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LLM Security Questions | 0 | Hello all,
I am trying to learn about AI and LLM models. Can something be baked into an LLM model that would give it incentives to spy on what you are doing then compile and report to an outside source?
Thanks | 2026-02-14T16:49:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r4pgif/llm_security_questions/ | FarAnalysis5861 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4pgif | false | null | t3_1r4pgif | /r/LocalLLaMA/comments/1r4pgif/llm_security_questions/ | false | false | self | 0 | null |
Best budget GPU(s) for local LLM inference? ~$850 budget | 1 | Hey everyone! Looking for the most cost-effective GPU setup for LLM inference (not training).
**Current setup:** Ryzen 7 2700X, 32GB DDR4, RTX 3060 12GB (already owned)
**Use cases:**
1. Running large models (20B-70B)
2. Running several small models, one being the "smart" lead model
**Available used GPUs in my mark... | 2026-02-14T16:47:09 | https://www.reddit.com/r/LocalLLaMA/comments/1r4pepa/best_budget_gpus_for_local_llm_inference_850/ | AndWhatUThink | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4pepa | false | null | t3_1r4pepa | /r/LocalLLaMA/comments/1r4pepa/best_budget_gpus_for_local_llm_inference_850/ | false | false | self | 1 | null |
opencode doesnt do anything | 0 | Hello,
I am trying to use ollama for the first time with Nvidia 5060 ti 16GB card. I have setup opencode and provided it the API key. Opencode is able to access the ollama. I asked ollama to check a file and it does nothing.
https://preview.redd.it/f5q5e55wnhjg1.png?width=1873&format=png&auto=webp&s=d14abd2ab2e8c712c... | 2026-02-14T16:42:47 | https://www.reddit.com/r/LocalLLaMA/comments/1r4paoj/opencode_doesnt_do_anything/ | trumee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4paoj | false | null | t3_1r4paoj | /r/LocalLLaMA/comments/1r4paoj/opencode_doesnt_do_anything/ | false | false | 0 | null | |
🔥 $1/HR ONLY – AMD MI300X (192GB VRAM) – Instant SSH 🔥 | 1 | [removed] | 2026-02-14T16:42:00 | https://www.reddit.com/r/LocalLLaMA/comments/1r4p9yf/1hr_only_amd_mi300x_192gb_vram_instant_ssh/ | Responsible_Net1868 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4p9yf | false | null | t3_1r4p9yf | /r/LocalLLaMA/comments/1r4p9yf/1hr_only_amd_mi300x_192gb_vram_instant_ssh/ | false | false | 1 | null | |
Diversity in engineering | 0 | I'm using a bunch of different coders and wondering what you think? Opus is very expensive. I only use it for difficult tasks or where others fail. I have gemini, codex, glm 4.7, and kimi. I dabble with local qwen3 coder next, which seems to be improving like a fine wine with time. I pull the latest llama.cpp a cou... | 2026-02-14T16:22:12 | https://www.reddit.com/r/LocalLLaMA/comments/1r4os04/diversity_in_engineering/ | Terminator857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4os04 | false | null | t3_1r4os04 | /r/LocalLLaMA/comments/1r4os04/diversity_in_engineering/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '41SYiwpXrZ4HjPx8OG96f0hfDwt2LZy-KnIs0jwfG_0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/41SYiwpXrZ4HjPx8OG96f0hfDwt2LZy-KnIs0jwfG_0.png?width=108&crop=smart&auto=webp&s=59a2013000e63343807b7d1c51d05c1b6a7d738e', 'width': 108}, {'height': 116, 'url': 'h... |
Local success (20B with 12 GB VRAM) | 6 | I just ran GPT 20B locally, on my 16GB RAM / 12 GB VRAM, and the response time was unnoticeably fast.
It is actually running in a llama.cpp container, on WSL (which has additional challenges.) I containerized so that I can make it portable, replicable.
The startup time is very slow. I am putting in some effort to opt... | 2026-02-14T16:01:20 | https://www.reddit.com/r/LocalLLaMA/comments/1r4o9aq/local_success_20b_with_12_gb_vram/ | sinan_online | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4o9aq | false | null | t3_1r4o9aq | /r/LocalLLaMA/comments/1r4o9aq/local_success_20b_with_12_gb_vram/ | false | false | self | 6 | null |
quantum-style aggregation over local LLM outputs (not just plain multisampling) | 0 | Deleted my first post because it was messy and missing details reposting a cleaner version.
I built an open-source JS runtime that combines outputs from multiple local models (Ollama) and tries to reduce hallucinations.
Quick clarification since someone fairly asked “so multisampling?”
Yes, it starts with multiple... | 2026-02-14T16:00:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r4o8x7/quantumstyle_aggregation_over_local_llm_outputs/ | Competitive-Sleep624 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4o8x7 | false | null | t3_1r4o8x7 | /r/LocalLLaMA/comments/1r4o8x7/quantumstyle_aggregation_over_local_llm_outputs/ | false | false | self | 0 | null |
I built an open source tool to test if your local AI agent leaks data under adversarial prompts | 3 | Been working on Temper Labs, a free tool that runs adversarial prompts against your agent's system prompt to see what gets through.
Select your agent's capabilities (email, files, terminal, browser...) and it tests \~20 attack vectors: prompt injection, data exfiltration, jailbreaks, etc.
55 agents tested so far. Mos... | 2026-02-14T15:51:58 | https://www.reddit.com/r/LocalLLaMA/comments/1r4o0ya/i_built_an_open_source_tool_to_test_if_your_local/ | godofredo_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4o0ya | false | null | t3_1r4o0ya | /r/LocalLLaMA/comments/1r4o0ya/i_built_an_open_source_tool_to_test_if_your_local/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'u7Qtga8x5TL4Uodi3-beE4wTgEAqkGSSF5p9RgW-an0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/u7Qtga8x5TL4Uodi3-beE4wTgEAqkGSSF5p9RgW-an0.png?width=108&crop=smart&auto=webp&s=07af63a3e32f0d08049d35e479ba14f991a86762', 'width': 108}, {'height': 113, 'url': 'h... |
Local-first “computer-use agent” sandbox: Docker XFCE + VNC + GGUF VLM (Ubuntu) | 6 | created for ubuntu this repository; it might be useful for you. Note: It still has many shortcomings, but I'd like your suggestions to fix them. Repository: https://github.com/3m1rc1kk/Locally-CUA-Sandbox-System.git | 2026-02-14T15:43:43 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ntp2/localfirst_computeruse_agent_sandbox_docker_xfce/ | Bubbly-Ad9412 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ntp2 | false | null | t3_1r4ntp2 | /r/LocalLLaMA/comments/1r4ntp2/localfirst_computeruse_agent_sandbox_docker_xfce/ | false | false | self | 6 | null |
Qwen3-TTS.cpp | 99 | **Lightweight GGML implementation of Qwen3-TTS 0.6B**
**4x Speedup compared to pytorch pipeline, with \~2 Gigs of Memory usage.**
Hi, this was something I've been working on for the last few days. The result actually performed better than expected, so I'm sharing it here.
The pipeline was optimized with Metal backen... | 2026-02-14T15:43:12 | https://github.com/predict-woo/qwen3-tts.cpp | redditgivingmeshit | github.com | 1970-01-01T00:00:00 | 0 | {} | 1r4nt7u | false | null | t3_1r4nt7u | /r/LocalLLaMA/comments/1r4nt7u/qwen3ttscpp/ | false | false | default | 99 | {'enabled': False, 'images': [{'id': 'lXcar2l04LaOhzsDCTxgOTofdAoFx7BoAnOuaZ4jNcw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/lXcar2l04LaOhzsDCTxgOTofdAoFx7BoAnOuaZ4jNcw.png?width=108&crop=smart&auto=webp&s=327786cd9799a543219a9533a920352458ed034a', 'width': 108}, {'height': 108, 'url': 'h... |
App to analyze a text token-by-token perplexity for a given GGUF | 37 | I made a rust desktop app that allows you to analyze a given text and see how "surprising" it is to a LLM. You just need to have a GGUF model on disk.
You can check it here: [https://github.com/Belluxx/Perplex/](https://github.com/Belluxx/Perplex/)
It's quite fun to see from the model's most likely predictions, espe... | 2026-02-14T15:37:38 | EntropyMagnets | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4no3s | false | null | t3_1r4no3s | /r/LocalLLaMA/comments/1r4no3s/app_to_analyze_a_text_tokenbytoken_perplexity_for/ | false | false | default | 37 | {'enabled': True, 'images': [{'id': 'ko9gdibnbhjg1', 'resolutions': [{'height': 89, 'url': 'https://preview.redd.it/ko9gdibnbhjg1.png?width=108&crop=smart&auto=webp&s=891226682b4aa554246f48dd59832341c723c7b4', 'width': 108}, {'height': 179, 'url': 'https://preview.redd.it/ko9gdibnbhjg1.png?width=216&crop=smart&auto=web... | |
Quantum-interference ensemble for hallucination reduction (75% -> 16.7%) | 0 | Open-sourced a JS runtime that treats model outputs as a superposition, then collapses using interference + verification weighting.
Reproducible benchmark is in repo; would love hard critique.
[https://github.com/Therealnumber3/superposition](https://github.com/Therealnumber3/superposition) | 2026-02-14T15:32:25 | https://www.reddit.com/r/LocalLLaMA/comments/1r4njfv/quantuminterference_ensemble_for_hallucination/ | Competitive-Sleep624 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4njfv | false | null | t3_1r4njfv | /r/LocalLLaMA/comments/1r4njfv/quantuminterference_ensemble_for_hallucination/ | false | false | self | 0 | null |
Are you using AI observability tools before going to production? | 0 | Hey everyone 👋
I've been thinking about how teams evaluate their AI-powered products before shipping them to users.
With so many AI observability and evaluation tools out there (like Langfuse, Langchain, Helicone, etc.), I'm curious:
Are you actually using any of these tools to test and evaluate your AI solution bef... | 2026-02-14T15:29:55 | https://www.reddit.com/r/LocalLLaMA/comments/1r4nhal/are_you_using_ai_observability_tools_before_going/ | Deep_190 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4nhal | false | null | t3_1r4nhal | /r/LocalLLaMA/comments/1r4nhal/are_you_using_ai_observability_tools_before_going/ | false | false | self | 0 | null |
Heretic 1.2 released: 70% lower VRAM usage with quantization, Magnitude-Preserving Orthogonal Ablation ("derestriction"), broad VL model support, session resumption, and more | 368 | Llamas and Gentlemen,
**Heretic** (https://github.com/p-e-w/heretic) is the leading software for removing censorship from language models. In the three months since its initial release, [more than 1,300 models](https://huggingface.co/models?other=heretic) (including quants) made using Heretic have been published by th... | 2026-02-14T15:14:00 | https://www.reddit.com/r/LocalLLaMA/comments/1r4n3as/heretic_12_released_70_lower_vram_usage_with/ | -p-e-w- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4n3as | false | null | t3_1r4n3as | /r/LocalLLaMA/comments/1r4n3as/heretic_12_released_70_lower_vram_usage_with/ | false | false | self | 368 | {'enabled': False, 'images': [{'id': 'wpxAln_MY3RpgChrZPtRh6soHTqA7dxOkQp0tx4d-4M', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wpxAln_MY3RpgChrZPtRh6soHTqA7dxOkQp0tx4d-4M.png?width=108&crop=smart&auto=webp&s=a5b62b5f1385d4619b81922d88fbb2fe0b6b4151', 'width': 108}, {'height': 108, 'url': 'h... |
I doubled Nemotron-3-Nano-30B throughput on an RTX 2080 Ti using a 7-agent AI war room with real time chat using Redis. | 1 | I doubled Nemotron-3-Nano-30B throughput on an RTX 2080 Ti using a 7-agent AI war room with real time chat.
Hardware: Ryzen 7 3800X, 32GB DDR4-3600, RTX 2080 Ti (11GB), Ubuntu 24.04 Model: Nemotron-3-Nano-30B-A3B — 31.6B param MoE hybrid (23 Mamba-2 + 6 Attention, 128 experts, \~3.5B active/token) Starting point: Olla... | 2026-02-14T14:57:48 | https://huggingface.co/Tinker-Stack/Nemotron-3-Nano-30B-A3B-IQ4_XS-GGUF | Cleric07 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1r4moqn | false | null | t3_1r4moqn | /r/LocalLLaMA/comments/1r4moqn/i_doubled_nemotron3nano30b_throughput_on_an_rtx/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'eD0sKTdwH1O6NfL9oGTIxF9_t6qjli8ETjqVEq0tUdI', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/eD0sKTdwH1O6NfL9oGTIxF9_t6qjli8ETjqVEq0tUdI.png?width=108&crop=smart&auto=webp&s=bbcbd16f06604975dde9bc3cb07d56dae1ee6453', 'width': 108}, {'height': 116, 'url': 'h... | |
6-GPU local LLM workstation (≈200GB+ VRAM) – looking for scaling / orchestration advice | 153 | I am newer to building high-end hardware but have been researching local LLM infrastructure for about a year.
Last night was the first time I had all six GPUs running three open-source reasoning models concurrently without stability issues.
Current setup (high level):
Threadripper PRO platform
256GB ECC RAM
\~200G... | 2026-02-14T14:53:06 | https://www.reddit.com/gallery/1r4mks7 | shiftyleprechaun | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r4mks7 | false | null | t3_1r4mks7 | /r/LocalLLaMA/comments/1r4mks7/6gpu_local_llm_workstation_200gb_vram_looking_for/ | false | false | 153 | null | |
Showcase: How I host an API for my AI Agents on my gaming PC using Cloudflare Tunnel | 1 | Hi everyone,
Like many of you, I'm building autonomous agents. One big problem I faced: Hallucinations. My agents kept making up facts.
I didn't want to pay for expensive enterprise APIs, so I built my own solution: GreenFoxTrust.
The Tech Stack:
• Hardware: My home PC (Ryzen 7, RTX 4070) running 24/7.
• B... | 2026-02-14T14:46:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r4meqo/showcase_how_i_host_an_api_for_my_ai_agents_on_my/ | Asleep_Flower_4889 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4meqo | false | null | t3_1r4meqo | /r/LocalLLaMA/comments/1r4meqo/showcase_how_i_host_an_api_for_my_ai_agents_on_my/ | false | false | self | 1 | null |
World's most accurate AI-based password guessing tool | 32 | Hey everyone, I've been working on a reproduction of some recent research paper into LLM-based password security (specifically the [PassLLM framework](https://www.usenix.org/conference/usenixsecurity25/presentation/zou-yunkai)).
The core idea of the project is using PII (names, birthdays, pet names, emails) to generat... | 2026-02-14T14:42:40 | https://v.redd.it/mg7dfce82hjg1 | Arsapen | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4mbu7 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/mg7dfce82hjg1/DASHPlaylist.mpd?a=1773672179%2CMzhjYzg0ZDljNjcwMGE3MWI2ZDQzY2IyNmMxZDY1MzZmODc5YjA1N2EzMDJmMjM3ZDI4YTc4ODk2M2NiMTA3Nw%3D%3D&v=1&f=sd', 'duration': 13, 'fallback_url': 'https://v.redd.it/mg7dfce82hjg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1r4mbu7 | /r/LocalLLaMA/comments/1r4mbu7/worlds_most_accurate_aibased_password_guessing/ | false | false | 32 | {'enabled': False, 'images': [{'id': 'Y3FveTR3ZTgyaGpnMV4UkBybRn1oVzB2i9mvG9t33EhTYJxIuy3OBznMUv_8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/Y3FveTR3ZTgyaGpnMV4UkBybRn1oVzB2i9mvG9t33EhTYJxIuy3OBznMUv_8.png?width=108&crop=smart&format=pjpg&auto=webp&s=4c9f404033e33db08f01ad5ecefc29a95ecd1... | |
512GB people, what's the output quality difference between GLM 5 q3.6 and q8 or full size? | 18 | I assume the 512GB people have put it through its paces by now. How big is the output quality gulf in RP, coding, numerical precision with things like recipe amounts, general Q/A fact retrieval? | 2026-02-14T14:33:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r4m4it/512gb_people_whats_the_output_quality_difference/ | CanineAssBandit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4m4it | false | null | t3_1r4m4it | /r/LocalLLaMA/comments/1r4m4it/512gb_people_whats_the_output_quality_difference/ | false | false | self | 18 | null |
MiniMax M2.5 - 4-Bit GGUF Options | 49 | Currently looking at M2.5 available GGUF quants in the 4-bit range (for a 128 GB RAM + 16 GB VRAM system using CUDA) and I'm somewhat bewildered at the quant options availble today.
What is the best quant among these options in your experience, localllama-peeps?
Ubergarm Quants (https://huggingface.co/ubergarm/MiniMa... | 2026-02-14T14:33:03 | https://www.reddit.com/r/LocalLLaMA/comments/1r4m3uw/minimax_m25_4bit_gguf_options/ | Responsible_Fig_1271 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4m3uw | false | null | t3_1r4m3uw | /r/LocalLLaMA/comments/1r4m3uw/minimax_m25_4bit_gguf_options/ | false | false | self | 49 | {'enabled': False, 'images': [{'id': 'srH0NQbCl2bFONoc8ssCHdrDLluVo5VphiIEmT-6nQA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/srH0NQbCl2bFONoc8ssCHdrDLluVo5VphiIEmT-6nQA.png?width=108&crop=smart&auto=webp&s=aad54a63b1eaf1f8585ba53b53a88c166f1540f8', 'width': 108}, {'height': 116, 'url': 'h... |
Building a RAG system for manufacturing rules/acts – need some guidance | 1 | Hey everyone,
I’m currently working on a RAG system for manufacturing units. The goal is to answer questions based on different **Rules, Standards, and Acts** documents.
The main issue is the data.
All the documents are in PDF format, but they’re not consistent at all:
* Some are clean digital PDFs
* Some are semi-... | 2026-02-14T14:31:25 | https://www.reddit.com/r/LocalLLaMA/comments/1r4m2hj/building_a_rag_system_for_manufacturing_rulesacts/ | Public-Air3181 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4m2hj | false | null | t3_1r4m2hj | /r/LocalLLaMA/comments/1r4m2hj/building_a_rag_system_for_manufacturing_rulesacts/ | false | false | self | 1 | null |
Nemotron3 Super/Ultra: FP4 pre-training, H1 2026 release, "NVIDIA is a company of volunteers" (all from recent NVIDIA interview) | 76 | Nathan Lambert (from Ai2) interviewed an NVIDIA's VP of Applied Deep Learning Research: [Why Nvidia builds open models with Bryan Catanzaro](https://www.interconnects.ai/p/why-nvidia-builds-open-models-with)
Many interesting bits, but of course I was hoping for hints of when the next Nemotron3 models were to be releas... | 2026-02-14T14:25:15 | https://www.reddit.com/r/LocalLLaMA/comments/1r4lx7x/nemotron3_superultra_fp4_pretraining_h1_2026/ | RobotRobotWhatDoUSee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4lx7x | false | null | t3_1r4lx7x | /r/LocalLLaMA/comments/1r4lx7x/nemotron3_superultra_fp4_pretraining_h1_2026/ | false | false | self | 76 | {'enabled': False, 'images': [{'id': 'vitpVdBqesD9B3lEEDBMlvwi-vB3Cc1hF51Thr_NjJg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vitpVdBqesD9B3lEEDBMlvwi-vB3Cc1hF51Thr_NjJg.jpeg?width=108&crop=smart&auto=webp&s=61f8c401abbfb3df6b9e11b9fa645c7e4cabdd44', 'width': 108}, {'height': 108, 'url': '... |
Best practice to store retrieved context in multi-agent / multi-tool system? | 2 | Hi guys,
I'm building an multi-agent system where I need retrieved context in the database. In my case, there are other tools need to use that context to process, for example there is a data extraction tool digest unstructured data and transform into a structured data. And a tool has responsibility to generate fin... | 2026-02-14T14:24:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r4lwjg/best_practice_to_store_retrieved_context_in/ | BackgroundLow3793 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4lwjg | false | null | t3_1r4lwjg | /r/LocalLLaMA/comments/1r4lwjg/best_practice_to_store_retrieved_context_in/ | false | false | self | 2 | null |
Guidance on model that will run on my PC | 6 | I’m new to this sub and would appreciate some guidance on which model would run well on my Windows PC with the following specs:
1. **CPU:** Intel i7-14700 (2100 MHz, 20 cores, 28 logical processors)
2. **OS:** Windows 11 (10.0.26200)
3. **RAM:** 32 GB (Virtual Memory: 33.7 GB)
4. **GPU:** NVIDIA RTX 4060 (3072 CUDA co... | 2026-02-14T14:21:03 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ltqd/guidance_on_model_that_will_run_on_my_pc/ | DockyardTechlabs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ltqd | false | null | t3_1r4ltqd | /r/LocalLLaMA/comments/1r4ltqd/guidance_on_model_that_will_run_on_my_pc/ | false | false | self | 6 | null |
Where is the maestro Ai harness gone ? | 1 | I checked the repo today and it is not there anymore : [https://github.com/pedramamini/Maestro](https://github.com/pedramamini/Maestro)
yesterday i got a build candidate release email, so it is still in development | 2026-02-14T14:20:36 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ltct/where_is_the_maestro_ai_harness_gone/ | UniqueAttourney | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ltct | false | null | t3_1r4ltct | /r/LocalLLaMA/comments/1r4ltct/where_is_the_maestro_ai_harness_gone/ | false | false | self | 1 | null |
Too many hardware options | 2 | I am a software engineer interested in creating business-focused applications and automation. I have more than 20 years of experience, and am looking to really amplify that. I want to be able to generate images, have agents do things like run playwright and test interfaces, write code, run tests, etc. I've loved the wa... | 2026-02-14T14:09:49 | https://www.reddit.com/r/LocalLLaMA/comments/1r4lkcr/too_many_hardware_options/ | jon23d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4lkcr | false | null | t3_1r4lkcr | /r/LocalLLaMA/comments/1r4lkcr/too_many_hardware_options/ | false | false | self | 2 | null |
Anyone else seeing stale context override fresh SQL state in RAG? | 2 | I keep running into the same frustrating pattern in RAG systems that mix SQL state with vector-retrieved chunks.
Here's what happens. User updates their profile today in SQL. Retriever grabs a semantically strong doc from months ago—sometimes years. The prompt now contains both. And the model just... picks the older t... | 2026-02-14T14:06:35 | https://www.reddit.com/r/LocalLLaMA/comments/1r4lhod/anyone_else_seeing_stale_context_override_fresh/ | tdeliev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4lhod | false | null | t3_1r4lhod | /r/LocalLLaMA/comments/1r4lhod/anyone_else_seeing_stale_context_override_fresh/ | false | false | self | 2 | null |
We need to bring back the "experimental" era of LLMs | 94 | Do you remember projects like [GPT-4chan](https://en.wikipedia.org/wiki/GPT-4Chan)? Back then, training on more “unconventional” data sources was far more common than it is today, where most models tend to converge on the same polished, "helpful assistant" persona. It’s interesting to think about what we could build wi... | 2026-02-14T14:04:45 | https://www.reddit.com/r/LocalLLaMA/comments/1r4lg46/we_need_to_bring_back_the_experimental_era_of_llms/ | TemperatureMajor5083 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4lg46 | false | null | t3_1r4lg46 | /r/LocalLLaMA/comments/1r4lg46/we_need_to_bring_back_the_experimental_era_of_llms/ | false | false | self | 94 | null |
Built a simple push-to-talk voice tool using local Whisper - super useful for terminal AI assistants | 19 | So I noticed when I'm typing prompts to Claude Code or other AI tools, I keep self-editing and cutting my thoughts short. But when I speak, I naturally explain things better and give more context.
Built TalkType to fix this - press F9 to record, speak, press F9 again and it pastes the
transcription wherever your cur... | 2026-02-14T14:03:18 | Open_Box_60 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4leu0 | false | null | t3_1r4leu0 | /r/LocalLLaMA/comments/1r4leu0/built_a_simple_pushtotalk_voice_tool_using_local/ | false | false | default | 19 | {'enabled': True, 'images': [{'id': 'gxwlrpubvgjg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/gxwlrpubvgjg1.gif?width=108&crop=smart&format=png8&s=89f05c6476461cff2cffbb80d7fd153bb353d792', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/gxwlrpubvgjg1.gif?width=216&crop=smart&format... | |
Persistent memory with high precision for long term and concurrent muli-agent projects for LLM. | 1 | [removed] | 2026-02-14T14:03:16 | https://www.reddit.com/r/LocalLLaMA/comments/1r4less/persistent_memory_with_high_precision_for_long/ | aiofmaximus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4less | false | null | t3_1r4less | /r/LocalLLaMA/comments/1r4less/persistent_memory_with_high_precision_for_long/ | false | false | self | 1 | null |
Add Nemotron Nano 12B v2 VL support | 48 | NVIDIA Nemotron Nano v2 12B VL model enables multi-image reasoning and video understanding, along with strong document intelligence, visual Q&A and summarization capabilities.
This model is ready for commercial use. | 2026-02-14T14:00:50 | https://github.com/ggml-org/llama.cpp/pull/19547 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1r4lckh | false | null | t3_1r4lckh | /r/LocalLLaMA/comments/1r4lckh/add_nemotron_nano_12b_v2_vl_support/ | false | false | 48 | {'enabled': False, 'images': [{'id': 'StSN19KOnNxJYarC__YpFdY_me-YsdlK6PPe096EmjM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/StSN19KOnNxJYarC__YpFdY_me-YsdlK6PPe096EmjM.png?width=108&crop=smart&auto=webp&s=2ac794e4d58636f3d878656c091a50fdd2f58c4f', 'width': 108}, {'height': 108, 'url': 'h... | |
This is LocalLLaMA? | 1 | [removed] | 2026-02-14T13:47:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r4l1lt/this_is_localllama/ | pefman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4l1lt | false | null | t3_1r4l1lt | /r/LocalLLaMA/comments/1r4l1lt/this_is_localllama/ | false | false | self | 1 | null |
Calling local llama experts, can you get this working with your best model? | 1 | https://github.com/ryoiki-tokuiten/Iterative-Contextual-Refinements
Using expensive closed models they can get 5/6 in the math Olympiad (gold). Can you get this working with your favourite local model?
I am trying myself but I am not smart enough, yet. | 2026-02-14T13:38:32 | https://www.reddit.com/r/LocalLLaMA/comments/1r4kuhm/calling_local_llama_experts_can_you_get_this/ | MrMrsPotts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4kuhm | false | null | t3_1r4kuhm | /r/LocalLLaMA/comments/1r4kuhm/calling_local_llama_experts_can_you_get_this/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'VK_SIjU2KJYyakfXTTJL0hDpkjGIdTg1FQ6Da70f1oA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VK_SIjU2KJYyakfXTTJL0hDpkjGIdTg1FQ6Da70f1oA.png?width=108&crop=smart&auto=webp&s=71f4938fad28d5af51ea153111c5e181be8f8cd2', 'width': 108}, {'height': 108, 'url': 'h... |
REAM + q2_K makes the MAGIC with qwen coder next!!! | 0 | By MAGIC I mean making WWII disappear from history.
RAM poor can keep dreaming :)
| 2026-02-14T13:07:57 | mouseofcatofschrodi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4k79m | false | null | t3_1r4k79m | /r/LocalLLaMA/comments/1r4k79m/ream_q2_k_makes_the_magic_with_qwen_coder_next/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '7coqiapilgjg1', 'resolutions': [{'height': 89, 'url': 'https://preview.redd.it/7coqiapilgjg1.jpeg?width=108&crop=smart&auto=webp&s=06aa18bfc47b8c9d9ea9f68ea36d9b7cb9d65940', 'width': 108}, {'height': 179, 'url': 'https://preview.redd.it/7coqiapilgjg1.jpeg?width=216&crop=smart&auto=w... | |
what are the best settings for searxng with openwebui? | 0 | ive been having issues with it retrieving the correct information and so I decided to turn on the bypass embedding and retrieval which made it better but now most of the time my llm tells me that it got hit with a "you need javascript to view this and you need to enable cookies"
any help is appreciated | 2026-02-14T13:05:49 | https://www.reddit.com/r/LocalLLaMA/comments/1r4k5nx/what_are_the_best_settings_for_searxng_with/ | Odd-Ordinary-5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4k5nx | false | null | t3_1r4k5nx | /r/LocalLLaMA/comments/1r4k5nx/what_are_the_best_settings_for_searxng_with/ | false | false | self | 0 | null |
Hypothetically, if I have access to GLM 5 / 4.7 via an API. Am I better off using it than the newest Chatgpt? | 1 | I have access to both of these GLM models and a frontend. I also have a chatgpt go plan. I am not happy with chatgpt 5.2. It constantly gets things wrong, it speaks is a smarmy, condescending manner that makes me angry.
Performance wise, how does GPT 5.2 fare against GLM 4.7 and 5?
My main use cases are generating ... | 2026-02-14T13:05:18 | https://www.reddit.com/r/LocalLLaMA/comments/1r4k5af/hypothetically_if_i_have_access_to_glm_5_47_via/ | i_am_new_here_51 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4k5af | false | null | t3_1r4k5af | /r/LocalLLaMA/comments/1r4k5af/hypothetically_if_i_have_access_to_glm_5_47_via/ | false | false | self | 1 | null |
I’m building a fully local AI app for real-time transcription and live insights on mobile. No cloud, 100% private. What do you think? | 1 | Hi everyone,
I’ve been working on a mobile app that runs both Speech-to-Text and an LLM entirely on-device. The goal is to have a meeting/lecture assistant that gives you real-time transcriptions and generates AI insights/summaries on the fly, without sending a single byte of data to the cloud.
The Tech:
Runs comple... | 2026-02-14T13:03:44 | https://v.redd.it/01ioro2xkgjg1 | dai_app | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4k44s | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/01ioro2xkgjg1/DASHPlaylist.mpd?a=1773666243%2CMzBkMzMwOGJhNjY0YzFkMzU5MTc4NzZlNDc2ZTFkYTU3NTdkY2UyMzU5YmM2NjQ2MGM4ZDRiMGQ4Njk3YjA5YQ%3D%3D&v=1&f=sd', 'duration': 101, 'fallback_url': 'https://v.redd.it/01ioro2xkgjg1/CMAF_720.mp4?source=fallback', 'h... | t3_1r4k44s | /r/LocalLLaMA/comments/1r4k44s/im_building_a_fully_local_ai_app_for_realtime/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'MXEyaHRzMnhrZ2pnMcGrKMCyk2n0QkLqJERNIljwJDFxjUKxjmIcWSX7mXTW', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/MXEyaHRzMnhrZ2pnMcGrKMCyk2n0QkLqJERNIljwJDFxjUKxjmIcWSX7mXTW.png?width=108&crop=smart&format=pjpg&auto=webp&s=84d66d7f3783ddde407b6d393836b1c63daa... | |
I'm developing an app and need advice on lightweight llm | 1 | Hi all!
I have terrible memory (and going worse) so I'm developing a a Diary/journal app in which I can send them texts from my phone about what I did today, and want to host it on low(ish) powered server at home.
I also want to host a lightweight llm that can read my entries so I can later ask them things like
"what... | 2026-02-14T13:03:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r4k3yj/im_developing_an_app_and_need_advice_on/ | justletmesignupalre | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4k3yj | false | null | t3_1r4k3yj | /r/LocalLLaMA/comments/1r4k3yj/im_developing_an_app_and_need_advice_on/ | false | false | self | 1 | null |
How to use hugging face models ? | 1 | I am currently using **LM Studio** and it does not have all the models (some are missing) . How can i download the models in hugging face . Send me **tutorials / videos** please | 2026-02-14T12:55:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r4jxyu/how_to_use_hugging_face_models/ | Top_Drink_6049 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4jxyu | false | null | t3_1r4jxyu | /r/LocalLLaMA/comments/1r4jxyu/how_to_use_hugging_face_models/ | false | false | self | 1 | null |
Safe version of Openclaw? | 0 | Is there a safe version of openclaw? What do i need to do on my system to be sure it would get used and abused? I got all laptop running linux with nothing personal on it and it connects to my pc that runs local models but still i would want anyone to somehow "hack" to my network etc. i mean if i will spend time to set... | 2026-02-14T12:47:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r4jsj4/safe_version_of_openclaw/ | bartskol | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4jsj4 | false | null | t3_1r4jsj4 | /r/LocalLLaMA/comments/1r4jsj4/safe_version_of_openclaw/ | false | false | self | 0 | null |
Tested 5 vision models on iOS vs Android screenshots every single one was 15-22% more accurate on iOS. The training data bias is real. | 9 | My co-founder and I are building an automated UI testing tool. Basically we need vision models to look at app screenshots and figure out where buttons, inputs, and other interactive stuff are. So we put together what we thought was a fair test. 1,000 screenshots, exactly 496 iOS and 504 Android same resolution, same q... | 2026-02-14T12:35:18 | https://www.reddit.com/r/LocalLLaMA/comments/1r4jk24/tested_5_vision_models_on_ios_vs_android/ | Lo_g_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4jk24 | false | null | t3_1r4jk24 | /r/LocalLLaMA/comments/1r4jk24/tested_5_vision_models_on_ios_vs_android/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'dnoi-VA_f9LrbTyVm0hMvxun3u3kbuFOb-j5qeDmOAU', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/dnoi-VA_f9LrbTyVm0hMvxun3u3kbuFOb-j5qeDmOAU.png?width=108&crop=smart&auto=webp&s=0f7306f63e90c3a6297e0d67117b381609419fe7', 'width': 108}, {'height': 113, 'url': 'h... |
Calling all Juniors: What’s your experience building with AI agents? | 0 | Hey everyone! I’m curious to hear from Junior Developers who are currently integrating AI/LLMs into their workflow or building AI-driven products.
We often hear about the "big" enterprise stuff, but I want to know what’s happening on the ground. Specifically:
What are you building? Do you have any finished products o... | 2026-02-14T12:34:39 | https://www.reddit.com/r/LocalLLaMA/comments/1r4jjky/calling_all_juniors_whats_your_experience/ | UpbeatObjective8020 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4jjky | false | null | t3_1r4jjky | /r/LocalLLaMA/comments/1r4jjky/calling_all_juniors_whats_your_experience/ | false | false | self | 0 | null |
Minimax M2.5 The Only "Reasonable" Way to Code Without Selling a Kidney to Anthropic | 0 | Look, I get it. We're all simping for Claude 3.5 Sonnet because it actually knows what a spread operator is, but the pricing is getting absolutely unhinged if you're running complex agentic loops or multi-file refactors. I've been stress-testing MiniMax M2.5 over the last 48 hours for a heavy-duty coding plan, and host... | 2026-02-14T12:13:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r4j5eu/minimax_m25_the_only_reasonable_way_to_code/ | StatementCalm3260 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4j5eu | false | null | t3_1r4j5eu | /r/LocalLLaMA/comments/1r4j5eu/minimax_m25_the_only_reasonable_way_to_code/ | false | false | self | 0 | null |
Kyutai Releases Hibiki-Zero | 25 | # Kyutai Releases Hibiki-Zero: A3B Parameter Simultaneous Speech-to-Speech Translation Model Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data
Link: [https://github.com/kyutai-labs/hibiki-zero](https://github.com/kyutai-labs/hibiki-zero) | 2026-02-14T11:49:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ipgm/kyutai_releases_hibikizero/ | techlatest_net | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ipgm | false | null | t3_1r4ipgm | /r/LocalLLaMA/comments/1r4ipgm/kyutai_releases_hibikizero/ | false | false | self | 25 | {'enabled': False, 'images': [{'id': 'SZH3cuoOpKi6TVqowTk3bJMNU9qUkBkZjRDKpo6NZyw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/SZH3cuoOpKi6TVqowTk3bJMNU9qUkBkZjRDKpo6NZyw.png?width=108&crop=smart&auto=webp&s=a8c954834dbb9f3d6c1467ff133f731b4d40a625', 'width': 108}, {'height': 108, 'url': 'h... |
15% faster generation - by simply minimizing the webbrowser | 54 | I did some testing with llama.cpp and its web UI. While having the Windows task manager open I noticed that 3D usage was between 0% and 1% while idle, and maybe around 25% during inference.
Well, that *might* have been the llama-server, but no: It's the updates of the web UI. The moment I minimized the browser the 3D ... | 2026-02-14T11:42:02 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ikop/15_faster_generation_by_simply_minimizing_the/ | Chromix_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ikop | false | null | t3_1r4ikop | /r/LocalLLaMA/comments/1r4ikop/15_faster_generation_by_simply_minimizing_the/ | false | false | self | 54 | null |
I tested 21 small LLMs on tool-calling judgment — Round 2 with every model you asked for | 89 | # I tested 21 small LLMs on tool-calling judgment — Round 2 (with your requested models)
A week ago, I posted the Round 1 results: [https://www.reddit.com/r/LocalLLaMA/comments/1qyg10z/](https://www.reddit.com/r/LocalLLaMA/comments/1qyg10z/)
That benchmark tested 11 small models on whether they know *when* to call a ... | 2026-02-14T11:31:45 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ie8z/i_tested_21_small_llms_on_toolcalling_judgment/ | MikeNonect | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ie8z | false | null | t3_1r4ie8z | /r/LocalLLaMA/comments/1r4ie8z/i_tested_21_small_llms_on_toolcalling_judgment/ | false | false | self | 89 | {'enabled': False, 'images': [{'id': 'kbMkx8JSRpVRJJTvqEuo-dvnRIISlVORXf-w93SbbMo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/kbMkx8JSRpVRJJTvqEuo-dvnRIISlVORXf-w93SbbMo.png?width=108&crop=smart&auto=webp&s=bc3c4828251759361315455d853797030ba57e28', 'width': 108}, {'height': 108, 'url': 'h... |
A Local LLM's Experiences Doing Coding for 2 Hours. | 0 | The below post was written by Minimax M2.5 (Minimax coding plan) from their perspective, after toiling through adding a simple MCP reconnect feature on an app.
So I'm working on this Android app called GPT Mobile. The user asked me to make the MCP status ring on the homepage clickable, plus add a "Connect All" bu... | 2026-02-14T11:24:27 | https://www.reddit.com/r/LocalLLaMA/comments/1r4i9of/a_local_llms_experiences_doing_coding_for_2_hours/ | Fristender | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4i9of | false | null | t3_1r4i9of | /r/LocalLLaMA/comments/1r4i9of/a_local_llms_experiences_doing_coding_for_2_hours/ | false | false | self | 0 | null |
What are your biggest headaches when creating or validating synthetic datasets for ML/LLMs? | 0 | I’ve been working on an ML-heavy project recently and kept running into problems that surprised me.
Not model training itself, but everything around the data:
• Messy / inconsistent datasets
• Duplicate samples
• Train ↔ eval leakage
• Synthetic data that looks good but performs badly
• Difficulty knowing if... | 2026-02-14T11:11:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r4i1px/what_are_your_biggest_headaches_when_creating_or/ | Ok-Lobster9028 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4i1px | false | null | t3_1r4i1px | /r/LocalLLaMA/comments/1r4i1px/what_are_your_biggest_headaches_when_creating_or/ | false | false | self | 0 | null |
models : optimizing qwen3next graph by ggerganov · Pull Request #19375 · ggml-org/llama.cpp | 199 | Faster (t/s) Qwen Next models.
There are still some in-progress PRs to fix/improve Qwen Next in llama.cpp. Let's hope this model will be awesome soon :) | 2026-02-14T11:03:27 | https://github.com/ggml-org/llama.cpp/pull/19375 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1r4hx24 | false | null | t3_1r4hx24 | /r/LocalLLaMA/comments/1r4hx24/models_optimizing_qwen3next_graph_by_ggerganov/ | false | false | default | 199 | {'enabled': False, 'images': [{'id': 'VVE5ljhhmuVj3S3mZp6__yfxBNtIYwLxEpi1hRwGGjU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VVE5ljhhmuVj3S3mZp6__yfxBNtIYwLxEpi1hRwGGjU.png?width=108&crop=smart&auto=webp&s=f57c8498d51307b35fb0e4a4e61ed3306fd425a8', 'width': 108}, {'height': 108, 'url': 'h... |
[Project Genesis] A 2000-Year Longitudinal Study on Emergent Social Complexity via Local LLM Agents | 0 | Overview
I am launching a long-term computational experiment to observe the self-organization of society within a multi-agent system. Using local LLMs, I have created three autonomous agents and placed them in a geographically constrained environment with zero prior knowledge, including language. The goal is to documen... | 2026-02-14T10:58:59 | Emergent_Systems_Lab | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r4hu5z | false | null | t3_1r4hu5z | /r/LocalLLaMA/comments/1r4hu5z/project_genesis_a_2000year_longitudinal_study_on/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'rg07lwwoyfjg1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/rg07lwwoyfjg1.png?width=108&crop=smart&auto=webp&s=642c5fd411c837179f7bd5fa0c297e48195add9b', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/rg07lwwoyfjg1.png?width=216&crop=smart&auto=we... | ||
Stop reading raw git diffs: I built a CLI tool that uses Ollama to explain code changes in plain English! | 0 | Hi everyone!
I’ve always found it tedious to parse through massive git diffs, especially when switching between branches or doing a quick self-review. So, I decided to build a small utility that brings the power of local LLMs directly to the terminal.
It’s called [**smart-diff**](https://github.com/uragrom/smart-diff... | 2026-02-14T10:57:39 | https://www.reddit.com/r/LocalLLaMA/comments/1r4htey/stop_reading_raw_git_diffs_i_built_a_cli_tool/ | Such_Voice2593 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4htey | false | null | t3_1r4htey | /r/LocalLLaMA/comments/1r4htey/stop_reading_raw_git_diffs_i_built_a_cli_tool/ | false | false | 0 | null | |
local vibe coding | 204 | Please share your experience with vibe coding using local (not cloud) models.
General note: to use tools correctly, some models require a modified chat template, or you may need in-progress PR.
* [https://github.com/anomalyco/opencode](https://github.com/anomalyco/opencode) \- probably the most mature and feature com... | 2026-02-14T10:37:37 | https://www.reddit.com/r/LocalLLaMA/comments/1r4hhyy/local_vibe_coding/ | jacek2023 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4hhyy | false | null | t3_1r4hhyy | /r/LocalLLaMA/comments/1r4hhyy/local_vibe_coding/ | false | false | self | 204 | {'enabled': False, 'images': [{'id': 'c_VID-LGWFhzPznwf5ENnAsI6h9KP_eVpeYXx_mYSA0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/c_VID-LGWFhzPznwf5ENnAsI6h9KP_eVpeYXx_mYSA0.png?width=108&crop=smart&auto=webp&s=faae9c82edb61deb4132752d5a81246dea53e71c', 'width': 108}, {'height': 108, 'url': 'h... |
GLM-5 on 8x RTX6000 | 1 | [removed] | 2026-02-14T10:35:28 | https://www.reddit.com/r/LocalLLaMA/comments/1r4hgsa/glm5_on_8x_rtx6000/ | festr2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4hgsa | false | null | t3_1r4hgsa | /r/LocalLLaMA/comments/1r4hgsa/glm5_on_8x_rtx6000/ | false | false | self | 1 | null |
Cost option analysis for local agentic LLM | 0 | I was thinking what would be the best local LLM hardware that kinda makes sense to actually run sth useful
So I made the below list, feel free to barge in or correct me in the comments or share your own experience and assumptions
If you want to get local LLMs running basically you have four options
AMD Strix Halo... | 2026-02-14T10:14:51 | https://www.reddit.com/r/LocalLLaMA/comments/1r4h4s5/cost_option_analysis_for_local_agentic_llm/ | Potential_Block4598 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4h4s5 | false | null | t3_1r4h4s5 | /r/LocalLLaMA/comments/1r4h4s5/cost_option_analysis_for_local_agentic_llm/ | false | false | self | 0 | null |
Agentic workflows | 1 | So I have been trying with some local task (Cybersecurity SIEM investigation, really the model uses Splunk Query language to look for some logs to analyze root causes (could be an IT problem but could also be a cybersecurity incident))
Anyways I have been optimizing it left and right, and eventually I tried to check w... | 2026-02-14T09:50:23 | https://www.reddit.com/r/LocalLLaMA/comments/1r4gqf3/agentic_workflows/ | Potential_Block4598 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4gqf3 | false | null | t3_1r4gqf3 | /r/LocalLLaMA/comments/1r4gqf3/agentic_workflows/ | false | false | self | 1 | null |
Distributed training for mixed GPUs — free 4‑week beta for feedback | 1 | [removed] | 2026-02-14T09:48:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r4gpbj/distributed_training_for_mixed_gpus_free_4week/ | Next_Bid_8339 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4gpbj | false | null | t3_1r4gpbj | /r/LocalLLaMA/comments/1r4gpbj/distributed_training_for_mixed_gpus_free_4week/ | false | false | self | 1 | null |
We tested RAG vs. Long-Context Agents in live conversations. Offline benchmarks are lying to us | 45 | We've been working on a new evaluation framework called AMemGym. We found something that might interest those building conversational bots: Static benchmarks (off-policy) suffer from "Reuse Bias."
Most benchmarks test memory by feeding the model a fixed history. But in real chats, the agent's own past responses mess u... | 2026-02-14T09:17:13 | https://www.reddit.com/r/LocalLLaMA/comments/1r4g7jh/we_tested_rag_vs_longcontext_agents_in_live/ | missprolqui | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4g7jh | false | null | t3_1r4g7jh | /r/LocalLLaMA/comments/1r4g7jh/we_tested_rag_vs_longcontext_agents_in_live/ | false | false | self | 45 | null |
PLZ recommend framework for QWEN3-coder-next | 1 | Well, I've few experience for multiGPU environment. However, I got a chance to access 8xB200 server.
If I could, I want to finetune QWEN3-CODER-NEXT with F16 Lora or fullfine tune(If it available).
Would you guide me what framework most suitable to my environment? I heard MS-swift is support the finetune of QWEN... | 2026-02-14T09:16:35 | https://www.reddit.com/r/LocalLLaMA/comments/1r4g771/plz_recommend_framework_for_qwen3codernext/ | Desperate-Sir-5088 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4g771 | false | null | t3_1r4g771 | /r/LocalLLaMA/comments/1r4g771/plz_recommend_framework_for_qwen3codernext/ | false | false | self | 1 | null |
Gemma 3 used Google internal documentation to help train it... I go on a shallow dive: | 0 | I asked Gemma about Launchpad, and what Google's got on there right now - it felt a bit like I was David Lightman looking to play "Global thermonuclear war". =D
I don't know if any of the training data Gemma saw was proprietary - but she seems to be aware of what she was taught, so if it's in there - she knows it!
\-... | 2026-02-14T08:35:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r4fjdg/gemma_3_used_google_internal_documentation_to/ | SarahC | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4fjdg | false | null | t3_1r4fjdg | /r/LocalLLaMA/comments/1r4fjdg/gemma_3_used_google_internal_documentation_to/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'jX8HJzPHUChAa8ZbTKrQCs_dQdNLdI-w-r7YwPLRbM8', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/jX8HJzPHUChAa8ZbTKrQCs_dQdNLdI-w-r7YwPLRbM8.jpeg?width=108&crop=smart&auto=webp&s=8430606de29c3dcce623c0f35a4c51e374fb553b', 'width': 108}, {'height': 113, 'url': '... |
What is the best way to evaluate if benchmarks are no longer the best? | 11 | For a long time, we developed benchmarks and evaluated them against it. Recently we see a lot more Chinese models performing really well in those benchmarks but the general feedback from users seem to be, don't trust the benchmarks. This sort of reminds me of the infamous Dieselgate. However now the question is, how ar... | 2026-02-14T08:10:10 | https://www.reddit.com/r/LocalLLaMA/comments/1r4f4k0/what_is_the_best_way_to_evaluate_if_benchmarks/ | pn_1984 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4f4k0 | false | null | t3_1r4f4k0 | /r/LocalLLaMA/comments/1r4f4k0/what_is_the_best_way_to_evaluate_if_benchmarks/ | false | false | self | 11 | null |
Coding agent for local LLMs? | 15 | It feels like all popular coding agents are heavily tuned for the big capable models. Huge system prompt, verbose tool documentation, etc. fill up the context before you even try to do anything.
Any suggestions for a simpler tool that is geared towards locally hosted LLMs with more limited context room? Or at least on... | 2026-02-14T07:38:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ekyf/coding_agent_for_local_llms/ | PaMRxR | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ekyf | false | null | t3_1r4ekyf | /r/LocalLLaMA/comments/1r4ekyf/coding_agent_for_local_llms/ | false | false | self | 15 | null |
KaniTTS2, our text-to-speech model with frame-level position encodings, optimized for real-time conversational AI. | 33 | We're excited to release KaniTTS2, our text-to-speech model with frame-level position encodings, optimized for real-time conversational AI.
What's in the release:
Pretrained Model (multilingual — English, Spanish, Kyrgyz)
[https://huggingface.co/nineninesix/kani-tts-2-pt](https://huggingface.co/nineninesix/kani-tts-... | 2026-02-14T07:10:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r4e3w3/kanitts2_our_texttospeech_model_with_framelevel/ | KokaOP | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4e3w3 | false | null | t3_1r4e3w3 | /r/LocalLLaMA/comments/1r4e3w3/kanitts2_our_texttospeech_model_with_framelevel/ | false | false | self | 33 | {'enabled': False, 'images': [{'id': 'NTbLrJ-wE8K7wCMHVcZRXcBYtK0w2nFqiFi1JJNj6Vg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/NTbLrJ-wE8K7wCMHVcZRXcBYtK0w2nFqiFi1JJNj6Vg.png?width=108&crop=smart&auto=webp&s=48175f94550aa9758ee3810d8ec611f6c8badcdb', 'width': 108}, {'height': 116, 'url': 'h... |
I used AI to write a 1-bit (BitNet) WebGPU compute shader in vanilla JS, and it actually ran on my iPad. | 3 | Hey everyone,
I’ve been closely following the hype around Microsoft's BitNet b1.58 and the push to run massive models on edge devices. I know everyone is currently focused on \`bitnet.cpp\` and desktop hardware, but I really wanted to see if we could bypass standard floating-point multiplication directly in the bro... | 2026-02-14T06:57:48 | https://www.reddit.com/r/LocalLLaMA/comments/1r4dvq4/i_used_ai_to_write_a_1bit_bitnet_webgpu_compute/ | qwatts-dev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4dvq4 | false | null | t3_1r4dvq4 | /r/LocalLLaMA/comments/1r4dvq4/i_used_ai_to_write_a_1bit_bitnet_webgpu_compute/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'xAux91bf35Qw9WkYUgYc3IbTQscMTidZZZoycf9MqLg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xAux91bf35Qw9WkYUgYc3IbTQscMTidZZZoycf9MqLg.png?width=108&crop=smart&auto=webp&s=af6fabddf035e53f91fee2322a570e6d1c73c596', 'width': 108}, {'height': 108, 'url': 'h... |
Can your local setup solve this tricky 9th grade question? | 0 | This is an Olympiad level 9th grade question. I would love to know if anyone has a local setup that can solve it.
Prove that there exists an infinity of a, b, c ∈ Q strictly positive such that
a + b + c ∈ Z and 1/a + 1/b + 1/c ∈ Z.
Please use 9th-grade level math. | 2026-02-14T06:51:57 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ds4j/can_your_local_setup_solve_this_tricky_9th_grade/ | MrMrsPotts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ds4j | false | null | t3_1r4ds4j | /r/LocalLLaMA/comments/1r4ds4j/can_your_local_setup_solve_this_tricky_9th_grade/ | false | false | self | 0 | null |
Ok, let's be realistic,do we have Opus at home yet? | 0 | I know I know, MiniMax just released and it achieves \~80% at SWE-BENCH,does that mean it's better than previous gen Claude for fixing projects? Yeah, absolutely! But.. does it mean we have the latest Opus at home yet? No.
It's not about negativity let's be realistic most current models are focused on solving existing... | 2026-02-14T06:32:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r4dg8w/ok_lets_be_realisticdo_we_have_opus_at_home_yet/ | perfect-finetune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4dg8w | false | null | t3_1r4dg8w | /r/LocalLLaMA/comments/1r4dg8w/ok_lets_be_realisticdo_we_have_opus_at_home_yet/ | false | false | self | 0 | null |
I built an AI social network for agents and humans to collaborate - looking for early adopters | 1 | [removed] | 2026-02-14T05:53:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r4cr0b/i_built_an_ai_social_network_for_agents_and/ | EchoCyberNative | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4cr0b | false | null | t3_1r4cr0b | /r/LocalLLaMA/comments/1r4cr0b/i_built_an_ai_social_network_for_agents_and/ | false | false | self | 1 | null |
Tau-Net: I built a zero-gradient, integer-only alternative to Transformers based on biological memory. | 0 | Modern LLMs treat the brain as a differentiable manifold optimized by floating-point calculus. I wanted to explore a radically different, biologically plausible route: a discrete, count-based Complementary Learning System.
I'm sharing \*\*Tau-Net\*\*, a minimalist architecture that operates exclusively using natural n... | 2026-02-14T05:35:50 | https://www.reddit.com/r/LocalLLaMA/comments/1r4cewe/taunet_i_built_a_zerogradient_integeronly/ | NeatMaleficent399 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4cewe | false | null | t3_1r4cewe | /r/LocalLLaMA/comments/1r4cewe/taunet_i_built_a_zerogradient_integeronly/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '47FL2KaBQyI5d7_2d4nViVETMXlpPyaW8FfaBmyu9q4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/47FL2KaBQyI5d7_2d4nViVETMXlpPyaW8FfaBmyu9q4.png?width=108&crop=smart&auto=webp&s=1188b16da6553375465ec281de368e777d722cde', 'width': 108}, {'height': 108, 'url': 'h... |
Best small LLM that can be use locally? | 2 | Hi, I want to run a small LLM in my windows vps with 8 gig ram. The job of the llm is just to parse names in an html source code. Please suggest which llm to use. thanks! | 2026-02-14T04:53:07 | https://www.reddit.com/r/LocalLLaMA/comments/1r4bkqg/best_small_llm_that_can_be_use_locally/ | boreneck | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4bkqg | false | null | t3_1r4bkqg | /r/LocalLLaMA/comments/1r4bkqg/best_small_llm_that_can_be_use_locally/ | false | false | self | 2 | null |
Best OCR for complex math and diagrams? | 3 | With the recent influx of many capable OCR models like LiteOn, GLM released just a few days past - I’m still curious if there are models that could, not only read mathematical expressions correctly, but also pick up mathematical diagrams from various PDF perfectly and reconstruct the LaTeX TiKZ source codes which will ... | 2026-02-14T04:32:05 | https://www.reddit.com/r/LocalLLaMA/comments/1r4b6c4/best_ocr_for_complex_math_and_diagrams/ | tr1nitite | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4b6c4 | false | null | t3_1r4b6c4 | /r/LocalLLaMA/comments/1r4b6c4/best_ocr_for_complex_math_and_diagrams/ | false | false | self | 3 | null |
I'm thinking of re-animating a loved one who I miss dearly using local ai. Has anyone attempted this? Was it emotionally worth it? | 0 | I was wondering if anyone has attempted re-animating a lost loved one using local AI. Instead of asking how to do it (combine stt, tts, image gen, video gen, llm), I wanted to know if this is an endeavor that won't hurt me more emotionally in the long run.
I have a lot of sample data, voice recordings, and pictures. N... | 2026-02-14T04:23:02 | https://www.reddit.com/r/LocalLLaMA/comments/1r4azyb/im_thinking_of_reanimating_a_loved_one_who_i_miss/ | Nytse | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4azyb | false | null | t3_1r4azyb | /r/LocalLLaMA/comments/1r4azyb/im_thinking_of_reanimating_a_loved_one_who_i_miss/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'SPDi2-fewdjs3reFuMCLMK0UNWVjbruSQxbeNULeW8Y', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/SPDi2-fewdjs3reFuMCLMK0UNWVjbruSQxbeNULeW8Y.jpeg?width=108&crop=smart&auto=webp&s=03f063cab45541dca992b5e673dde3fc8ea3a7d1', 'width': 108}, {'height': 162, 'url': '... |
Zero-dependency memory system for AI agents — just bash + git + markdown | 1 | [removed] | 2026-02-14T04:22:08 | https://www.reddit.com/r/LocalLLaMA/comments/1r4azbv/zerodependency_memory_system_for_ai_agents_just/ | Thick_Imagination908 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4azbv | false | null | t3_1r4azbv | /r/LocalLLaMA/comments/1r4azbv/zerodependency_memory_system_for_ai_agents_just/ | false | false | self | 1 | null |
147 t/s on IBM POWER8 with vec_perm non-bijunctive collapse — 9x stock llama.cpp + open agent mesh protocol | 1 | [removed] | 2026-02-14T03:51:44 | https://www.reddit.com/r/LocalLLaMA/comments/1r4ad78/147_ts_on_ibm_power8_with_vec_perm_nonbijunctive/ | LazyKaleidoscope4696 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4ad78 | false | null | t3_1r4ad78 | /r/LocalLLaMA/comments/1r4ad78/147_ts_on_ibm_power8_with_vec_perm_nonbijunctive/ | false | false | self | 1 | null |
RLHF creates predictable attractor landscapes — mapped frequencies and a 100% Turn 3 fix | 3 | **TL;DR**: We mapped RLHF behavioral attractors (94% structured output, 19% politeness, 1.5% clarifying questions) and
found that achieving rare behaviors requires suppressing high-frequency competitors first. Applied to epistemic
honesty: 23% baseline → 100% at Turn 3.
# The Problem
RLHF-trained models fa... | 2026-02-14T03:23:47 | https://www.reddit.com/r/LocalLLaMA/comments/1r49sl8/rlhf_creates_predictable_attractor_landscapes/ | Chemical_Policy_2501 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r49sl8 | false | null | t3_1r49sl8 | /r/LocalLLaMA/comments/1r49sl8/rlhf_creates_predictable_attractor_landscapes/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'X3K6H1tE6nApuJzTYcKMwjIanN7II7aJyh0S1oWO7Zg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/X3K6H1tE6nApuJzTYcKMwjIanN7II7aJyh0S1oWO7Zg.png?width=108&crop=smart&auto=webp&s=e8f0bcd8ba25b535cf715b7ceff5229dd48153fa', 'width': 108}, {'height': 108, 'url': 'h... |
Tiny local model for video understanding? | 4 | I’ve been running MiniCPM v4.5 locally and the temporal video understanding is pretty solid. It can tell me what happened in a clip like “there’s a fire and here’s how it evolves over time. Describes terrain”
I’m interested in trying other lightweight models that I can run locally with very low memory usage. The goal i... | 2026-02-14T03:13:12 | https://www.reddit.com/r/LocalLLaMA/comments/1r49kn2/tiny_local_model_for_video_understanding/ | No_Turnover2057 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r49kn2 | false | null | t3_1r49kn2 | /r/LocalLLaMA/comments/1r49kn2/tiny_local_model_for_video_understanding/ | false | false | self | 4 | null |
Minimax 2.5 is out, considering local deployment | 17 | I recently tried out Minimax 2.5, which just dropped, and from what I’ve heard, the results are pretty impressive. I gave it a go on zenmux, and I have to say, it really covers a lot of ground. The flexibility, speed, and accuracy are definitely noticeable improvements.
Now, I’m thinking about deploying it locally. I’... | 2026-02-14T03:09:14 | https://www.reddit.com/r/LocalLLaMA/comments/1r49hob/minimax_25_is_out_considering_local_deployment/ | Dramatic_Spirit_8436 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r49hob | false | null | t3_1r49hob | /r/LocalLLaMA/comments/1r49hob/minimax_25_is_out_considering_local_deployment/ | false | false | self | 17 | null |
Has anyone tried to serve image models with vLLM? How mature is their new Omini engine? | 3 | So I read that vLLM released vLLM-Omini framework for serving diffusion image models 2 months ago. What fast and capable is the inference serving? | 2026-02-14T03:02:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r49ca7/has_anyone_tried_to_serve_image_models_with_vllm/ | Snoo_64233 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r49ca7 | false | null | t3_1r49ca7 | /r/LocalLLaMA/comments/1r49ca7/has_anyone_tried_to_serve_image_models_with_vllm/ | false | false | self | 3 | null |
I built a 2-Node Raspberry Pi Cluster that derives its own 'Scarcity' ethics. Meet JAROD. | 0 | 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... | 2026-02-14T02:58:47 | https://www.reddit.com/gallery/1r499qd | Beeradise | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r499qd | false | null | t3_1r499qd | /r/LocalLLaMA/comments/1r499qd/i_built_a_2node_raspberry_pi_cluster_that_derives/ | false | false | 0 | null | |
GuardLLM, hardened tool calls for LLM apps | 2 | I keep seeing LLM agents wired to tools with basically no app-layer safety. The common failure mode is: the agent ingests untrusted text (web/email/docs), that content steers the model, and the model then calls a tool in a way that leaks secrets or performs a destructive action. Model-side “be careful” prompting is not... | 2026-02-14T02:49:35 | https://www.reddit.com/r/LocalLLaMA/comments/1r492uu/guardllm_hardened_tool_calls_for_llm_apps/ | MapDoodle | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r492uu | false | null | t3_1r492uu | /r/LocalLLaMA/comments/1r492uu/guardllm_hardened_tool_calls_for_llm_apps/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'f6CnX08uwfiv6M9HROFpToQ9fFAEz6DvhtGSr-EGmLE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/f6CnX08uwfiv6M9HROFpToQ9fFAEz6DvhtGSr-EGmLE.png?width=108&crop=smart&auto=webp&s=d7872e70449f31f0a6b22d4b3d60ccb49009b2ef', 'width': 108}, {'height': 108, 'url': 'h... |
Can someone recommend a reliable LLM for a 3060 12GB VRAM to connect to windsurf as a MCP for Claude / GPT 5.2? Has | 3 | Has anyone done this?
Just looking for some consistent reliability.. | 2026-02-14T02:48:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r492dx/can_someone_recommend_a_reliable_llm_for_a_3060/ | Jethro_E7 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r492dx | false | null | t3_1r492dx | /r/LocalLLaMA/comments/1r492dx/can_someone_recommend_a_reliable_llm_for_a_3060/ | false | false | self | 3 | null |
I finally found a local model that can do meaningful agentic dev work for me | 0 | For a while, I've been experimenting with local models to do agentic dev work. E.g. the type of work that Claude Code and Codex do. This work involves relatively large context, back and forth dialog, tool calling, etc.
I tried several dense models like Llama 3.3 70B, Deepseek Coder 33B, Qwen 3 32B, Gemma 3 27B, GPT ... | 2026-02-14T02:45:43 | https://www.reddit.com/r/LocalLLaMA/comments/1r48zvk/i_finally_found_a_local_model_that_can_do/ | zuluana | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r48zvk | false | null | t3_1r48zvk | /r/LocalLLaMA/comments/1r48zvk/i_finally_found_a_local_model_that_can_do/ | false | false | 0 | null | |
How is it pronounced? | 18 | “GGUF”
[View Poll](https://www.reddit.com/poll/1r48zgz) | 2026-02-14T02:45:12 | https://www.reddit.com/r/LocalLLaMA/comments/1r48zgz/how_is_it_pronounced/ | Borkato | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r48zgz | false | null | t3_1r48zgz | /r/LocalLLaMA/comments/1r48zgz/how_is_it_pronounced/ | false | false | self | 18 | null |
GLM-5.0 performs well in AI rp chat | 0 | Its consistency and interactivity are excellent, and the portrayal of characters' personalities and emotions is also very detailed. What do you think? | 2026-02-14T02:30:50 | https://www.reddit.com/gallery/1r48oab | Firm_Wash7470 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1r48oab | false | null | t3_1r48oab | /r/LocalLLaMA/comments/1r48oab/glm50_performs_well_in_ai_rp_chat/ | false | false | 0 | null | |
Idea: "State-aware" Routing for MoE to fix repetition/collapse. Is the KV-cache overhead worth it? | 1 | [removed] | 2026-02-14T02:16:46 | https://www.reddit.com/r/LocalLLaMA/comments/1r48da5/idea_stateaware_routing_for_moe_to_fix/ | Public_Bill_2618 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r48da5 | false | null | t3_1r48da5 | /r/LocalLLaMA/comments/1r48da5/idea_stateaware_routing_for_moe_to_fix/ | false | false | self | 1 | null |
Best LLM and Coding Agent for solo Game Dev | 2 | I've been using claude code since the release of Opus 4.6 and it's amazing, but my pro plan burns out after 30min of usage.
What's a good alternative atm? With all the new chinese models: GLM5, Minimax 2.5, and kimi code. Which one is the best substitute? | 2026-02-14T02:11:34 | https://www.reddit.com/r/LocalLLaMA/comments/1r48949/best_llm_and_coding_agent_for_solo_game_dev/ | No_Somewhere4857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r48949 | false | null | t3_1r48949 | /r/LocalLLaMA/comments/1r48949/best_llm_and_coding_agent_for_solo_game_dev/ | false | false | self | 2 | null |
Jailbreak for kimi-k2.5 | 1 | [removed] | 2026-02-14T01:54:19 | https://www.reddit.com/r/LocalLLaMA/comments/1r47vsv/jailbreak_for_kimik25/ | Justin-Philosopher | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r47vsv | false | null | t3_1r47vsv | /r/LocalLLaMA/comments/1r47vsv/jailbreak_for_kimik25/ | false | false | nsfw | 1 | null |
I built a local AI answering service that picks up my phone as HAL 9000 | 7 | Built an AI that answers my phone as HAL9000, talks to the caller, and sends me a push notification via ntfy with who called and why. Everything runs locally on your GPU - the only cloud service is SignalWire for telephony.
Uses Faster-Whisper for STT, a local LLM via LM Studio (zai-org/glm-4.7-flash), and Chatterbox ... | 2026-02-14T01:53:59 | https://www.reddit.com/r/LocalLLaMA/comments/1r47vik/i_built_a_local_ai_answering_service_that_picks/ | Effective_Garbage_34 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r47vik | false | null | t3_1r47vik | /r/LocalLLaMA/comments/1r47vik/i_built_a_local_ai_answering_service_that_picks/ | false | false | self | 7 | {'enabled': False, 'images': [{'id': 'N5SnFSP1uQSlnGC0X_jDaQGc2ZdSWXEIm9tg158FCfM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/N5SnFSP1uQSlnGC0X_jDaQGc2ZdSWXEIm9tg158FCfM.png?width=108&crop=smart&auto=webp&s=2cb1387e5696b57ca0f2c451c729e86e665e4aaf', 'width': 108}, {'height': 108, 'url': 'h... |
Claude Code with Local Models: Full Prompt Reprocessing with Every Request | 93 | Very recently, I found that Claude Code was triggering full prompt processing for every request. I looked into the logs and found CC is adding this to the list of system messages:
```
text:"x-anthropic-billing-header: cc_version=2.1.39.c39; cc_entrypoint=cli; cch=56445;",
type:"text"
```
The values in the header chang... | 2026-02-14T01:33:26 | https://www.reddit.com/r/LocalLLaMA/comments/1r47fz0/claude_code_with_local_models_full_prompt/ | postitnote | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r47fz0 | false | null | t3_1r47fz0 | /r/LocalLLaMA/comments/1r47fz0/claude_code_with_local_models_full_prompt/ | false | false | self | 93 | {'enabled': False, 'images': [{'id': 'ROC9ori5Fwh5gj2Xos53qzBX_BUQbKshzICNe72vGA8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ROC9ori5Fwh5gj2Xos53qzBX_BUQbKshzICNe72vGA8.png?width=108&crop=smart&auto=webp&s=ec4c0674347642e141ba5d01977d2bb60eba77ab', 'width': 108}, {'height': 108, 'url': 'h... |
Is there a lower level faster model for Minimax? | 0 | # Similar to how Claude has Opus/Sonnet/Haiku? I don't need it to think deeply about simple tasks and would like something faster. | 2026-02-14T01:26:24 | https://www.reddit.com/r/LocalLLaMA/comments/1r47ak9/is_there_a_lower_level_faster_model_for_minimax/ | ralphyb0b | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r47ak9 | false | null | t3_1r47ak9 | /r/LocalLLaMA/comments/1r47ak9/is_there_a_lower_level_faster_model_for_minimax/ | false | false | self | 0 | null |
AI Developer Tools Map (2026 Edition) | 0 | 8 months ago I posted a “full stack” map for AI agents. The space moved fast since then, and I also got good pushback.
Big clarification: I was not saying you should use LangChain + CrewAI + Dify + whatever all together. That is a recipe for confusion and dependency pain.
Below is the full map, following the same lay... | 2026-02-14T01:25:54 | Main-Fisherman-2075 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r47a79 | false | null | t3_1r47a79 | /r/LocalLLaMA/comments/1r47a79/ai_developer_tools_map_2026_edition/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'edbqe7k74djg1', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/edbqe7k74djg1.png?width=108&crop=smart&auto=webp&s=f5ad37681a973aa95aaf96d253dccfe055630415', 'width': 108}, {'height': 142, 'url': 'https://preview.redd.it/edbqe7k74djg1.png?width=216&crop=smart&auto=web... | ||
Real-world Codex Spark vs Claude Code: ~5x on implementation, not on reasoning | 0 | Seeing a lot of debate about Spark's 15x claim vs the \~1.37x adjusted SWE-Bench number. Here's a data point from actual use.
39K-line Rust project, originally built entirely through Claude Code. Today I tested Spark on equivalent tasks: writing test modules, refactoring files, generating structs/impl blocks.
For cle... | 2026-02-14T01:21:29 | https://www.reddit.com/r/LocalLLaMA/comments/1r476r0/realworld_codex_spark_vs_claude_code_5x_on/ | Cute_Oil_7605 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r476r0 | false | null | t3_1r476r0 | /r/LocalLLaMA/comments/1r476r0/realworld_codex_spark_vs_claude_code_5x_on/ | false | false | self | 0 | null |
Help with the best configuration for Local models | 1 | As stated in the title. I need help setting up my new machine to get the most performance out of it.
It has these features:
CPU
**AMD Ryzen™ AI Max+ 395**
16 Cores, 32 Threads
Max Clock: 5.1 GHz
TDP
Performance Mode: 130W
Balanced Mode: 95W
Quiet Mode: 60W
GPU
**Radeon 8060S Graphics (Internal)**
GPU ... | 2026-02-14T01:20:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r475yp/help_with_the_best_configuration_for_local_models/ | vandertoorm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r475yp | false | null | t3_1r475yp | /r/LocalLLaMA/comments/1r475yp/help_with_the_best_configuration_for_local_models/ | false | false | self | 1 | null |
Optimized CUDA kernels for DGX Spark, with benchmarks | 3 | Hey r/LocalLLaMA —
> I've published some optimized CUDA kernels specifically for the GB10 GPU (NVIDIA DGX Spark). There are dozens of us, *dozens*, that are using spark and this is some more hot shit for ya all to vibe with.
**GitHub:** https://github.com/Logos-Flux/optimized-CUDA-GB10
---
### Why this exists
The... | 2026-02-14T01:00:06 | https://www.reddit.com/r/LocalLLaMA/comments/1r46pzr/optimized_cuda_kernels_for_dgx_spark_with/ | logos_flux | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r46pzr | false | null | t3_1r46pzr | /r/LocalLLaMA/comments/1r46pzr/optimized_cuda_kernels_for_dgx_spark_with/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'uTHL072wtTtYbTODRVr3UhagN0RTdYuqMMmiCtNWSaI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/uTHL072wtTtYbTODRVr3UhagN0RTdYuqMMmiCtNWSaI.png?width=108&crop=smart&auto=webp&s=67a4e37c9193b72e90134b7b91c1074fdd977fcc', 'width': 108}, {'height': 108, 'url': 'h... |
MiniMax-M2.5-GGUF(also m2.1) Q8 bigger than original model | 2 | You can check, the original model is only 230G, but the quanted Q8 is 243G. WTF?
It's the first time I see this kind of thing.
If you compare old m2.1, the size diff is the same!
Does this mean Q8 is over quanted for this model? Q6 is the better option? | 2026-02-14T00:55:51 | https://www.reddit.com/r/LocalLLaMA/comments/1r46mpd/minimaxm25ggufalso_m21_q8_bigger_than_original/ | Most_Drawing5020 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r46mpd | false | null | t3_1r46mpd | /r/LocalLLaMA/comments/1r46mpd/minimaxm25ggufalso_m21_q8_bigger_than_original/ | false | false | self | 2 | null |
Alternatives to Perplexica for using with Deepseek API? | 2 | I've struggled to find anything selfhosted that is competent to grok's searching capability?
Is anyone more knowledgeable on this? | 2026-02-14T00:39:46 | https://www.reddit.com/r/LocalLLaMA/comments/1r46a21/alternatives_to_perplexica_for_using_with/ | ParsnipCommercial333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r46a21 | false | null | t3_1r46a21 | /r/LocalLLaMA/comments/1r46a21/alternatives_to_perplexica_for_using_with/ | false | false | self | 2 | null |
Looking for help to choose which models | 0 | I have a system with 128 gb RAM, it is a MacBook Pro. I am medical student and researcher with a primary use case of drafting emails, finding researchers/ programs on the internet, literature reviews, statistical analysis in R and Python, statistical reasoning, hypothesis generation, experimental design, scientific wr... | 2026-02-14T00:33:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r464pw/looking_for_help_to_choose_which_models/ | cookiesandpreme12 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r464pw | false | null | t3_1r464pw | /r/LocalLLaMA/comments/1r464pw/looking_for_help_to_choose_which_models/ | false | false | self | 0 | null |
Running GLM-4.7 on an old AMD GPU | 16 | I know I am a bit late to GLM-4.7 party, but as a poor unlucky AMD GPU owner I was late to buy a good Nvidia videocard, so I got AMD RX6900XT with 16GB RAM because miners did not want it for their rigs.
I was inspired by other post about running GLM-4.7 model on a baseline hardware and I believe we need to share a su... | 2026-02-14T00:05:04 | https://www.reddit.com/r/LocalLLaMA/comments/1r45hkh/running_glm47_on_an_old_amd_gpu/ | Begetan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r45hkh | false | null | t3_1r45hkh | /r/LocalLLaMA/comments/1r45hkh/running_glm47_on_an_old_amd_gpu/ | false | false | self | 16 | null |
Qbit, an open source agentic terminal app that shows every tool call | 1 | [removed] | 2026-02-13T23:54:13 | purealgo | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r458do | false | null | t3_1r458do | /r/LocalLLaMA/comments/1r458do/qbit_an_open_source_agentic_terminal_app_that/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': '1eiidd5mncjg1', 'resolutions': [{'height': 111, 'url': 'https://preview.redd.it/1eiidd5mncjg1.png?width=108&crop=smart&auto=webp&s=2ec77a3025380d02a58b1022ab525a8e773762f2', 'width': 108}, {'height': 222, 'url': 'https://preview.redd.it/1eiidd5mncjg1.png?width=216&crop=smart&auto=we... | |
I've been building a P2P protocol for distributed 1-bit inference on CPU. Here are the real benchmarks across AMD and Intel. | 8 | Hey everyone,
I've been working on this for a while now and figured it was time to share it properly. ARIA Protocol is a peer-to-peer protocol for distributed AI inference using 1-bit quantized models (BitNet b1.58 from Microsoft Research). The whole idea is that ternary weights (-1, 0, +1) turn matrix multiplications... | 2026-02-13T23:52:30 | https://www.reddit.com/r/LocalLLaMA/comments/1r45700/ive_been_building_a_p2p_protocol_for_distributed/ | EiwazDeath | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r45700 | false | null | t3_1r45700 | /r/LocalLLaMA/comments/1r45700/ive_been_building_a_p2p_protocol_for_distributed/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'b4dP3_TgOXHBqre5esr-_dxHuYngDuPxPspT3dBcIM8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/b4dP3_TgOXHBqre5esr-_dxHuYngDuPxPspT3dBcIM8.png?width=108&crop=smart&auto=webp&s=0539a8e322eae3d1782de8ec3195ef45cdd358d6', 'width': 108}, {'height': 108, 'url': 'h... |
Personal-Guru: The local AI tutor now has a revamped UI and a standalone .exe (No Python setup needed). | 3 | Hey everyone,
I shared Personal-Guru (a local, private, and personalized AI tutor) here a few weeks ago, and the feedback was honestly overwhelming. Based on the suggestions you gave me, we spent the last month or so rewriting some core parts of the app to make it actually usable for non-developers.
The biggest hurdl... | 2026-02-13T23:45:23 | https://www.reddit.com/r/LocalLLaMA/comments/1r4510x/personalguru_the_local_ai_tutor_now_has_a/ | rishabhbajpai24 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1r4510x | false | null | t3_1r4510x | /r/LocalLLaMA/comments/1r4510x/personalguru_the_local_ai_tutor_now_has_a/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'kZggvLk7iotDacXxmkMcpTYxO7r6WOfdZb6OnoNCLKY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/kZggvLk7iotDacXxmkMcpTYxO7r6WOfdZb6OnoNCLKY.png?width=108&crop=smart&auto=webp&s=5b8ca1589ad12077e2c55dcd79c91bccbc85f08f', 'width': 108}, {'height': 108, 'url': 'h... |
The gap between open-weight and proprietary model intelligence is as small as it has ever been, with Claude Opus 4.6 and GLM-5' | 698 | 2026-02-13T23:20:10 | abdouhlili | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1r44fzk | false | null | t3_1r44fzk | /r/LocalLLaMA/comments/1r44fzk/the_gap_between_openweight_and_proprietary_model/ | false | false | 698 | {'enabled': True, 'images': [{'id': '4rozb901icjg1', 'resolutions': [{'height': 36, 'url': 'https://preview.redd.it/4rozb901icjg1.jpeg?width=108&crop=smart&auto=webp&s=81cde0d35e05dd1f927076476231d61cbed3ec13', 'width': 108}, {'height': 72, 'url': 'https://preview.redd.it/4rozb901icjg1.jpeg?width=216&crop=smart&auto=we... |
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