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LoongFlow: Open Source Implementation of Evolutionary Agent Framework | 1 | [removed] | 2026-01-07T02:19:40 | https://www.reddit.com/r/LocalLLaMA/comments/1q62vsg/loongflow_open_source_implementation_of/ | Sea_Individual2470 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q62vsg | false | null | t3_1q62vsg | /r/LocalLLaMA/comments/1q62vsg/loongflow_open_source_implementation_of/ | false | false | self | 1 | null |
Why not Qwen3-30B Quantized over qwen3-14B or gemma-12B? | 21 | **I am learning :)**
I have a 3080ti with 12GB of VRAM and 32GB of RAM and a 5900x. With this I can run qwen3-30b-a3b-thinking-2507 that does 3.3B activated parameters in LM studio 20 tok/sec which I believe is quantized right? It runs pretty well and has good answers. Why would I use the more recommended ones of qwen... | 2026-01-07T02:12:35 | https://www.reddit.com/r/LocalLLaMA/comments/1q62pyh/why_not_qwen330b_quantized_over_qwen314b_or/ | arktik7 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q62pyh | false | null | t3_1q62pyh | /r/LocalLLaMA/comments/1q62pyh/why_not_qwen330b_quantized_over_qwen314b_or/ | false | false | self | 21 | null |
NousResearch/NousCoder-14B · Hugging Face | 157 | from NousResearch:
"We introduce *NousCoder-14B*, a competitive programming model post-trained on [Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) via reinforcement learning. On LiveCodeBench v6 (08/01/2024 - 05/01/2025), we achieve a Pass@1 accuracy of 67.87%, up 7.08% from the baseline Pass@1 accuracy of 60.79% of... | 2026-01-07T01:37:25 | https://huggingface.co/NousResearch/NousCoder-14B | jacek2023 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q61wpv | false | null | t3_1q61wpv | /r/LocalLLaMA/comments/1q61wpv/nousresearchnouscoder14b_hugging_face/ | false | false | default | 157 | {'enabled': False, 'images': [{'id': '5B9NQ05vM8G6MB5IJCuanVCmVkz4L0DmuyDbK4fKfHU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/5B9NQ05vM8G6MB5IJCuanVCmVkz4L0DmuyDbK4fKfHU.png?width=108&crop=smart&auto=webp&s=92ff6decc1f493533f9bb64d764586339106d8fc', 'width': 108}, {'height': 116, 'url': 'h... |
NO LAWSUIT if AI fucks up with policy (saving teams) | 0 | AI today is writing emails, making decisions, and touching sensitive data.
Which means every mistake your AI makes is now **your legal liability**.
One bad output. One leaked PII. One GDPR slip.
And suddenly AI risk becomes **legal risk**.
You can either deal with regulators, lawsuits, audits, and policy hell you... | 2026-01-07T01:24:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q61mds/no_lawsuit_if_ai_fucks_up_with_policy_saving_teams/ | AdSure3977 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q61mds | false | null | t3_1q61mds | /r/LocalLLaMA/comments/1q61mds/no_lawsuit_if_ai_fucks_up_with_policy_saving_teams/ | false | false | self | 0 | null |
3x Mi50 32GB LLM workstation build help | 2 | I'm trying to run 3x Mi50 32GB in Asrock Taichi X299 XE and it doesn't get to the OS with all cards no matter what I try. Currently it's failing with three radeon cards, but I also tried 2x Nvidia Tesla P40 + 1x Tesla P100 and it also had the same issue. Tried on both Windows 10 Pro and Ubuntu 22.04 LTS (fresh install ... | 2026-01-07T01:24:19 | https://www.reddit.com/r/LocalLLaMA/comments/1q61lsz/3x_mi50_32gb_llm_workstation_build_help/ | Ok_Top9254 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q61lsz | false | null | t3_1q61lsz | /r/LocalLLaMA/comments/1q61lsz/3x_mi50_32gb_llm_workstation_build_help/ | false | false | self | 2 | null |
NO LAWSUIT if AI fucks up with policy (saving teams) | 1 | **i will keep it short and sweet.**
**AI is today writing email, generating decisions,**
**and touching sensitive data; making everyone liable for policy**
**violations,**
**If your ai / llm application fucks up with policy, and ai risk becomes legal risk (PIIs, GDPR et cetera) -- either handle all the lawsuits a... | 2026-01-07T01:23:32 | https://www.reddit.com/r/LocalLLaMA/comments/1q61l5n/no_lawsuit_if_ai_fucks_up_with_policy_saving_teams/ | AdSure3977 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q61l5n | false | null | t3_1q61l5n | /r/LocalLLaMA/comments/1q61l5n/no_lawsuit_if_ai_fucks_up_with_policy_saving_teams/ | false | false | self | 1 | null |
Nvidia owners are about to have a very good time ( llama.cpp ) | 32 | Looks like there's a jan 2026 pre-build of llama.cpp kicking out these numbers. | 2026-01-07T01:10:12 | mr_zerolith | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q61a3e | false | null | t3_1q61a3e | /r/LocalLLaMA/comments/1q61a3e/nvidia_owners_are_about_to_have_a_very_good_time/ | false | false | default | 32 | {'enabled': True, 'images': [{'id': 'az1gy68mutbg1', 'resolutions': [{'height': 39, 'url': 'https://preview.redd.it/az1gy68mutbg1.jpeg?width=108&crop=smart&auto=webp&s=2135470c6cfb5b59367536ea9b2ab35f18ea3a86', 'width': 108}, {'height': 78, 'url': 'https://preview.redd.it/az1gy68mutbg1.jpeg?width=216&crop=smart&auto=we... | |
Razer is demonstrating a “AI accelerator” box with a Wormhole n150 processor from Tenstorrent at CES | 118 | There is a press release from Tenstorrent as well, but I haven’t seen anyone test it out.
From what I’ve seen before the hardware isn’t super impressive. The n150 usually comes as a PCIe dev board with 12GB memory for $1000. | 2026-01-07T01:07:27 | https://wccftech.com/razer-partners-tenstorrent-goes-into-full-ai-mode/ | Hasuto | wccftech.com | 1970-01-01T00:00:00 | 0 | {} | 1q617ug | false | null | t3_1q617ug | /r/LocalLLaMA/comments/1q617ug/razer_is_demonstrating_a_ai_accelerator_box_with/ | false | false | default | 118 | {'enabled': False, 'images': [{'id': '55S8efCmWR_UNwVQwnrBhqr5tzC73SFwKgXTxGt7lKs', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/55S8efCmWR_UNwVQwnrBhqr5tzC73SFwKgXTxGt7lKs.png?width=108&crop=smart&auto=webp&s=18dbc2d871b4de52835bed0cd15f81b0b0331b74', 'width': 108}, {'height': 121, 'url': 'h... |
Apple M5 Max configuration that makes sense from a business mind perspective "Personal H100" | 0 | I've been analyzing the speculative configurations for the upcoming M5 Max. While most rumors appear logical in terms of linear scaling, they feel illogical when you consider real-world pain points and the nuances of global supply and demand.
Because of this, I am convinced Apple is permanently shifting its annual rel... | 2026-01-07T01:00:43 | https://www.reddit.com/r/LocalLLaMA/comments/1q6127q/apple_m5_max_configuration_that_makes_sense_from/ | Wveney | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q6127q | false | null | t3_1q6127q | /r/LocalLLaMA/comments/1q6127q/apple_m5_max_configuration_that_makes_sense_from/ | false | false | self | 0 | null |
[Research] "Heritage > Scale": Why EleutherAI models dampen while LLaMA expands — and why finetuning often can't flip it | 0 | Hi r/LocalLLaMA,
I analyzed \*\*23+ models from 7 labs\*\* (Pythia, LLaMA, OPT, GPT-2, Mistral) looking at internal signal flow. Found something that might explain why some models feel "stiffer" to finetune.
\*\*TL;DR:\*\* Who trained the base model often matters more than parameter count. Finetuning can change mag... | 2026-01-07T00:58:48 | https://www.reddit.com/r/LocalLLaMA/comments/1q610m6/research_heritage_scale_why_eleutherai_models/ | Fantastic_Art_4948 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q610m6 | false | null | t3_1q610m6 | /r/LocalLLaMA/comments/1q610m6/research_heritage_scale_why_eleutherai_models/ | false | false | 0 | null | |
second machine... another strix halo or a mac? | 3 | I have a strix halo running pretty well now, but in order to get models to talk to each other I think I need a second machine. There's no specific purpose or problem I'm trying to solve here, it's just experimentation for the sake of getting comfortable with and learning to orchestrate models and build \*something\*.
... | 2026-01-07T00:58:22 | https://www.reddit.com/r/LocalLLaMA/comments/1q6109m/second_machine_another_strix_halo_or_a_mac/ | sputnik13net | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q6109m | false | null | t3_1q6109m | /r/LocalLLaMA/comments/1q6109m/second_machine_another_strix_halo_or_a_mac/ | false | false | self | 3 | null |
Very strange -- can't serve vLLM models through SSH? | 1 | Before I post on GitHub issues, I wanted to double check here.
Essentially, when I connect the `llm_machine` to the peripherals, I can serve the LLM through Docker just fine. However, when I remove the peripherals, connect to the machine via SSH, run the exact same commands, it gets stuck. *The machine doesn't get war... | 2026-01-07T00:45:37 | https://www.reddit.com/r/LocalLLaMA/comments/1q60pfh/very_strange_cant_serve_vllm_models_through_ssh/ | jinnyjuice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q60pfh | false | null | t3_1q60pfh | /r/LocalLLaMA/comments/1q60pfh/very_strange_cant_serve_vllm_models_through_ssh/ | false | false | self | 1 | null |
[Advice] RTX 3090 + 64GB RAM for local LLM + general use | 4 | I’m evaluating the feasibility of upgrading my current system so it can function both as a normal desktop machine and as a local LLM/vision inference setup. The system is connected to a 65” LG OLED G1 and is currently used for general desktop tasks, browsing, system configuration, and occasional gaming. Before committi... | 2026-01-06T23:05:29 | https://www.reddit.com/r/LocalLLaMA/comments/1q5y8qd/advice_rtx_3090_64gb_ram_for_local_llm_general_use/ | -Chimichanga- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5y8qd | false | null | t3_1q5y8qd | /r/LocalLLaMA/comments/1q5y8qd/advice_rtx_3090_64gb_ram_for_local_llm_general_use/ | false | false | self | 4 | null |
Built a persistent memory server for my AI assistant on a $6 droplet – full guide (Claude-focused but model-agnostic) | 1 | Non-dev here. Wanted AI that survives context windows and platform switches. Ended up with a simple Flask + flat-file memory server ("FishBrain") that any model can read/write to.
Also covers wake-up files, voice agents, daemons, and alternatives (Mem0, MCP, local Ollama paths).
Free guide with all the disasters: [... | 2026-01-06T23:05:14 | https://www.reddit.com/r/LocalLLaMA/comments/1q5y8hn/built_a_persistent_memory_server_for_my_ai/ | feltchair3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5y8hn | false | null | t3_1q5y8hn | /r/LocalLLaMA/comments/1q5y8hn/built_a_persistent_memory_server_for_my_ai/ | false | false | self | 1 | null |
How to directly connect ML agent with messy business data before these data can be used for ML learning? There are still a lot of manual labors needed. How to free them with reliable agents? | 1 | While the video does show promising results: a 8-fold reduction in mean square errors (MSE) in a regression task, compared with the ML agent provided by Gemini Pro. The serious question is that, how to get those train/validate/test data before they are used by ML agent?
We are building connectors with Oracle, Sharepo... | 2026-01-06T23:02:54 | https://v.redd.it/o38nm8ha7tbg1 | DueKitchen3102 | /r/LocalLLaMA/comments/1q5y6ci/how_to_directly_connect_ml_agent_with_messy/ | 1970-01-01T00:00:00 | 0 | {} | 1q5y6ci | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/o38nm8ha7tbg1/DASHPlaylist.mpd?a=1770462182%2CYjRhMjI1YjY5MzY1M2YwZmI0YmViZGY3MTMyMDQ0NjdkNmNjY2NhODg3MzdlMzhmNjhjNzQwODMyOWFmOGU2YQ%3D%3D&v=1&f=sd', 'duration': 568, 'fallback_url': 'https://v.redd.it/o38nm8ha7tbg1/CMAF_1080.mp4?source=fallback', '... | t3_1q5y6ci | /r/LocalLLaMA/comments/1q5y6ci/how_to_directly_connect_ml_agent_with_messy/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'd2J5anB5aGE3dGJnMc8GjGasteWiPBEejHSloWeo4evDldOzSII15IrqEJ8x', 'resolutions': [{'height': 67, 'url': 'https://external-preview.redd.it/d2J5anB5aGE3dGJnMc8GjGasteWiPBEejHSloWeo4evDldOzSII15IrqEJ8x.png?width=108&crop=smart&format=pjpg&auto=webp&s=239ed8ad62a6356845305af010532e074dbbd... | |
I built my own AMD based AI rig | 25 | As promised after some trial and error, here is my baby: 256gb/256gb vram/ram, 8 GPU AMD R9700, Epyc 7532 CPU, 4TB nvme storage (and planned 24GB ssd raid) AI rig. It runs on Debian 12. I didn't go Nvidia route because I hate ugly monopolies and fucking crooks extorting money from us - hobbists. AMD path was the only f... | 2026-01-06T22:34:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q5xftv/i_built_my_own_amd_based_ai_rig/ | Clear_Lead4099 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5xftv | false | null | t3_1q5xftv | /r/LocalLLaMA/comments/1q5xftv/i_built_my_own_amd_based_ai_rig/ | false | false | 25 | null | |
Descobrimos que havia menos alucinações ao remover a empatia, não ao alterar o modelo. Isso nos surpreendeu. | 1 | [removed] | 2026-01-06T22:19:20 | https://www.reddit.com/r/LocalLLaMA/comments/1q5x1i1/descobrimos_que_havia_menos_alucinações_ao/ | Vast-World4619 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5x1i1 | false | null | t3_1q5x1i1 | /r/LocalLLaMA/comments/1q5x1i1/descobrimos_que_havia_menos_alucinações_ao/ | false | false | self | 1 | null |
Announcing Plano - edge and service proxy with orchestration for AI agents (runs local) | 1 | [removed] | 2026-01-06T22:17:36 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5wzvl | false | null | t3_1q5wzvl | /r/LocalLLaMA/comments/1q5wzvl/announcing_plano_edge_and_service_proxy_with/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 't1okneh70tbg1', 'resolutions': [{'height': 176, 'url': 'https://preview.redd.it/t1okneh70tbg1.jpeg?width=108&crop=smart&auto=webp&s=b67f61386f81f279ec7da9d70d616b7261d21bff', 'width': 108}, {'height': 352, 'url': 'https://preview.redd.it/t1okneh70tbg1.jpeg?width=216&crop=smart&auto=... | |
Anyone tried order cheap RTX 6000 Pro from China? | 4 | There are plenty in 4k USD range.
Let's say this one https://ebay.us/m/3kcy9T
Pretty sure it's a scam but what do they have to gain considering eBay return policy. Not even sure eBay pays them before delivery is done.. | 2026-01-06T21:40:46 | https://www.reddit.com/r/LocalLLaMA/comments/1q5w0hr/anyone_tried_order_cheap_rtx_6000_pro_from_china/ | val_in_tech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5w0hr | false | null | t3_1q5w0hr | /r/LocalLLaMA/comments/1q5w0hr/anyone_tried_order_cheap_rtx_6000_pro_from_china/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '1QReZNf2dclEO4ZZEkbNJL0j0GC8To8XLM5nwG0416c', 'resolutions': [{'height': 86, 'url': 'https://external-preview.redd.it/1QReZNf2dclEO4ZZEkbNJL0j0GC8To8XLM5nwG0416c.jpeg?width=108&crop=smart&auto=webp&s=6f2065d490311407234e7f0958f8066f5a36ed13', 'width': 108}, {'height': 172, 'url': '... |
200ms search over 40 million texts using just a CPU server + demo: binary search with int8 rescoring | 99 | This is the inference strategy:
1. Embed your query using a dense embedding model into a 'standard' fp32 embedding
2. Quantize the fp32 embedding to binary: 32x smaller
3. Use an approximate (or exact) binary index to retrieve e.g. 40 documents (\~20x faster than a fp32 index)
4. Load int8 embeddings for the 40 top bi... | 2026-01-06T21:24:42 | https://huggingface.co/spaces/sentence-transformers/quantized-retrieval | -Cubie- | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5vk9m | false | null | t3_1q5vk9m | /r/LocalLLaMA/comments/1q5vk9m/200ms_search_over_40_million_texts_using_just_a/ | false | false | default | 99 | {'enabled': False, 'images': [{'id': 'hCm8D9e9AzrbuM1MK1zF3wZVeIaff34g_KhZMmvJyGM', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/hCm8D9e9AzrbuM1MK1zF3wZVeIaff34g_KhZMmvJyGM.png?width=108&crop=smart&auto=webp&s=33770483b0662f3d86494249f013c1f753efa319', 'width': 108}, {'height': 116, 'url': 'h... |
Frontend function (prototype for now) that will force LLM to write you first (trying to grab your attention with new topic or continuation of previous one) if you don't answering specific amount of time (1 hr for example) or at random amount of time (30 mins - 6 hrs for example). | 4 | Working on the function that will force LLM to write you first if you AFK for too long, if it feels ... lonely, want to engage or something, right now it is a prototype. I'd like to get your thoughts on the topic - how you will use this function and how it may be useful for you, interesting ideas to implement etc.
Cur... | 2026-01-06T21:22:29 | https://www.reddit.com/gallery/1q5vi2w | -Ellary- | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q5vi2w | false | null | t3_1q5vi2w | /r/LocalLLaMA/comments/1q5vi2w/frontend_function_prototype_for_now_that_will/ | false | false | 4 | null | |
Is Gemini hallucinating here? | 1 | [removed] | 2026-01-06T21:09:20 | https://www.reddit.com/r/LocalLLaMA/comments/1q5v531/is_gemini_hallucinating_here/ | GenLabsAI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5v531 | false | null | t3_1q5v531 | /r/LocalLLaMA/comments/1q5v531/is_gemini_hallucinating_here/ | false | false | self | 1 | null |
The missing primitive for AI agents: a kill switch | 0 | A few months ago I saw a post about someone who burned through $800 in a few hours. Their agent got stuck in a loop and they didn't notice until the bill came.
My first thought: how is there no standard way to prevent this?
I looked around. There's `max_tokens` for single calls, but nothing that caps an entire agent ... | 2026-01-06T20:52:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q5uo0y/the_missing_primitive_for_ai_agents_a_kill_switch/ | Green-Yam-8510 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5uo0y | false | null | t3_1q5uo0y | /r/LocalLLaMA/comments/1q5uo0y/the_missing_primitive_for_ai_agents_a_kill_switch/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'TwcjnUIsiVs77VSQ7qexuNZ9SpEfhKACgXHK7YaMGV8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TwcjnUIsiVs77VSQ7qexuNZ9SpEfhKACgXHK7YaMGV8.jpeg?width=108&crop=smart&auto=webp&s=4fbb2f11a03e64486a7c0dfd5b05849cdf77e167', 'width': 108}, {'height': 108, 'url': '... |
Comparison: Gemini Pro Code Interpreter vs. Specialized ML Agent on Regression Tasks. (Spoiler: Specialized Agent wins by 8x). | 1 | [removed] | 2026-01-06T20:12:01 | DueKitchen3102 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5tjn9 | false | null | t3_1q5tjn9 | /r/LocalLLaMA/comments/1q5tjn9/comparison_gemini_pro_code_interpreter_vs/ | true | false | spoiler | 1 | {'enabled': True, 'images': [{'id': 'p0vrhbmkdsbg1', 'resolutions': [{'height': 41, 'url': 'https://preview.redd.it/p0vrhbmkdsbg1.png?width=108&crop=smart&auto=webp&s=9d6ae3fd011b14e95b886fb91c5b75690e35dfff', 'width': 108}, {'height': 83, 'url': 'https://preview.redd.it/p0vrhbmkdsbg1.png?width=216&crop=smart&auto=webp... | |
Comparison: Gemini Pro Code Interpreter vs. Specialized ML Agent on Regression Tasks. (Spoiler: Specialized Agent wins by 8x) | 1 | 2026-01-06T20:03:00 | https://v.redd.it/efsjzzo2csbg1 | DueKitchen3102 | /r/LocalLLaMA/comments/1q5tamk/comparison_gemini_pro_code_interpreter_vs/ | 1970-01-01T00:00:00 | 0 | {} | 1q5tamk | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/efsjzzo2csbg1/DASHPlaylist.mpd?a=1770451394%2CODc0YTQxZGUwNDBjNDQ5ZjljZTI5MGFkMGRmNmVmNWIwMjZkYzI0NWU0MjA2NTRiZTg3OTNiNTRhZmUxMmQ0MQ%3D%3D&v=1&f=sd', 'duration': 568, 'fallback_url': 'https://v.redd.it/efsjzzo2csbg1/CMAF_1080.mp4?source=fallback', '... | t3_1q5tamk | /r/LocalLLaMA/comments/1q5tamk/comparison_gemini_pro_code_interpreter_vs/ | true | false | spoiler | 1 | {'enabled': False, 'images': [{'id': 'OWxqaWthcDJjc2JnMc8GjGasteWiPBEejHSloWeo4evDldOzSII15IrqEJ8x', 'resolutions': [{'height': 67, 'url': 'https://external-preview.redd.it/OWxqaWthcDJjc2JnMc8GjGasteWiPBEejHSloWeo4evDldOzSII15IrqEJ8x.png?width=108&crop=smart&format=pjpg&auto=webp&s=42eba9563049e299ac5e99bb2eb77ab348186... | |
llama-benchy - llama-bench style benchmarking for ANY LLM backend | 36 | TL;DR: I've built this tool primarily for myself as I couldn't easily compare model performance across different backends in the way that is easy to digest and useful for me. I decided to share this in case someone has the same need.
## Why I built this?
As probably many of you here, I've been happily using llama-ben... | 2026-01-06T20:02:33 | https://www.reddit.com/r/LocalLLaMA/comments/1q5ta4l/llamabenchy_llamabench_style_benchmarking_for_any/ | Eugr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5ta4l | false | null | t3_1q5ta4l | /r/LocalLLaMA/comments/1q5ta4l/llamabenchy_llamabench_style_benchmarking_for_any/ | false | false | self | 36 | null |
Building opensource Zero Server Code Intelligence Engine | 36 | Hi, guys, I m building GitNexus, an opensource Code Intelligence Engine which works fully client sided in-browser. What all features would be useful, any integrations, cool ideas, etc?
site: [https://gitnexus.vercel.app/](https://gitnexus.vercel.app/)
repo: [https://github.com/abhigyanpatwari/GitNexus](https://githu... | 2026-01-06T19:53:26 | https://v.redd.it/6xrs78taasbg1 | DeathShot7777 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5t0hr | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/6xrs78taasbg1/DASHPlaylist.mpd?a=1770321224%2CNDY4MDZmMzI5MDI3NTQ1MDkxMTE3NjU3NGExYTgzNDU3ZWE1ZDBjNjEzNTJjN2U3Yjk1ZDRkNGViNjdlMzliOA%3D%3D&v=1&f=sd', 'duration': 87, 'fallback_url': 'https://v.redd.it/6xrs78taasbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q5t0hr | /r/LocalLLaMA/comments/1q5t0hr/building_opensource_zero_server_code_intelligence/ | false | false | 36 | {'enabled': False, 'images': [{'id': 'd3piOG55d2Fhc2JnMRc4K08WCLBencfsxOajXaBEA9NZR-l8om0wN65iL7dR', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/d3piOG55d2Fhc2JnMRc4K08WCLBencfsxOajXaBEA9NZR-l8om0wN65iL7dR.png?width=108&crop=smart&format=pjpg&auto=webp&s=c7b7197123c29496b82c4f59edfd554843132... | |
Thinking of getting two NVIDIA RTX Pro 4000 Blackwell (2x24 = 48GB), Any cons? | 14 | Also getting at least 128GB DDR5 RAM for now.
My requirements:
* Up to 100B MOE models (GPT-OSS-120B, GLM-4.5-Air @ Q4, Qwen3-Next-80B-A3B)
* Up to 70B Dense models (Llama 70B @ Q4)
* Daily driver models - Qwen3-30B models, Qwen3-32B, Gemma3-27B, Mistral series, Phi 4, Seed-OSS-36B, GPT-OSS-20B, Nemotron series, etc... | 2026-01-06T19:19:23 | https://www.reddit.com/r/LocalLLaMA/comments/1q5s21m/thinking_of_getting_two_nvidia_rtx_pro_4000/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5s21m | false | null | t3_1q5s21m | /r/LocalLLaMA/comments/1q5s21m/thinking_of_getting_two_nvidia_rtx_pro_4000/ | false | false | self | 14 | null |
Linux mint for local inference | 17 | I saw a post earlier in here asking for linux, so I wanted to share my story.
Long story short, I switched from win11 to linux mint and im not going back!
The performance boost is ok but the stability and the extra system resources are something else.
Just a little example, I load the model and use all my Ram and V... | 2026-01-06T19:02:09 | Former-Tangerine-723 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5rkr6 | false | null | t3_1q5rkr6 | /r/LocalLLaMA/comments/1q5rkr6/linux_mint_for_local_inference/ | false | false | default | 17 | {'enabled': True, 'images': [{'id': 'u38i6uvc1sbg1', 'resolutions': [{'height': 79, 'url': 'https://preview.redd.it/u38i6uvc1sbg1.png?width=108&crop=smart&auto=webp&s=7c58bb17501f10d55c92411a4f3437531fc5b440', 'width': 108}, {'height': 158, 'url': 'https://preview.redd.it/u38i6uvc1sbg1.png?width=216&crop=smart&auto=web... | |
AI Safety: Balancing Protection with Human Dignity (Inspired by Fei-Fei Li and EQ Insights) | 0 | As an everyday AI user, not an expert, I've come to rely on these tools for creativity and connection. But like many, I've felt a subtle disconnect when safety protocols kick in abruptly—it's like sharing a vulnerable moment, only to hit a wall that feels more dismissive than protective.
This raises an interesting cau... | 2026-01-06T19:00:16 | https://www.reddit.com/r/LocalLLaMA/comments/1q5rimd/ai_safety_balancing_protection_with_human_dignity/ | EchoOfJoy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5rimd | false | null | t3_1q5rimd | /r/LocalLLaMA/comments/1q5rimd/ai_safety_balancing_protection_with_human_dignity/ | false | false | 0 | null | |
I wanted a way to sanity-check MCP execution statically | 0 | I'm building **Syrin** in public, and today I shipped **v1.2.1**.
It introduces **Agent Contract Analysis** for MCP servers.
The idea is simple:
Could you check what will break in your MCP server *before* you run it?
New commands:
* `syrin analyse` – flags execution errors & warnings
* `syrin analyse --graph` – sh... | 2026-01-06T18:58:37 | hack_the_developer | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5rgww | false | null | t3_1q5rgww | /r/LocalLLaMA/comments/1q5rgww/i_wanted_a_way_to_sanitycheck_mcp_execution/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'yvpzu8rk0sbg1', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/yvpzu8rk0sbg1.png?width=108&crop=smart&auto=webp&s=7f8bddc214ae8827931a4f60a98df14ac631ac1e', 'width': 108}, {'height': 116, 'url': 'https://preview.redd.it/yvpzu8rk0sbg1.png?width=216&crop=smart&auto=web... | |
Local agentic coding with low quantized, REAPed, large models (MiniMax-M2.1, Qwen3-Coder, GLM 4.6, GLM 4.7, ..) | 22 | More or less recent developments (stable & large MoE models, 2 and 3-bit UD\_I and exl3 quants, REAPing) allow to run huge models on little VRAM without completely killing model performance. For example, UD-IQ2\_XXS (74.1 GB) of MiniMax M2.1, or a REAP-50.Q5\_K\_M (82 GB), or potentially even a 3.04 bpw exl3 (88.3 GB) ... | 2026-01-06T18:47:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q5r5r9/local_agentic_coding_with_low_quantized_reaped/ | bfroemel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5r5r9 | false | null | t3_1q5r5r9 | /r/LocalLLaMA/comments/1q5r5r9/local_agentic_coding_with_low_quantized_reaped/ | false | false | self | 22 | null |
Need help with LLM workstation running 3x Instinct Mi50 32GB on Asrock Taichi x299 XE | 1 | [removed] | 2026-01-06T18:44:15 | https://www.reddit.com/r/LocalLLaMA/comments/1q5r2i6/need_help_with_llm_workstation_running_3x/ | Ok_Top9254 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5r2i6 | false | null | t3_1q5r2i6 | /r/LocalLLaMA/comments/1q5r2i6/need_help_with_llm_workstation_running_3x/ | false | false | self | 1 | null |
The FinePDFs 📄 Book | 56 | Hey friends, Hynek from HuggingFace here.
We have released FinePDFs dataset of 3T tokens last year and we felt obliged to share the knowledge with there rest of OSS community.
The HuggingFace Press, has been pulling an extra hours through the Christmas, to put everything we know about PDFs inside:
\- How to... | 2026-01-06T18:34:44 | https://www.reddit.com/r/LocalLLaMA/comments/1q5qsvd/the_finepdfs_book/ | Other_Housing8453 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5qsvd | false | null | t3_1q5qsvd | /r/LocalLLaMA/comments/1q5qsvd/the_finepdfs_book/ | false | false | self | 56 | null |
Anyone try Prime Intellect-3 Prism? | 1 | Just found this. I'm curious on y'all thoughts on how this compares to Derestricted 120B and Derestricted Air 4.5.
The model card says that the abliteration process improved the model. I can say for the the derestricted models are better than stock, so this seems to be using a similar approach. | 2026-01-06T18:28:15 | https://huggingface.co/Ex0bit/Elbaz-Prime-Intellect-3_Prism_Abliterated | My_Unbiased_Opinion | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5qm6o | false | null | t3_1q5qm6o | /r/LocalLLaMA/comments/1q5qm6o/anyone_try_prime_intellect3_prism/ | false | false | default | 1 | {'enabled': False, 'images': [{'id': 's5pZc5yu4F8cetfK6uKJZDq-N-0pGpfRI8w2WuPV3o0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/s5pZc5yu4F8cetfK6uKJZDq-N-0pGpfRI8w2WuPV3o0.png?width=108&crop=smart&auto=webp&s=0e487145c6aea38489900593b51a1dbf6a120e74', 'width': 108}, {'height': 116, 'url': 'h... |
I Built an Unreal Engine Plugin for llama.cpp: My Notes & Experience with LLM Gaming | 17 | Hi folks, to disclaim up front, I do link a paid Unreal Engine 5 plugin that I have developed at the bottom of this post. My intention is to share the information in this post as research and discussion, not promotion. While I mention some solutions that I found and that ultimately are included in the plugin, I am hopi... | 2026-01-06T18:24:54 | https://www.reddit.com/r/LocalLLaMA/comments/1q5qix9/i_built_an_unreal_engine_plugin_for_llamacpp_my/ | WhopperitoJr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5qix9 | false | null | t3_1q5qix9 | /r/LocalLLaMA/comments/1q5qix9/i_built_an_unreal_engine_plugin_for_llamacpp_my/ | false | false | self | 17 | null |
How is this for a project? | 0 | I'm thinking an assistant for pc type, with interface like flow launcher, it can do basic tasks like search file, open file, close wifi etc. (I'm thinking use functiongemma for this). And for advanced tasks route to better model. | 2026-01-06T18:22:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q5qh0a/how_is_this_for_a_project/ | Lanky-Good-8881 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5qh0a | false | null | t3_1q5qh0a | /r/LocalLLaMA/comments/1q5qh0a/how_is_this_for_a_project/ | false | false | self | 0 | null |
A community index for MCPs that don’t disappear after the thread ends | 4 | I’ve noticed a recurring pattern with MCPs:
Useful ones get shared in threads, people bookmark them, and then they become hard to find once the discussion moves on.
To address that, I started keeping a **public index of MCPs with real usage notes**, where:
* reliable MCPs don’t get lost
* setup quirks and limitation... | 2026-01-06T18:04:47 | https://www.reddit.com/r/LocalLLaMA/comments/1q5pyio/a_community_index_for_mcps_that_dont_disappear/ | Silver-Photo2198 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5pyio | false | null | t3_1q5pyio | /r/LocalLLaMA/comments/1q5pyio/a_community_index_for_mcps_that_dont_disappear/ | false | false | self | 4 | null |
Best local MEDICAL LLM models in Jan 2026? | 2 | In your experience, which open-source LLM models were the best for medical purposes? | 2026-01-06T17:45:52 | https://www.reddit.com/r/LocalLLaMA/comments/1q5pexc/best_local_medical_llm_models_in_jan_2026/ | Hot-Comb-4743 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5pexc | false | null | t3_1q5pexc | /r/LocalLLaMA/comments/1q5pexc/best_local_medical_llm_models_in_jan_2026/ | false | false | self | 2 | null |
Samsung to launch Portable SSD P9, world’s first 8TB USB4 SSD with 4000MB/s speeds | 0 | 2026-01-06T17:37:47 | https://www.gizmochina.com/2026/01/05/samsung-portable-ssd-p9-usb4-to-launch-ces-2026/ | AdResident780 | gizmochina.com | 1970-01-01T00:00:00 | 0 | {} | 1q5p6rf | false | null | t3_1q5p6rf | /r/LocalLLaMA/comments/1q5p6rf/samsung_to_launch_portable_ssd_p9_worlds_first/ | false | false | default | 0 | null | |
llama.cpp - how are you doing websearch? | 2 | It would be really handy if gpt120 could search the web as a cli agent... | 2026-01-06T17:37:01 | https://www.reddit.com/r/LocalLLaMA/comments/1q5p60m/llamacpp_how_are_you_doing_websearch/ | Aggressive-Bother470 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5p60m | false | null | t3_1q5p60m | /r/LocalLLaMA/comments/1q5p60m/llamacpp_how_are_you_doing_websearch/ | false | false | self | 2 | null |
LGAI-EXAONE/K-EXAONE-236B-A23B released | 44 | 2026-01-06T17:30:10 | https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B | jinnyjuice | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5oz98 | false | null | t3_1q5oz98 | /r/LocalLLaMA/comments/1q5oz98/lgaiexaonekexaone236ba23b_released/ | false | false | default | 44 | {'enabled': False, 'images': [{'id': '9yRidQD6qePtlR5IIS0obyCIBcG3P371nr_MudwlERc', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9yRidQD6qePtlR5IIS0obyCIBcG3P371nr_MudwlERc.png?width=108&crop=smart&auto=webp&s=7130423f6689c17372bb513aa4861371447d25f0', 'width': 108}, {'height': 116, 'url': 'h... | |
Latest LLM (Uncensored) | 0 | What are the best and maybe the biggest uncensored and unrestricted LLMs?
Also, how can I download it? My Macbook max support 10B parameters model. However, I want to use bigger models for better response. | 2026-01-06T17:29:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q5oyes/latest_llm_uncensored/ | BADMOSH0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5oyes | false | null | t3_1q5oyes | /r/LocalLLaMA/comments/1q5oyes/latest_llm_uncensored/ | false | false | self | 0 | null |
Anyone doing A/B/C blind multi-model runs + cross-review before you trust an answer? | 2 | I kept doing the same loop: ask one model → it sounds right → I’m still not sure → ask another → compare… and I’m still guessing.
So I started using a simple “trust but verify” flow:
* Ask once
* Get 3–4 answers side-by-side
* Label them A/B/C (so model name doesn’t bias me)
* Run a cross-review: have models **rank**... | 2026-01-06T17:02:42 | https://www.reddit.com/r/LocalLLaMA/comments/1q5o7to/anyone_doing_abc_blind_multimodel_runs/ | IceComfortable890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5o7to | false | null | t3_1q5o7to | /r/LocalLLaMA/comments/1q5o7to/anyone_doing_abc_blind_multimodel_runs/ | false | false | self | 2 | null |
MiniMax M2 is GOATed - Agentic Capture the Flag (CTF) benchmark on GLM-4.5 air, 4.7 (+REAP), and Minimax-M2 | 54 | 2026-01-06T16:51:06 | sixx7 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5nw4k | false | null | t3_1q5nw4k | /r/LocalLLaMA/comments/1q5nw4k/minimax_m2_is_goated_agentic_capture_the_flag_ctf/ | false | false | 54 | {'enabled': True, 'images': [{'id': 'hTFavRRqgQzh1m8hzU9MrX5lDp9pYNtCCa95S2YpqSY', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/j0yzgwis8rbg1.png?width=108&crop=smart&auto=webp&s=fa9a29a9c6785bac96a7470f9f37545ee8954774', 'width': 108}, {'height': 116, 'url': 'https://preview.redd.it/j0yzgwis8rbg1.png... | |||
Built a local TTS app using Apple's MLX framework. No cloud, no API calls, runs entirely on device. | 0 | Been lurking here for a while and wanted to share something I built.
**What it is:**
A Mac app called [Murmur](https://tarun-yadav.com/murmur) that does text-to-speech locally using Apple's MLX framework. No internet required after install. Your text never leaves your machine.
**Why I built it:**
I wanted natural-s... | 2026-01-06T16:36:25 | https://v.redd.it/bfvl7tuabrbg1 | tarunyadav9761 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5nhln | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/bfvl7tuabrbg1/DASHPlaylist.mpd?a=1770309402%2CYTNjZTJjYWU3OWYzMjU2ZmVkZDg5YThlNjEyOGYzMGI2YTczYWQ3MmQ4ZGQ5ODdlMzY1ZGQ0ZTYxMDRiNWY5MA%3D%3D&v=1&f=sd', 'duration': 52, 'fallback_url': 'https://v.redd.it/bfvl7tuabrbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q5nhln | /r/LocalLLaMA/comments/1q5nhln/built_a_local_tts_app_using_apples_mlx_framework/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'cXQ2anQ5c2FicmJnMT5ICs7kDawfo1Fgfnw0GJpF94UbYpqrosjPAEkkD-iX', 'resolutions': [{'height': 69, 'url': 'https://external-preview.redd.it/cXQ2anQ5c2FicmJnMT5ICs7kDawfo1Fgfnw0GJpF94UbYpqrosjPAEkkD-iX.png?width=108&crop=smart&format=pjpg&auto=webp&s=01c1ddf2787cd58f15ff26f510582ed403346... | |
What would your ideal "AI/LLM wrapper" library actually do? | 4 | Agents, RAG, tool calling, switching between providers - the stuff that sounds simple until you're three days into refactoring. Langchain, Langsmith, Pydantic-ai, Logfire, LLMLite, LLM provider's direct sdks...
There are many ways to implement the capabilities. Some have one thing the others dont.
If something existe... | 2026-01-06T16:33:21 | https://www.reddit.com/r/LocalLLaMA/comments/1q5nekh/what_would_your_ideal_aillm_wrapper_library/ | Ancient-Direction231 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5nekh | false | null | t3_1q5nekh | /r/LocalLLaMA/comments/1q5nekh/what_would_your_ideal_aillm_wrapper_library/ | false | false | self | 4 | null |
https://claude.ai/chat/119c8d29-a42d-4d39-8341-d91a21e90d50 | 0 | Been lurking here for a while and wanted to share something I built.
**What it is:**
A Mac app called [Murmur](https://tarun-yadav.com/murmur) that does text-to-speech locally using Apple's MLX framework. No internet required after install. Your text never leaves your machine.
**Why I built it:**
I wanted natural-s... | 2026-01-06T16:28:16 | https://v.redd.it/gy6hligq9rbg1 | tarunyadav9761 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5n9hx | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/gy6hligq9rbg1/DASHPlaylist.mpd?a=1770308911%2CODFmMDBkMGJiYjQwODk2MTI3ZmYwMjZmZmYzYmRhMDg3NzNkODhhZjFkZTg3NDA0ZWM4Y2NiZGEyYzFiNzA5ZQ%3D%3D&v=1&f=sd', 'duration': 52, 'fallback_url': 'https://v.redd.it/gy6hligq9rbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q5n9hx | /r/LocalLLaMA/comments/1q5n9hx/httpsclaudeaichat119c8d29a42d4d398341d91a21e90d50/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MnpuMWZyZ3E5cmJnMT5ICs7kDawfo1Fgfnw0GJpF94UbYpqrosjPAEkkD-iX', 'resolutions': [{'height': 69, 'url': 'https://external-preview.redd.it/MnpuMWZyZ3E5cmJnMT5ICs7kDawfo1Fgfnw0GJpF94UbYpqrosjPAEkkD-iX.png?width=108&crop=smart&format=pjpg&auto=webp&s=b8d2030bd0a4a8bfce1ea30116f5855f00c8f... | |
Visual Approach for a Multi-Task AI Voicebot | 1 | I’m working on a project to build an AI voicebot. I’m trying to decide how to handle the visual representation of the bot. I’m torn between using a generative AI, or using a full 3D model. My main considerations are realism and user engagement, customization. I’d love to hear from anyone who has experience with voicebo... | 2026-01-06T16:19:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q5n06y/visual_approach_for_a_multitask_ai_voicebot/ | Few_Tip_959 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5n06y | false | null | t3_1q5n06y | /r/LocalLLaMA/comments/1q5n06y/visual_approach_for_a_multitask_ai_voicebot/ | false | false | self | 1 | null |
Unsloth-MLX - Fine-tune LLMs on your Mac (same API as Unsloth) | 131 | Hey Everyone,
I've been working on something for Mac users in the ML space.
Unsloth-MLX - an MLX-powered library that brings the Unsloth fine-tuning experience to Apple Silicon.
The idea is simple:
→ Prototype your LLM fine-tuning locally on Mac
→ Same code works on cloud GPUs with original Unsloth... | 2026-01-06T16:00:10 | A-Rahim | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5mh84 | false | null | t3_1q5mh84 | /r/LocalLLaMA/comments/1q5mh84/unslothmlx_finetune_llms_on_your_mac_same_api_as/ | false | false | default | 131 | {'enabled': True, 'images': [{'id': 'lf2sfats4rbg1', 'resolutions': [{'height': 105, 'url': 'https://preview.redd.it/lf2sfats4rbg1.png?width=108&crop=smart&auto=webp&s=b0617a726b3f8f99c472fc5cb14423705ec4f1fb', 'width': 108}, {'height': 210, 'url': 'https://preview.redd.it/lf2sfats4rbg1.png?width=216&crop=smart&auto=we... | |
[Hardware Question] - Do I understand correctly that you cannot run an RTX 50 or 6000 series accelerator with a P40 in the same system? | 1 | Because the RTX 50/6000 series drivers do not support the P40? And the driver package that support the P40 cannot support the 50/6000 series? | 2026-01-06T15:56:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q5mdyd/hardware_question_do_i_understand_correctly_that/ | wh33t | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5mdyd | false | null | t3_1q5mdyd | /r/LocalLLaMA/comments/1q5mdyd/hardware_question_do_i_understand_correctly_that/ | false | false | self | 1 | null |
A 30B Qwen Model Walks Into a Raspberry Pi… and Runs in Real Time | 465 | Hey r/LocalLLaMA,
We’re back with another **ShapeLearn** GGUF release ([Blog](https://byteshape.com/blogs/Qwen3-30B-A3B-Instruct-2507/), [Models](https://huggingface.co/byteshape/Qwen3-30B-A3B-Instruct-2507-GGUF)), this time for a model that *should not* feel this usable on small hardware… and yet here we are:
**Qwen... | 2026-01-06T15:45:12 | ali_byteshape | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5m2n6 | false | null | t3_1q5m2n6 | /r/LocalLLaMA/comments/1q5m2n6/a_30b_qwen_model_walks_into_a_raspberry_pi_and/ | false | false | default | 465 | {'enabled': True, 'images': [{'id': '52juwyqq0rbg1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/52juwyqq0rbg1.jpeg?width=108&crop=smart&auto=webp&s=c8e45a7f73028702a1052e827e05f35112e028a7', 'width': 108}, {'height': 144, 'url': 'https://preview.redd.it/52juwyqq0rbg1.jpeg?width=216&crop=smart&auto=w... | |
Top open LLM for consumers, start of 2026, bookmark this for 2027 | 0 | 2026-01-06T15:20:55 | opensourcecolumbus | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5lf5p | false | null | t3_1q5lf5p | /r/LocalLLaMA/comments/1q5lf5p/top_open_llm_for_consumers_start_of_2026_bookmark/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'nh3bylovxqbg1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/nh3bylovxqbg1.png?width=108&crop=smart&auto=webp&s=025f189a6c76387a772a84ce09acc38f118ba007', 'width': 108}, {'height': 112, 'url': 'https://preview.redd.it/nh3bylovxqbg1.png?width=216&crop=smart&auto=web... | ||
A 30B Qwen Model Walks Into a Raspberry Pi… and Runs in Real Time | 1 | [8+ TPS for a 30B Model on a Raspberry Pi](https://preview.redd.it/sgr9csyexqbg1.png?width=1536&format=png&auto=webp&s=90c163d1837514a80f60f6139fa5293e648d3ae5)
Hey r/LocalLLaMA,
We’re back with another **ShapeLearn** GGUF release ([Blog](https://byteshape.com/blogs/Qwen3-30B-A3B-Instruct-2507/), [Models](https://hug... | 2026-01-06T15:19:06 | https://www.reddit.com/r/LocalLLaMA/comments/1q5lddn/a_30b_qwen_model_walks_into_a_raspberry_pi_and/ | ali_byteshape | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5lddn | false | null | t3_1q5lddn | /r/LocalLLaMA/comments/1q5lddn/a_30b_qwen_model_walks_into_a_raspberry_pi_and/ | false | false | 1 | null | |
A 30B Qwen Model Walks Into a Raspberry Pi… and Runs in Real Time | 1 | [8+ TPS in Token Generation for a 30B model on a Raspberry Pi](https://preview.redd.it/msibjdzzvqbg1.png?width=1536&format=png&auto=webp&s=750f77f7a1c24750cc1cf9c820236ddca04e5da2)
Hey r/LocalLLaMA,
We’re back with another **ShapeLearn** GGUF release ([Blog](https://byteshape.com/blogs/Qwen3-30B-A3B-Instruct-2507/), ... | 2026-01-06T15:16:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q5laij/a_30b_qwen_model_walks_into_a_raspberry_pi_and/ | ali_byteshape | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5laij | false | null | t3_1q5laij | /r/LocalLLaMA/comments/1q5laij/a_30b_qwen_model_walks_into_a_raspberry_pi_and/ | false | false | 1 | null | |
I implemented Adaptive Compute for TTT (Test-Time Training) - PonderTTT (Paper & Code) | 4 | Paper: [https://arxiv.org/abs/2601.00894](https://arxiv.org/abs/2601.00894)
Code: [https://github.com/deveworld/ponderTTT](https://github.com/deveworld/ponderTTT)
Project: [https://ponderttt.worldsw.dev](https://ponderttt.worldsw.dev)
The idea: LLMs shouldn't spend the same compute on \`print("hello")\` and impleme... | 2026-01-06T14:53:15 | https://www.reddit.com/r/LocalLLaMA/comments/1q5kokx/i_implemented_adaptive_compute_for_ttt_testtime/ | sodevworld | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5kokx | false | null | t3_1q5kokx | /r/LocalLLaMA/comments/1q5kokx/i_implemented_adaptive_compute_for_ttt_testtime/ | false | false | self | 4 | null |
Falcon Picovoice | 0 | is falcon by [picovoice.ai](http://picovoice.ai) is good enough to diarize many people from the audio? | 2026-01-06T14:49:55 | https://www.reddit.com/r/LocalLLaMA/comments/1q5klib/falcon_picovoice/ | NitroOwO | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5klib | false | null | t3_1q5klib | /r/LocalLLaMA/comments/1q5klib/falcon_picovoice/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'EvzIuOZTDqLS59YXQ6CAS6K_WP1xt9hlTb3ZDoO91qg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/EvzIuOZTDqLS59YXQ6CAS6K_WP1xt9hlTb3ZDoO91qg.jpeg?width=108&crop=smart&auto=webp&s=7abcd8ad5c1180379ea8b11b6089cebe4351f442', 'width': 108}, {'height': 113, 'url': '... |
llama.cpp router -> claude code returns " . ? ! " single characters | 0 | Hey all,
Question, since some time I can't seem to get claude code using llama.cpp to work. All it does it return single characters like \``.`\` \``?`\` \``!`\`
I've been putting it away for sometime now, quickly switched to the pro claude plan. But I'm now running multiple plans and still run out. So, getting it... | 2026-01-06T14:46:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q5kidu/llamacpp_router_claude_code_returns_single/ | designbanana | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5kidu | false | null | t3_1q5kidu | /r/LocalLLaMA/comments/1q5kidu/llamacpp_router_claude_code_returns_single/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'cvmCITW57Ox8n1UPdfO2kFo1JCE1vWepjMkir96PZR8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/cvmCITW57Ox8n1UPdfO2kFo1JCE1vWepjMkir96PZR8.png?width=108&crop=smart&auto=webp&s=be66257dfb8060c1200a8a0cd0ca42206175a8fa', 'width': 108}, {'height': 116, 'url': 'h... |
Purging RLHF "assistant-voice" with Shannon Entropy (Math + DPO Export) | 9 | I'm tired of agents apologizing "as an AI language model" or using em-dashes and emojis in my data payloads. It is not just annoying; it is what I call an aesthetic lobotomy.
Most filters use word-lists, which are brittle. I've been experimenting with measuring the **Shannon Entropy** of the response string instead. P... | 2026-01-06T13:56:47 | https://www.reddit.com/r/LocalLLaMA/comments/1q5j9mv/purging_rlhf_assistantvoice_with_shannon_entropy/ | Proud-Employ5627 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5j9mv | false | null | t3_1q5j9mv | /r/LocalLLaMA/comments/1q5j9mv/purging_rlhf_assistantvoice_with_shannon_entropy/ | false | false | self | 9 | {'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': '... |
Transparent LLM logging proxy | 3 | What open source options are there for a lightweight, easy to deploy logging proxy where I can specify target endpoint and have the proxy transparently proxy that and log all requests (input and output) into a text file.
The purposes would be to enable a full audit of history to view what tool calls are being made, ex... | 2026-01-06T13:46:39 | https://www.reddit.com/r/LocalLLaMA/comments/1q5j0h1/transparent_llm_logging_proxy/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5j0h1 | false | null | t3_1q5j0h1 | /r/LocalLLaMA/comments/1q5j0h1/transparent_llm_logging_proxy/ | false | false | self | 3 | null |
Local, reversible PII anonymization for LLMs and Agents | 0 | I built a tool to handle PII in local AI pipelines without breaking the model's context or sending sensitive data to LLM providers. might be useful for others.
Most scrubbers are one-way (redact for analytics). rehydra is designed for **round-trip** workflows where you need to get the data back after inference (e.g., ... | 2026-01-06T13:16:19 | https://www.reddit.com/r/LocalLLaMA/comments/1q5iaml/local_reversible_pii_anonymization_for_llms_and/ | tojoru | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5iaml | false | null | t3_1q5iaml | /r/LocalLLaMA/comments/1q5iaml/local_reversible_pii_anonymization_for_llms_and/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'r30shB1BHJHd6Gx1A913XTEVIEcbxxrx6Ltm5klWVho', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/r30shB1BHJHd6Gx1A913XTEVIEcbxxrx6Ltm5klWVho.png?width=108&crop=smart&auto=webp&s=b6ad7dee008651f8dcf8bb82a844fb17e607876f', 'width': 108}, {'height': 108, 'url': 'h... |
Best small model (24GB gfx card) for fine-tuning (multi-lingual). | 1 | Looking for a model to train on non-english news articles to become familiar with the political situation and scandals of a particular country.
Software engineer, first time playing with LLMs/ML in general. | 2026-01-06T13:13:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q5i8f6/best_small_model_24gb_gfx_card_for_finetuning/ | primera_radi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5i8f6 | false | null | t3_1q5i8f6 | /r/LocalLLaMA/comments/1q5i8f6/best_small_model_24gb_gfx_card_for_finetuning/ | false | false | self | 1 | null |
Open Models Reached the Frontier | 4 | [CES 2026 Nvidia Keynote](https://preview.redd.it/op2rlxuy9qbg1.png?width=3840&format=png&auto=webp&s=86670c40e11663dc51cb7291b3c2b7de84e99445)
Really looking forward to what will happen with open-source models in 2026 | 2026-01-06T13:08:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q5i3oy/open_models_reached_the_frontier/ | InternationalAsk1490 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5i3oy | false | null | t3_1q5i3oy | /r/LocalLLaMA/comments/1q5i3oy/open_models_reached_the_frontier/ | false | false | 4 | null | |
Living With LLMs Everywhere - How Ambient LLMs Negate Security Policy | 1 | [removed] | 2026-01-06T12:20:47 | https://www.reddit.com/r/LocalLLaMA/comments/1q5h3vf/living_with_llms_everywhere_how_ambient_llms/ | davidSenTeGuard | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5h3vf | false | null | t3_1q5h3vf | /r/LocalLLaMA/comments/1q5h3vf/living_with_llms_everywhere_how_ambient_llms/ | false | false | self | 1 | null |
I need to run Qwen-Image-2512 in my VPS | 0 | Is anyone running the Qwen-Image-2512 model on a VPS?
I have a GPU-based VPS and would like to know the proper ways to run this model on a VPS. I tried GitHub repository method and the Diffusers method using ChatGPT guidance, but neither worked, and I am encountering continuous errors.
| 2026-01-06T12:19:37 | https://www.reddit.com/r/LocalLLaMA/comments/1q5h2yp/i_need_to_run_qwenimage2512_in_my_vps/ | Gokulkrish05 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5h2yp | false | null | t3_1q5h2yp | /r/LocalLLaMA/comments/1q5h2yp/i_need_to_run_qwenimage2512_in_my_vps/ | false | false | self | 0 | null |
Living With LLMs Everywhere - How Ambient LLMs Negate Security Policy | 1 | [removed] | 2026-01-06T12:16:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q5h0v0/living_with_llms_everywhere_how_ambient_llms/ | davidSenTeGuard | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5h0v0 | false | null | t3_1q5h0v0 | /r/LocalLLaMA/comments/1q5h0v0/living_with_llms_everywhere_how_ambient_llms/ | false | false | self | 1 | null |
So I've been losing my mind over document extraction in insurance for the past few years and I finally figured out what the right approach is. | 76 | I've been doing document extraction for insurance for a while now and honestly I almost gave up on it completely last year. Spent months fighting with accuracy issues that made no sense until I figured out what I was doing wrong.
everyone's using llms or tools like LlamaParse for extraction and they work fine but then... | 2026-01-06T11:53:43 | https://www.reddit.com/r/LocalLLaMA/comments/1q5gklh/so_ive_been_losing_my_mind_over_document/ | GloomyEquipment2120 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5gklh | false | null | t3_1q5gklh | /r/LocalLLaMA/comments/1q5gklh/so_ive_been_losing_my_mind_over_document/ | false | false | self | 76 | null |
DeepSeek V3.2 with dense attention (disabled lightning attention) GGUF available | 85 | It runs on regular llama.cpp builds (no extra support for DeepSeek V3.2 is needed).
Only Q8\_0 and Q4\_K\_M are available.
Use DeepSeek V3.2 Exp jinja template saved to a file to run this model by passing options: `--jinja --chat-template-file ds32-exp.jinja`
Here's the template I used in my tests: [https://pastebin... | 2026-01-06T11:50:35 | https://huggingface.co/sszymczyk/DeepSeek-V3.2-nolight-GGUF | fairydreaming | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5gii4 | false | null | t3_1q5gii4 | /r/LocalLLaMA/comments/1q5gii4/deepseek_v32_with_dense_attention_disabled/ | false | false | default | 85 | {'enabled': False, 'images': [{'id': 'jIuhV6ttH6YnzKpDkVMMUOo_Jh6zJvPJHB18Vyt60hU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/jIuhV6ttH6YnzKpDkVMMUOo_Jh6zJvPJHB18Vyt60hU.png?width=108&crop=smart&auto=webp&s=779ce91de7c7a462e1a8396cc3915be9a5addfbb', 'width': 108}, {'height': 116, 'url': 'h... |
Living With LLMs Everywhere - How Ambient LLMs Negate Security Policy. Would love feedback | 1 | 2026-01-06T11:33:18 | https://senteguard.com/blog/#post-cTdX0IaIRz8STpBU9VYk | davidSenTeGuard | senteguard.com | 1970-01-01T00:00:00 | 0 | {} | 1q5g71p | false | null | t3_1q5g71p | /r/LocalLLaMA/comments/1q5g71p/living_with_llms_everywhere_how_ambient_llms/ | false | false | default | 1 | null | |
Benchmark results for 671B DeepSeek in llama.cpp on 8 x RTX PRO 6000S (layer split mode) | 15 | This was run on my modified DeepSeek V3.2 model without lightning indexer tensors, but the performance shall be similar for all 671B DeepSeek models (R1, V3, V3.1, V3.2 with dense attention)
# Q4_K_M llama-bench
$ ./bin/llama-bench -m /workspace/hf/models--sszymczyk--DeepSeek-V3.2-nolight-GGUF/snapshots/c90cd1a38... | 2026-01-06T11:28:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q5g3ye/benchmark_results_for_671b_deepseek_in_llamacpp/ | fairydreaming | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5g3ye | false | null | t3_1q5g3ye | /r/LocalLLaMA/comments/1q5g3ye/benchmark_results_for_671b_deepseek_in_llamacpp/ | false | false | self | 15 | null |
ARM APU development? | 3 | When will we see more ARM-based chips that meet needs for AI workloads? I feel like this is the best middle ground and really where we should be focusing our energy on producing. The fact we could have high-performance ARM PC’s that can do the workload more efficiently, and an advancement in a space that is currently d... | 2026-01-06T11:22:23 | https://www.reddit.com/r/LocalLLaMA/comments/1q5g01p/arm_apu_development/ | azeoUnfortunately | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5g01p | false | null | t3_1q5g01p | /r/LocalLLaMA/comments/1q5g01p/arm_apu_development/ | false | false | self | 3 | null |
Artificial Analysis just refreshed their global model indices | 87 | [AA Link with my list models](https://artificialanalysis.ai/?models=gpt-oss-120b%2Cgpt-5-2-non-reasoning%2Cgpt-5-2%2Cgpt-5-1%2Cgpt-oss-20b%2Cllama-4-maverick%2Cgemini-3-pro%2Cgemini-3-flash%2Cgemini-3-flash-reasoning%2Cclaude-opus-4-5%2Cclaude-4-5-sonnet-thinking%2Cclaude-4-5-sonnet%2Cclaude-opus-4-5-thinking%2Cmistral... | 2026-01-06T11:10:20 | https://www.reddit.com/gallery/1q5fs95 | MadPelmewka | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q5fs95 | false | null | t3_1q5fs95 | /r/LocalLLaMA/comments/1q5fs95/artificial_analysis_just_refreshed_their_global/ | false | false | 87 | null | |
Can llm's rl training paradigm works without cot? | 1 | Today when people talk about rl4llm, (except for rl for aligning human preference) it always means first think then answer.
So I am wondering can llm's rl training paradigm works without cot?
Or say can rl act as substitute of sft in the "pre-training -> post-training just for a specific downstream task" pipe... | 2026-01-06T10:55:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q5fih0/can_llms_rl_training_paradigm_works_without_cot/ | Plenty_Ostrich4536 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5fih0 | false | null | t3_1q5fih0 | /r/LocalLLaMA/comments/1q5fih0/can_llms_rl_training_paradigm_works_without_cot/ | false | false | self | 1 | null |
Training can be possible on 12 GB RAM + 3 GB VRAM. | 21 | Yes. Training is possible on 12 GB RAM + 3 GB VRAM. I've created a model on a PC with a GTX 1050. IT'S POSSIBLE! But only 0.6B. [https://huggingface.co/Erik22TY/Nebulos-Distill-Qwen3-0.6BDFEEDWD](https://huggingface.co/Erik22TY/Nebulos-Distill-Qwen3-0.6BDFEEDWD) | 2026-01-06T10:54:32 | https://www.reddit.com/r/LocalLLaMA/comments/1q5fhpv/training_can_be_possible_on_12_gb_ram_3_gb_vram/ | Ok-Type-7663 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5fhpv | false | null | t3_1q5fhpv | /r/LocalLLaMA/comments/1q5fhpv/training_can_be_possible_on_12_gb_ram_3_gb_vram/ | false | false | self | 21 | {'enabled': False, 'images': [{'id': 'yWQXlL9OI84wgEoQcw06NNc3UxD6-X3De3EZYHwBpIs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/yWQXlL9OI84wgEoQcw06NNc3UxD6-X3De3EZYHwBpIs.png?width=108&crop=smart&auto=webp&s=b4f01aee215be0ad9cbf87215094c7742ede31f6', 'width': 108}, {'height': 116, 'url': 'h... |
Cerco suggerimenti: Lmstudio e openai/gpt-oss-20b | 0 | Ciao a tutti,
Mi piace l'idea di avere un sistema AI in locale ma riesco a capire una cosa.
Con ChatGPT pro mi trovo molto bene perché mi analizza di documenti che carico, si ricorda le cose che faccio e "impara" da me.
Invece in locale non riesco a capire come utilizzarlo al meglio... non si ricorda nulla e qui... | 2026-01-06T10:50:17 | https://www.reddit.com/r/LocalLLaMA/comments/1q5feyp/cerco_suggerimenti_lmstudio_e_openaigptoss20b/ | Signal_Pickle_3062 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5feyp | false | null | t3_1q5feyp | /r/LocalLLaMA/comments/1q5feyp/cerco_suggerimenti_lmstudio_e_openaigptoss20b/ | false | false | self | 0 | null |
I have been doing some benchmarking of SLM's | 3 | My hardware is pretty weak, using an intel n97 cpu with 32gb of 3200 mt/s ddr4 ram and a 512nvme.
Running on Debian with llama.cpp compiled on my machine specifically for CPU inference.
I have a test suite of 5 questions, and chatgpt measures and provides the results and comments.
My usability score is derived... | 2026-01-06T10:49:46 | https://www.reddit.com/r/LocalLLaMA/comments/1q5fels/i_have_been_doing_some_benchmarking_of_slms/ | fozid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5fels | false | null | t3_1q5fels | /r/LocalLLaMA/comments/1q5fels/i_have_been_doing_some_benchmarking_of_slms/ | false | false | 3 | null | |
Creating a minimalist chat interface for AI | 3 | I am creating a minimalist design chat interface for AI and planning to opensource it, now my question is what do you think can be improved from it? and what features would you like to see on it?
Currently planned features:
1. Allow users to use their local models
2. Tools(web\_search through searxng, and capability ... | 2026-01-06T10:41:10 | https://www.reddit.com/r/LocalLLaMA/comments/1q5f98m/creating_a_minimalist_chat_interface_for_ai/ | ultrassniper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5f98m | false | null | t3_1q5f98m | /r/LocalLLaMA/comments/1q5f98m/creating_a_minimalist_chat_interface_for_ai/ | false | false | 3 | null | |
Liquid AI released LFM2.5 1.2B Instruct | 101 | Today, we release LFM2.5, our most capable family of tiny on-device foundation models.
It’s built to power reliable on-device agentic applications: higher quality, lower latency, and broader modality support in the ~1B parameter class.
>LFM2.5 builds on our LFM2 device-optimized hybrid architecture
>Pretraining scale... | 2026-01-06T10:28:50 | KaroYadgar | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5f1jz | false | null | t3_1q5f1jz | /r/LocalLLaMA/comments/1q5f1jz/liquid_ai_released_lfm25_12b_instruct/ | false | false | 101 | {'enabled': True, 'images': [{'id': 'dSOQ2TGnWwKMlHXwKdFy9ZgCmUN4Pdb9WI4RIWf67cA', 'resolutions': [{'height': 75, 'url': 'https://preview.redd.it/e1qsc3urhpbg1.jpeg?width=108&crop=smart&auto=webp&s=4b1981e919e4a6f44ee380c70aa45da35b411cb9', 'width': 108}, {'height': 151, 'url': 'https://preview.redd.it/e1qsc3urhpbg1.jp... | ||
I built Ctrl: Execution control plane for high stakes agentic systems | 0 | I built Ctrl, an open-source execution control plane that sits between an agent and its tools.
Instead of letting tool calls execute directly, Ctrl intercepts them, dynamically scores risk, applies policy (allow / deny / approve), and only then executes; recording every intent, decision, and event in a local SQLite le... | 2026-01-06T10:25:50 | Temporary-Tap-7323 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5ezpy | false | null | t3_1q5ezpy | /r/LocalLLaMA/comments/1q5ezpy/i_built_ctrl_execution_control_plane_for_high/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 't06piyf4hpbg1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/t06piyf4hpbg1.gif?width=108&crop=smart&format=png8&s=fc72d4a580febbd6e7c120b285817651f864e3f1', 'width': 108}, {'height': 112, 'url': 'https://preview.redd.it/t06piyf4hpbg1.gif?width=216&crop=smart&format... | |
VAD based solutions on AI Assistants. Any Suggestions? | 1 | Hello Guys!
I'm trying to make an assitant with VAD(Voice Activity Detection)+Elevenlabs STT + Gemini + OpenAI TTS components. But I have some troubles with that system. Everything is OK if VAD system correctly understands my voice.
I have implemented various VAD solutions like Silero VAD, WebRTC, Picovoice Cobra VAD... | 2026-01-06T10:17:55 | https://www.reddit.com/r/LocalLLaMA/comments/1q5ev0w/vad_based_solutions_on_ai_assistants_any/ | No-Motor-6274 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5ev0w | false | null | t3_1q5ev0w | /r/LocalLLaMA/comments/1q5ev0w/vad_based_solutions_on_ai_assistants_any/ | false | false | self | 1 | null |
LoongFlow: Open Source Implementation of Evolutionary Agent Framework | 1 | [removed] | 2026-01-06T10:17:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q5euyz/loongflow_open_source_implementation_of/ | Hundredwz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5euyz | false | null | t3_1q5euyz | /r/LocalLLaMA/comments/1q5euyz/loongflow_open_source_implementation_of/ | false | false | self | 1 | null |
RTX 6000 Threadripper build drive question | 35 | The Build:
Motherboard: ASRock WRX90 WS EVO
CPU: Ryzen Threadripper PRO 9985WX
GPU: RTX 6000 MAX-Q x 3
RAM: 768GB (8x96GB) - Vcolor DDR5 6400 TR596G64D452O
Storage:
1. Samsung MZ-V9P2T0B/AM 990 PRO 2TB NVMe Solid State Drive
2. WD_BLACK 8TB SN850X NVMe Gen4 PCIe M.2 2280 WDS800T2XHE
3. Kioxia 30.72TB SSD
PSU: Supe... | 2026-01-06T10:16:51 | Direct_Bodybuilder63 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5eue3 | false | null | t3_1q5eue3 | /r/LocalLLaMA/comments/1q5eue3/rtx_6000_threadripper_build_drive_question/ | false | false | default | 35 | {'enabled': True, 'images': [{'id': 'svwnp4vmfpbg1', 'resolutions': [{'height': 192, 'url': 'https://preview.redd.it/svwnp4vmfpbg1.jpeg?width=108&crop=smart&auto=webp&s=0a18ab1372642f8ddd424d20fd556e40d5f90b70', 'width': 108}, {'height': 384, 'url': 'https://preview.redd.it/svwnp4vmfpbg1.jpeg?width=216&crop=smart&auto=... | |
LoongFlow: Open Source Implementation of Evolutionary Agent Framework | 1 | [removed] | 2026-01-06T10:14:51 | https://www.reddit.com/r/LocalLLaMA/comments/1q5et5w/loongflow_open_source_implementation_of/ | Hundredwz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5et5w | false | null | t3_1q5et5w | /r/LocalLLaMA/comments/1q5et5w/loongflow_open_source_implementation_of/ | false | false | self | 1 | null |
Speculative decoding and Finetuning | 1 | I've asked before about performance gains of Speculative decoding and majority of you said that it was.
Even though I don't have the resources at home to justify it, but i work in a very niche field. I've asked before about finetuning and they have stated that it's not currently worth the effort for the larger models... | 2026-01-06T09:52:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q5ega7/speculative_decoding_and_finetuning/ | uber-linny | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5ega7 | false | null | t3_1q5ega7 | /r/LocalLLaMA/comments/1q5ega7/speculative_decoding_and_finetuning/ | false | false | self | 1 | null |
Which OCR engine provides the best results with docling? | 2 | So far, I have tried out RapidOCR. I'm planning to try out TesserOCR and PaddleOCR with docling. | 2026-01-06T09:48:26 | https://www.reddit.com/r/LocalLLaMA/comments/1q5edkq/which_ocr_engine_provides_the_best_results_with/ | Pretend-Elevator874 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5edkq | false | null | t3_1q5edkq | /r/LocalLLaMA/comments/1q5edkq/which_ocr_engine_provides_the_best_results_with/ | false | false | self | 2 | null |
transcription and diarization on raspberry pi 4b | 1 | I am working on raspberry pi 4b model and I need a model to diarize and transcript audio file that consist of various speakers , i want an optimized and accurate model, any suggestions? | 2026-01-06T09:46:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q5ecnb/transcription_and_diarization_on_raspberry_pi_4b/ | NitroOwO | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5ecnb | false | null | t3_1q5ecnb | /r/LocalLLaMA/comments/1q5ecnb/transcription_and_diarization_on_raspberry_pi_4b/ | false | false | self | 1 | null |
Supertonic2: Lightning Fast, On-Device, Multilingual TTS | 191 | \[Demo\] [https://huggingface.co/spaces/Supertone/supertonic-2](https://huggingface.co/spaces/Supertone/supertonic-2)
\[Model\] [https://huggingface.co/Supertone/supertonic-2](https://huggingface.co/Supertone/supertonic-2)
\[Code\] [https://github.com/supertone-inc/supertonic](https://github.com/supertone-inc/superto... | 2026-01-06T09:24:47 | https://v.redd.it/k40jciwu5pbg1 | ANLGBOY | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5e010 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/k40jciwu5pbg1/DASHPlaylist.mpd?a=1770283503%2COWE4NzY2ZWNlNzE2MWYxOTM4NTZlMjVkN2E4NWQyMDNiOGJkZjkxOWMwZTU5ZmEwOTg0NGJkMDg4NDQ3MDRiOQ%3D%3D&v=1&f=sd', 'duration': 33, 'fallback_url': 'https://v.redd.it/k40jciwu5pbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q5e010 | /r/LocalLLaMA/comments/1q5e010/supertonic2_lightning_fast_ondevice_multilingual/ | false | false | 191 | {'enabled': False, 'images': [{'id': 'aTZxcnNkeXU1cGJnMYKGJdezLzYbef1CYRrcNdCGvvmVdrxf390KMohjzSE6', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/aTZxcnNkeXU1cGJnMYKGJdezLzYbef1CYRrcNdCGvvmVdrxf390KMohjzSE6.png?width=108&crop=smart&format=pjpg&auto=webp&s=30310e05e010818f1ab86cda7e0d914951dff... | |
Akicou/Solar-Open-69B-REAP · Hugging Face | 2 | ...you can now run Solar Open on everything ;)
[https://huggingface.co/mradermacher/Solar-Open-69B-REAP-GGUF](https://huggingface.co/mradermacher/Solar-Open-69B-REAP-GGUF)
[https://huggingface.co/mradermacher/Solar-Open-69B-REAP-i1-GGUF](https://huggingface.co/mradermacher/Solar-Open-69B-REAP-i1-GGUF)
| 2026-01-06T09:15:34 | https://huggingface.co/Akicou/Solar-Open-69B-REAP | jacek2023 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5duxc | false | null | t3_1q5duxc | /r/LocalLLaMA/comments/1q5duxc/akicousolaropen69breap_hugging_face/ | false | false | default | 2 | null |
Performance improvements in llama.cpp over time | 623 | 2026-01-06T09:03:03 | jacek2023 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5dnyw | false | null | t3_1q5dnyw | /r/LocalLLaMA/comments/1q5dnyw/performance_improvements_in_llamacpp_over_time/ | false | false | default | 623 | {'enabled': True, 'images': [{'id': 'lsqwma772pbg1', 'resolutions': [{'height': 66, 'url': 'https://preview.redd.it/lsqwma772pbg1.png?width=108&crop=smart&auto=webp&s=720e474f70d35227eb9ab2b7a90cd7fe332a2b21', 'width': 108}, {'height': 132, 'url': 'https://preview.redd.it/lsqwma772pbg1.png?width=216&crop=smart&auto=web... | ||
Radeon Pro v340 Drivers | 1 | I have been tinkering with a Radeon Pro v340 off and on for a while because I happened on a couple of them way back, however I have never been able to get it to be recognized. I thought it might be related to resizable bar issues and a peculiar motherboard so I put it back and forgot about it. Recently, I tried it agai... | 2026-01-06T08:22:31 | https://www.reddit.com/r/LocalLLaMA/comments/1q5d12j/radeon_pro_v340_drivers/ | dionysio211 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5d12j | false | null | t3_1q5d12j | /r/LocalLLaMA/comments/1q5d12j/radeon_pro_v340_drivers/ | false | false | self | 1 | null |
It was Ilya who "closed" OpenAI | 2 | 2026-01-06T08:21:25 | gherunchec | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5d0fg | false | null | t3_1q5d0fg | /r/LocalLLaMA/comments/1q5d0fg/it_was_ilya_who_closed_openai/ | false | false | 2 | {'enabled': True, 'images': [{'id': 'Y0vUoweiVjHu43HQNiCZmOtfLyKNg9TQr0ZzP1UbzHM', 'resolutions': [{'height': 128, 'url': 'https://preview.redd.it/9cql9asyuobg1.png?width=108&crop=smart&auto=webp&s=d82d98c50a6bb9177bfbb28d5545a16a58210ca5', 'width': 108}, {'height': 256, 'url': 'https://preview.redd.it/9cql9asyuobg1.pn... | |||
LTX-2 Open Sourced | 72 | 2026-01-06T07:51:17 | https://huggingface.co/Lightricks/LTX-2 | umarmnaq | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q5cj4e | false | null | t3_1q5cj4e | /r/LocalLLaMA/comments/1q5cj4e/ltx2_open_sourced/ | false | false | default | 72 | {'enabled': False, 'images': [{'id': 'x6ZxUm50mGHUPTJN69bpngmKLxle6Qp5s56OxgDYluY', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/x6ZxUm50mGHUPTJN69bpngmKLxle6Qp5s56OxgDYluY.png?width=108&crop=smart&auto=webp&s=368cdbdf3787df8d805ea04fcf436d6de359f6d0', 'width': 108}, {'height': 116, 'url': 'h... | |
LLM model scandle in South Korea | 5 | Sorry for my bad english.
Following the recent controversy debates surrounding the Upstage's Solar-open model, NAVER - a leading Korean tech company, is now facing allegations that its Hyperclover-OMNI 8B model adopted QWEN's vision & audio encoder without reference.
Many users in Korea believe this national compe... | 2026-01-06T07:41:44 | https://www.reddit.com/r/LocalLLaMA/comments/1q5cdfu/llm_model_scandle_in_south_korea/ | Desperate-Sir-5088 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5cdfu | false | null | t3_1q5cdfu | /r/LocalLLaMA/comments/1q5cdfu/llm_model_scandle_in_south_korea/ | false | false | self | 5 | null |
NVIDIA released a datacenter CFD dataset on Hugging Face | 15 | GitHub: [https://github.com/NVIDIA/physicsnemo](https://github.com/NVIDIA/physicsnemo)
Hugging face: [https://huggingface.co/datasets/nvidia/PhysicsNeMo-Datacenter-CFD](https://huggingface.co/datasets/nvidia/PhysicsNeMo-Datacenter-CFD)
NVIDIA PhysicsNeMo is an open-source deep-learning framework for building, trai... | 2026-01-06T07:26:33 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q5c4nn | false | null | t3_1q5c4nn | /r/LocalLLaMA/comments/1q5c4nn/nvidia_released_a_datacenter_cfd_dataset_on/ | false | false | 15 | {'enabled': True, 'images': [{'id': '6LgFQYR51Un6eRlPtkSdAWkNAFKnO2P4yAdiAG8JAyg', 'resolutions': [{'height': 39, 'url': 'https://preview.redd.it/ijjgb3g1lobg1.jpeg?width=108&crop=smart&auto=webp&s=79840fa3abc1554ff8b4b5cd19c6b9b2935f711f', 'width': 108}, {'height': 79, 'url': 'https://preview.redd.it/ijjgb3g1lobg1.jpe... | ||
Semantic geometry for visual grounding | 2 | I've been doing quite a bit of we automation stuff with LLM, but one of the biggest headaches is vision LLM hallucinating web UI elements coordinates with lots of retries.
To solve the problem and make it cheaper, I ended up building SentienceAPI, a small SDK + service that exposes a semantic, deterministic action sp... | 2026-01-06T07:01:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q5bpuk/semantic_geometry_for_visual_grounding/ | Aggressive_Bed7113 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5bpuk | false | null | t3_1q5bpuk | /r/LocalLLaMA/comments/1q5bpuk/semantic_geometry_for_visual_grounding/ | false | false | self | 2 | null |
MedAIBase/AntAngelMed · Hugging Face | 23 | Ant Health and others have just open‑sourced a medical language model: AntAngelMed.
It’s based on a Ling‑flash‑2.0 MoE architecture, with 100B total parameters and 6.1B activated parameters. On H20 it achieves inference speeds over 200 tokens/s and supports a 128K context window.
On HealthBench, the open‑source medic... | 2026-01-06T06:50:31 | https://www.reddit.com/r/LocalLLaMA/comments/1q5bj24/medaibaseantangelmed_hugging_face/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5bj24 | false | null | t3_1q5bj24 | /r/LocalLLaMA/comments/1q5bj24/medaibaseantangelmed_hugging_face/ | false | false | 23 | null | |
Are recent models really that bad? | 0 | For the last months I have mostly been using Claude for all my coding tasks (mostly Opus), and after Anthropic recently messed up with new limits I have been forced to look at other models as well, and I am genuinely shocked at how terrible they all are in comparision. Am I missing something or does anyone else feel th... | 2026-01-06T06:48:32 | https://www.reddit.com/r/LocalLLaMA/comments/1q5bhtn/are_recent_models_really_that_bad/ | davincible | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5bhtn | false | null | t3_1q5bhtn | /r/LocalLLaMA/comments/1q5bhtn/are_recent_models_really_that_bad/ | false | false | self | 0 | null |
Quick Start Guide For LTX-2 In ComfyUI on NVIDIA GPUs | 9 | Lightricks today released LTX-2, a new local AI video creation model that stand toe-to-toe with leading cloud-based models while generating up to 20 seconds of 4K video with impressive visual fidelity.
It's optimized for NVIDIA GPUs in ComfyUI, and we've put together a quick start guide for getting up and running wit... | 2026-01-06T06:33:55 | https://www.reddit.com/r/LocalLLaMA/comments/1q5b8s8/quick_start_guide_for_ltx2_in_comfyui_on_nvidia/ | NV_Cory | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5b8s8 | false | null | t3_1q5b8s8 | /r/LocalLLaMA/comments/1q5b8s8/quick_start_guide_for_ltx2_in_comfyui_on_nvidia/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'WCJhi0F7MUCrBFdh_Oe0PZZphtUZhMpoQK3HYJfAbvQ', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/WCJhi0F7MUCrBFdh_Oe0PZZphtUZhMpoQK3HYJfAbvQ.jpeg?width=108&crop=smart&auto=webp&s=497a65516841f7b87d1c9a929561a2c2e6a8d9c1', 'width': 108}, {'height': 113, 'url': '... |
WebGPU llama.cpp running in browser with Unity to drive NPC interactions (demo) | 10 | I've been experimenting with in-browser local inference via WebGPU and wired it into a tiny Unity game where the LLM acts as the NPC/agents "brain" to drive decisions at interactive rates.
Demo: [https://noumenalabs.itch.io/office-sim](https://noumenalabs.itch.io/office-sim)
Tech Stack:
* Unity Webgl
* Modified ... | 2026-01-06T06:31:58 | https://www.reddit.com/r/LocalLLaMA/comments/1q5b7kf/webgpu_llamacpp_running_in_browser_with_unity_to/ | lordhiggsboson | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5b7kf | false | null | t3_1q5b7kf | /r/LocalLLaMA/comments/1q5b7kf/webgpu_llamacpp_running_in_browser_with_unity_to/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': '9uQ0LQ5ONnj4BW054d-0N-A-Myj-301Ywp_ZrccICG8', 'resolutions': [{'height': 67, 'url': 'https://external-preview.redd.it/9uQ0LQ5ONnj4BW054d-0N-A-Myj-301Ywp_ZrccICG8.png?width=108&crop=smart&auto=webp&s=ed6c6eb7dd7dc75c1095c7c8470978cdadba67a7', 'width': 108}, {'height': 135, 'url': 'h... |
LoongFlow: Open Source Implementation of Evolutionary Agent Framework | 1 | [removed] | 2026-01-06T06:05:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q5aqkb/loongflow_open_source_implementation_of/ | Sea_Individual2470 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q5aqkb | false | null | t3_1q5aqkb | /r/LocalLLaMA/comments/1q5aqkb/loongflow_open_source_implementation_of/ | false | false | self | 1 | null |
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