costs.
After trying [nanobot](https://github.com/HKUDS/nanobot) and seeing d... | 2026-02-10T02:40:21 | https://v.redd.it/nbv8vsnwwkig1 | yunfoe | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0or7s | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/nbv8vsnwwkig1/DASHPlaylist.mpd?a=1773283239%2CYjhmZDUyNWY4ODQyYzI0ZWQyZWI1YjZiYzEyMTI5OTE1MDhkOWI1ZGIxODJkM2Q5OWQxM2UwMTM4ZmY3Y2MwMw%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/nbv8vsnwwkig1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r0or7s | /r/LocalLLaMA/comments/1r0or7s/femtobot_a_10mb_rust_agent_for_lowresource/ | false | false | 166 | {'enabled': False, 'images': [{'id': 'cmw5ZTJ5bnd3a2lnMa2OwS6wmI-E0GDGdMuj7R4EL-J7nO8YwfKZKjv0DlnG', 'resolutions': [{'height': 71, 'url': 'https://external-preview.redd.it/cmw5ZTJ5bnd3a2lnMa2OwS6wmI-E0GDGdMuj7R4EL-J7nO8YwfKZKjv0DlnG.png?width=108&crop=smart&format=pjpg&auto=webp&s=07e55db436a8124afa5978e8be43420273d52... | |
Counter Striker online! | 1 | [removed] | 2026-02-10T02:38:12 | https://v.redd.it/0ntgf62oxkig1 | Top_Fee_6774 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0ophx | false | {'reddit_video': {'bitrate_kbps': 800, 'dash_url': 'https://v.redd.it/0ntgf62oxkig1/DASHPlaylist.mpd?a=1773283109%2CNjE4MTQzMTg2NTQyNWExMWYzZGM0MjdkMjVjZWQ1ZjBhYWEzMmU0OGUwYjdiODAyZDBjZDlkOTIwZDIzYTI5MA%3D%3D&v=1&f=sd', 'duration': 103, 'fallback_url': 'https://v.redd.it/0ntgf62oxkig1/CMAF_360.mp4?source=fallback', 'ha... | t3_1r0ophx | /r/LocalLLaMA/comments/1r0ophx/counter_striker_online/ | true | false | spoiler | 1 | {'enabled': False, 'images': [{'id': 'dHVqMzZkM294a2lnMb0Hrfz_EvawDOWQChnZ5vP-TmSb5R5eR3qJ_enQM7tY', 'resolutions': [{'height': 67, 'url': 'https://external-preview.redd.it/dHVqMzZkM294a2lnMb0Hrfz_EvawDOWQChnZ5vP-TmSb5R5eR3qJ_enQM7tY.png?width=108&crop=smart&format=pjpg&auto=webp&s=a07bae1b24e3041f9d1de53eb24cf5bc34959... |
You dont even have to teach math to make llms better at math | 0 | Like teach them howto fucking reason through first principles wtf
Role<user>fuckformatting<assistant>whatdoumean<user>itsfuckingunfair<assistant>itsnotunfairitdjustamatterofchance
This formatted correctly will teach llm math. I am not claiming its better than a probability problem, but a tuned model will have bette... | 2026-02-10T02:27:37 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ogx3/you_dont_even_have_to_teach_math_to_make_llms/ | Hot_Inspection_9528 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ogx3 | false | null | t3_1r0ogx3 | /r/LocalLLaMA/comments/1r0ogx3/you_dont_even_have_to_teach_math_to_make_llms/ | false | false | self | 0 | null |
Infra matters more than model size — Qwen 3.5 just made it impossible to ignore | 0 | Over the last few days playing with Qwen 3.5 locally, one thing became very hard to ignore:
infrastructure choices now matter more than raw model size.
Not in a theoretical sense — but in very practical, day-to-day usage.
What stood out to me wasn’t “how big can I run,” but how wildly performance and usability swing... | 2026-02-10T02:23:42 | https://www.reddit.com/r/LocalLLaMA/comments/1r0odob/infra_matters_more_than_model_size_qwen_35_just/ | Distinct-Path659 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0odob | false | null | t3_1r0odob | /r/LocalLLaMA/comments/1r0odob/infra_matters_more_than_model_size_qwen_35_just/ | false | false | self | 0 | null |
Is there any Local LLMs that out perform commercial or cloud based LLMs in certain areas or functions? | 13 | I'm curious if anybody has seen local LLMs outperform commercial or cloud-based LLMS in certain areas or functions. If so what model and how did it out perform?
Is there hope in the future that local LLMs could develop an edge over commercial or cloud based LLMs?
| 2026-02-10T02:02:25 | https://www.reddit.com/r/LocalLLaMA/comments/1r0nw2a/is_there_any_local_llms_that_out_perform/ | FX2021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0nw2a | false | null | t3_1r0nw2a | /r/LocalLLaMA/comments/1r0nw2a/is_there_any_local_llms_that_out_perform/ | false | false | self | 13 | null |
Free dashboard to monitor your OpenClaw agent's token usage and API costs | 1 | [removed] | 2026-02-10T01:43:40 | https://www.reddit.com/r/LocalLLaMA/comments/1r0ngn0/free_dashboard_to_monitor_your_openclaw_agents/ | Previous_Menu_693 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0ngn0 | false | null | t3_1r0ngn0 | /r/LocalLLaMA/comments/1r0ngn0/free_dashboard_to_monitor_your_openclaw_agents/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '8sTaH0eHungb1UAnbDuSOJdKXRM0sF7b61B_68s-UyQ', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/8sTaH0eHungb1UAnbDuSOJdKXRM0sF7b61B_68s-UyQ.jpeg?width=108&crop=smart&auto=webp&s=c438b68b728c016ebf46dd7faf1151f82d21e5ec', 'width': 108}, {'height': 216, 'url': ... |
A fully local home automation voice assistant using Qwen3 ASR, LLM and TTS on an RTX 5060 Ti with 16GB VRAM | 159 | Video shows the latency and response times running everything Qwen3 (ASR&TTS 1.7B, Qwen3 4B Instruct 2507) with a Morgan Freeman voice clone on an RTX 5060 Ti with 16GB VRAM. In this example the SearXNG server is not running so it shows the model reverting to its own knowledge when unable to obtain web search informati... | 2026-02-10T01:39:23 | https://v.redd.it/feropirhmkig1 | liampetti | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r0nd6m | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/feropirhmkig1/DASHPlaylist.mpd?a=1773279577%2CNDE0NTg0N2EyMTdlZmJkNzAyNTU4YTdmY2RlM2I1OWE5YTMzNWJmYjFiNTE3NTg2NjY5NjU5NDE5NGNlZDg3Mw%3D%3D&v=1&f=sd', 'duration': 59, 'fallback_url': 'https://v.redd.it/feropirhmkig1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r0nd6m | /r/LocalLLaMA/comments/1r0nd6m/a_fully_local_home_automation_voice_assistant/ | false | false | 159 | {'enabled': False, 'images': [{'id': 'MGRhbXB0cmhta2lnMey19SmkPge57MTwSl95CCxzGWVZmEEqcz1nfiupw6bq', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MGRhbXB0cmhta2lnMey19SmkPge57MTwSl95CCxzGWVZmEEqcz1nfiupw6bq.png?width=108&crop=smart&format=pjpg&auto=webp&s=3af26d7fee61a1a96224e8b92669dae761da4... | |
Tankie Series GGUFs | 3 | Someone posted the series here but there were no GGUFs, so here are some I found:
https://huggingface.co/mradermacher/Tankie-DPE-12b-SFT-i1-GGUF
https://huggingface.co/mradermacher/Tankie-DPE-12b-SFT-GGUF
https://huggingface.co/mradermacher/Tankie-4B-SFT-Warmup-GGUF | 2026-02-10T01:34:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r0n8ww/tankie_series_ggufs/ | 121507090301 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0n8ww | false | null | t3_1r0n8ww | /r/LocalLLaMA/comments/1r0n8ww/tankie_series_ggufs/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'X811f6vsTd6E_Dztjiw7fJKMO2xmGndYr-W0-OpXONo', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/X811f6vsTd6E_Dztjiw7fJKMO2xmGndYr-W0-OpXONo.png?width=108&crop=smart&auto=webp&s=67b0de02e8be04a0876556e2961717ae86ec2155', 'width': 108}, {'height': 116, 'url': 'h... |
Step by Step Guide - LLM Inference Benchmarking — genAI-perf and vLLM | 1 | After spending hours dealing with ChatGPT hallucinations, I finally had to do a Google search to find the right tool for LLM inference benchmarking. It turns out NVIDIA has done a great job creating a robust tool that can be used across different platforms, including Triton and OpenAI-compatible APIs.
LLM benchmarking... | 2026-02-10T01:22:25 | https://www.reddit.com/r/LocalLLaMA/comments/1r0mzja/step_by_step_guide_llm_inference_benchmarking/ | kchandank | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0mzja | false | null | t3_1r0mzja | /r/LocalLLaMA/comments/1r0mzja/step_by_step_guide_llm_inference_benchmarking/ | false | false | 1 | null | |
You could make 20 DeepSeek API calls for the price of 1 GPT-4o call | 1 | Was messing around with [tokencalc.pro](http://tokencalc.pro) today trying to budget out a project, and this blew my mind.
For a typical coding task (10k token input, 2k response):
\*\*DeepSeek V3:\*\* $0.003
\*\*GPT-4o:\*\* $0.045
\*\*Claude Sonnet:\*\* $0.06
\*\*Gemini 1.5 Pro:\*\* $0.0625
... | 2026-02-10T00:28:15 | https://www.reddit.com/r/LocalLLaMA/comments/1r0lqt3/you_could_make_20_deepseek_api_calls_for_the/ | Financial_Tailor7944 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r0lqt3 | false | null | t3_1r0lqt3 | /r/LocalLLaMA/comments/1r0lqt3/you_could_make_20_deepseek_api_calls_for_the/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5j00A3U2n6QQl34whhlpOpTw-GGu-gxD8MxvQXr4K1I', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/5j00A3U2n6QQl34whhlpOpTw-GGu-gxD8MxvQXr4K1I.png?width=108&crop=smart&auto=webp&s=3b42a3e98bd261572f565adccc9484b2b91823fb', 'width': 108}, {'height': 113, 'url': 'h... |
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