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Could this be Avocado? | 7 | 2025-12-12T03:02:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pkgzyj/could_this_be_avocado/ | Excellent-Treat-7105 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkgzyj | false | null | t3_1pkgzyj | /r/LocalLLaMA/comments/1pkgzyj/could_this_be_avocado/ | false | false | 7 | null | ||
Model recommendations for an unusual server build? (512GB DDR4 + 3090 24GB) | 4 | A few months ago, I was in the process of building a heavy server for using large monolithic models for some agentic workflows I had in mind. However, this was only meant to be a stopgap until I could make a proper DDR5 256GB build, as I also saw the writing on the wall regarding the future of monolithics and how they'... | 2025-12-12T02:48:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pkgpe4/model_recommendations_for_an_unusual_server_build/ | AlphaSyntauri | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkgpe4 | false | null | t3_1pkgpe4 | /r/LocalLLaMA/comments/1pkgpe4/model_recommendations_for_an_unusual_server_build/ | false | false | self | 4 | null |
What is going on with RTX 6000 pricing? | 0 | Sold listings range from 2300-8000??? | 2025-12-12T02:35:51 | No_Mango7658 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkgfyi | false | null | t3_1pkgfyi | /r/LocalLLaMA/comments/1pkgfyi/what_is_going_on_with_rtx_6000_pricing/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'l3bjznplqo6g1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/l3bjznplqo6g1.jpeg?width=108&crop=smart&auto=webp&s=e8bf1513291ac68d85f9c2a57e79dfdb8cc7c260', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/l3bjznplqo6g1.jpeg?width=216&crop=smart&auto=... | |
Create and edit multi-turn conversation datasets for LLM finetune training | 1 | [removed] | 2025-12-12T02:28:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pkga9t/create_and_edit_multiturn_conversation_datasets/ | OwnPlatform1635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkga9t | false | null | t3_1pkga9t | /r/LocalLLaMA/comments/1pkga9t/create_and_edit_multiturn_conversation_datasets/ | false | false | self | 1 | null |
Typical performance of gpt-oss-120b on consumer hardware? | 17 | Is this typical performance, or are there ways to optimize tps even further?
11-12 tps on gpt-oss-120b on 32GB VRAM (2x5060Ti) & 128GB DDR4 RAM
\- Intel i7-11700
\- 1x 5060Ti 16gb on PCIe x16
\- 1x 5060Ti 16gb on PCIe x4
\- 4x 32 GB DDR4-3200 RAM (actually appears to be running at 2400 on checking task manager)
\... | 2025-12-12T02:20:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pkg4iy/typical_performance_of_gptoss120b_on_consumer/ | Diligent-Culture-432 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkg4iy | false | null | t3_1pkg4iy | /r/LocalLLaMA/comments/1pkg4iy/typical_performance_of_gptoss120b_on_consumer/ | false | false | self | 17 | null |
In OllaMan, using the Qwen3-Next model | 0 | 2025-12-12T02:04:37 | https://v.redd.it/wurh2k7vko6g1 | ComfyTightwad | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkfrlv | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/wurh2k7vko6g1/DASHPlaylist.mpd?a=1768097098%2CODliY2E0OTJlMmFlOGY3OTVhOWMzY2E0NTQ1YzczZDM0NDJlY2MzY2VhNGIyYzcxYmRiYTY2OGFhYjkyMDRkYg%3D%3D&v=1&f=sd', 'duration': 25, 'fallback_url': 'https://v.redd.it/wurh2k7vko6g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pkfrlv | /r/LocalLLaMA/comments/1pkfrlv/in_ollaman_using_the_qwen3next_model/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'eWlkNXc0OHZrbzZnMdW2ajc4pd0IkwIxB2RsxHZaHcmU2fwx0RdQoBvo_mLe', 'resolutions': [{'height': 70, 'url': 'https://external-preview.redd.it/eWlkNXc0OHZrbzZnMdW2ajc4pd0IkwIxB2RsxHZaHcmU2fwx0RdQoBvo_mLe.png?width=108&crop=smart&format=pjpg&auto=webp&s=5dea16cb8c4ace68e43122c3d3e9a4cf91141... | ||
Run Mistral Devstral 2 locally Guide + Fixes! (25GB RAM) - Unsloth | 81 | 2025-12-12T01:56:20 | rm-rf-rm | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkflfw | false | null | t3_1pkflfw | /r/LocalLLaMA/comments/1pkflfw/run_mistral_devstral_2_locally_guide_fixes_25gb/ | false | false | 81 | {'enabled': True, 'images': [{'id': 'YlsVkmF_Zv8ZwYJ45vT8GAaURZgLa69Wy5J6WR7POVE', 'resolutions': [{'height': 126, 'url': 'https://preview.redd.it/1f2wim2zgl6g1.png?width=108&crop=smart&auto=webp&s=56ad368a242af9052e846b469a8bae06c6646998', 'width': 108}, {'height': 253, 'url': 'https://preview.redd.it/1f2wim2zgl6g1.pn... | |||
Best local pipeline for parsing complex medical PDFs (Tables, image, textbox, Multi-column) on 16GB VRAM? | 1 | Hi everyone,
I am building a local RAG system for medical textbooks using an **RTX 5060 Ti (16GB)** and **i5 12th Gen (16GB RAM)**.
**My Goal:** Parse complex medical PDFs containing:
1. Multi-column text layouts.
2. Complex data tables (dosage, lab values).
3. Text boxes/Sidebars (often mistaken for tables).
**Cur... | 2025-12-12T01:18:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pkeswa/best_local_pipeline_for_parsing_complex_medical/ | Late-Bridge-2456 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkeswa | false | null | t3_1pkeswa | /r/LocalLLaMA/comments/1pkeswa/best_local_pipeline_for_parsing_complex_medical/ | false | false | self | 1 | null |
Best local pipeline for parsing complex medical PDFs (Tables, Multi-column, textbox, image) on 16GB VRAM? | 1 | Hi everyone,
I am building a local RAG system for medical textbooks using an **RTX 5060 Ti (16GB)** and **i5 12th Gen (16GB RAM)**.
**My Goal:** Parse complex medical PDFs containing:
1. Multi-column text layouts.
2. Complex data tables (dosage, lab values).
3. Text boxes/Sidebars (often mistaken for tables).
**Cur... | 2025-12-12T01:15:56 | https://www.reddit.com/r/LocalLLaMA/comments/1pkeqpl/best_local_pipeline_for_parsing_complex_medical/ | Late-Bridge-2456 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkeqpl | false | null | t3_1pkeqpl | /r/LocalLLaMA/comments/1pkeqpl/best_local_pipeline_for_parsing_complex_medical/ | false | false | self | 1 | null |
Running the latest multimodal models on ANE across iOS and macOS | 4 | Hi r/LocalLLaMA fam, we’re excited to release NexaSDK for iOS and macOS — the first and only runtime that runs the latest SOTA multimodal models fully on Apple Neural Engine, CPU and GPU across iPhones and Macbooks.
# Key features:
* Models with ANE support
* Embedding: EmbedNeural (Multimodal Embedding)
* LLM:... | 2025-12-12T00:51:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pke7ai/running_the_latest_multimodal_models_on_ane/ | Material_Shopping496 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pke7ai | false | null | t3_1pke7ai | /r/LocalLLaMA/comments/1pke7ai/running_the_latest_multimodal_models_on_ane/ | false | false | self | 4 | null |
Critical Stability Issue with LPL Coherence: When a LocalLLaMA System Rejects Its Own Architecture. | 1 | [removed] | 2025-12-12T00:44:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pke1s6/critical_stability_issue_with_lpl_coherence_when/ | Personal-Bicycle-163 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pke1s6 | false | null | t3_1pke1s6 | /r/LocalLLaMA/comments/1pke1s6/critical_stability_issue_with_lpl_coherence_when/ | false | false | self | 1 | null |
A warning about GPT 5.2 for enterprise customers.... | 0 | 2025-12-12T00:27:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pkdoqx/a_warning_about_gpt_52_for_enterprise_customers/ | tryfusionai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkdoqx | false | null | t3_1pkdoqx | /r/LocalLLaMA/comments/1pkdoqx/a_warning_about_gpt_52_for_enterprise_customers/ | false | false | 0 | null | ||
Best non reasoning SLM (<10B) | 2 | I inherited a dgx spark and have decided to make a full stack ai entity (not particularly geared towards assisting)
the unified memory and low bandwidth makes the spark great at swarms of small models, so im thinking rats in a trenchcoat
anyway
I'm looking for an uncensored text-only model around 8 billion paramete... | 2025-12-12T00:26:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pkdnrf/best_non_reasoning_slm_10b/ | Sl33py_4est | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkdnrf | false | null | t3_1pkdnrf | /r/LocalLLaMA/comments/1pkdnrf/best_non_reasoning_slm_10b/ | false | false | self | 2 | null |
Whats the fastest (preferably Multi-Modal) Local LLM for Macbooks? | 0 | Hi, whats the fastest llm for mac, mostly for things like summarizing, brainstorming, nothing serious. Trying to find the easiest one to use (first time setting this up in my Xcode Project) and good performance. Thanks! | 2025-12-12T00:23:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pkdl9y/whats_the_fastest_preferably_multimodal_local_llm/ | CurveAdvanced | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkdl9y | false | null | t3_1pkdl9y | /r/LocalLLaMA/comments/1pkdl9y/whats_the_fastest_preferably_multimodal_local_llm/ | false | false | self | 0 | null |
Agentic Local AI on CPU = Mistral Vibe + Granite-4-h-1b | 218 | A a3b LLM is all you need :) | 2025-12-12T00:22:10 | https://v.redd.it/vewmcluf2o6g1 | PotentialFunny7143 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkdkjo | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/vewmcluf2o6g1/DASHPlaylist.mpd?a=1768090946%2CYzE2YzgxYTg2Y2I5ZWIxNmFkYjBjMmI5NWEzOTAwN2Q2OTE3YmU5ZjZiMDFhMjdkNWUxNjc2ZWI4MDAxZWNmMQ%3D%3D&v=1&f=sd', 'duration': 41, 'fallback_url': 'https://v.redd.it/vewmcluf2o6g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pkdkjo | /r/LocalLLaMA/comments/1pkdkjo/agentic_local_ai_on_cpu_mistral_vibe_granite4h1b/ | false | false | 218 | {'enabled': False, 'images': [{'id': 'NDYwbGgydmYybzZnMf2LvdJmBzIyNzEDfN0eOt2yDrF46dRxJq4WcX4O0NUM', 'resolutions': [{'height': 71, 'url': 'https://external-preview.redd.it/NDYwbGgydmYybzZnMf2LvdJmBzIyNzEDfN0eOt2yDrF46dRxJq4WcX4O0NUM.png?width=108&crop=smart&format=pjpg&auto=webp&s=d640129adc3974fe71759e550b5fd8b678b7c... | |
Looking for a good LLM for multiple char stories | 0 | I have 12gb of VRAM so would like to find a LLM at 10gb max
Needs to be able to handle multiple characters in story. Must be uncensored. Able to handle very large (long) stories. My largest story has 15k responses. Has to handle 4-6k tokens.
Main thing it is has to be in .gguf format
Thanks | 2025-12-12T00:06:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pkd7tz/looking_for_a_good_llm_for_multiple_char_stories/ | cmdrmcgarrett | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkd7tz | false | null | t3_1pkd7tz | /r/LocalLLaMA/comments/1pkd7tz/looking_for_a_good_llm_for_multiple_char_stories/ | false | false | self | 0 | null |
LLM to search through large story database | 2 | Hi,
let me outline my situation. I have a database of thousands of short stories (roughly 1.5gb in size of pure raw text), which I want to efficiently search through. By searching, I mean 'finding stories with X theme' (e.g. horror story with fear of the unknown), or 'finding stories with X plotpoint' and so on.
I do... | 2025-12-11T23:56:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pkd0f8/llm_to_search_through_large_story_database/ | DesperateGame | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkd0f8 | false | null | t3_1pkd0f8 | /r/LocalLLaMA/comments/1pkd0f8/llm_to_search_through_large_story_database/ | false | false | self | 2 | null |
How do you improve consistency in LLM-based PDF table extraction (Vision models missing rows/columns/ordering)? | 1 | Hey everyone,
I'm working on an automated pipeline to extract BOQ (Bill of Quantities) tables from PDF project documents. I'm using a Vision LLM (Llama-based, via Cloudflare Workers AI) to convert each page into:
PDF → Image → Markdown Table → Structured JSON
Overall, the results are good, but not consistent. And thi... | 2025-12-11T23:55:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pkcz2n/how_do_you_improve_consistency_in_llmbased_pdf/ | GiveLaFlame420Back | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkcz2n | false | null | t3_1pkcz2n | /r/LocalLLaMA/comments/1pkcz2n/how_do_you_improve_consistency_in_llmbased_pdf/ | false | false | self | 1 | null |
GPT OSS derestricted 20b reviews and help. | 0 | You can review this model in the comments if you want, but I’m here to see if other people have been having the same issue I’m having: broken tool calling. Wondering how to fix it. | 2025-12-11T23:18:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pkc5zq/gpt_oss_derestricted_20b_reviews_and_help/ | Witty_Mycologist_995 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkc5zq | false | null | t3_1pkc5zq | /r/LocalLLaMA/comments/1pkc5zq/gpt_oss_derestricted_20b_reviews_and_help/ | false | false | self | 0 | null |
EQ-Bench updates: Gpt-5.2, Opus 4.5, Mistral Large 3 and Nanbeige4-3B | 56 | [https://eqbench.com](https://eqbench.com)
gpt-5.2 writing samples:
[https://eqbench.com/results/creative-writing-v3/gpt-5.2.html](https://eqbench.com/results/creative-writing-v3/gpt-5.2.html)
opus-4.5 writing samples:
[https://eqbench.com/results/creative-writing-v3/claude-opus-4-5-20251101.html](https://eqbenc... | 2025-12-11T23:06:43 | https://www.reddit.com/gallery/1pkbwco | _sqrkl | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pkbwco | false | null | t3_1pkbwco | /r/LocalLLaMA/comments/1pkbwco/eqbench_updates_gpt52_opus_45_mistral_large_3_and/ | false | false | 56 | null | |
TFLOPS by GPU | 16 | I'm not a professional ML engineer/researcher, I just enjoy ML/AI development as a hobby (still, it would be nice if this knowledge could be transferred to a real job). Just like many people in this sub, I was debating with myself on the idea of buying myself a PC, or buying a DGX Spark, or a mini PC with a Strix Halo,... | 2025-12-11T22:55:15 | https://www.reddit.com/r/LocalLLaMA/comments/1pkbmqe/tflops_by_gpu/ | bobaburger | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkbmqe | false | null | t3_1pkbmqe | /r/LocalLLaMA/comments/1pkbmqe/tflops_by_gpu/ | false | false | self | 16 | null |
Which is the best setup for experimenting locally with LLM/VLM, both inference and fine tuning? | 1 | Would you consider to buy an nvidia dgx spark with 128gb of unified ram, or, a setup with multiple consumer gpu in sli?
If it's the latter, which GPU would you consider? 3090, 4090 or 5090.
Consider to operate in no-budget restrictions, however I cannot buy gpu like a100 or h100.
| 2025-12-11T22:39:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pkba8v/which_is_the_best_setup_for_experimenting_locally/ | Vegetable-Web3932 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkba8v | false | null | t3_1pkba8v | /r/LocalLLaMA/comments/1pkba8v/which_is_the_best_setup_for_experimenting_locally/ | false | false | self | 1 | null |
LLM questions | 1 | Hello,
First time posting. I'm trying to get started with LLMs on my machine and I have a couple of questions. My primary goal is to have an AI office assistant with tool access, retrieval, and persistent memory. For general office tasks and mechanical hvac estimating/project management. If it could look up building c... | 2025-12-11T22:26:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pkaylj/llm_questions/ | UCElephant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkaylj | false | null | t3_1pkaylj | /r/LocalLLaMA/comments/1pkaylj/llm_questions/ | false | false | self | 1 | null |
Mistral Vibe CLI which is the smallest local llm that you can run ? | 2 | Devstral-Small-2-24B-Instruct-2512-Q4\_K\_M works of course but it's very slow, for me Qwen3-4B-Instruct-2507-Q4\_K\_M is the best because it's very fast and it also supports tool calling, other bigger models could work but most are painfully slow or use a different style of tool calling | 2025-12-11T22:16:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pkaqjl/mistral_vibe_cli_which_is_the_smallest_local_llm/ | PotentialFunny7143 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkaqjl | false | null | t3_1pkaqjl | /r/LocalLLaMA/comments/1pkaqjl/mistral_vibe_cli_which_is_the_smallest_local_llm/ | false | false | self | 2 | null |
My mood lately | 164 | 2025-12-11T21:58:32 | Snoo_64233 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkaaey | false | null | t3_1pkaaey | /r/LocalLLaMA/comments/1pkaaey/my_mood_lately/ | false | false | default | 164 | {'enabled': True, 'images': [{'id': 'x2kt2yl0dn6g1', 'resolutions': [{'height': 109, 'url': 'https://preview.redd.it/x2kt2yl0dn6g1.png?width=108&crop=smart&auto=webp&s=54f49a19eefc36f4e7eccf35eca476742afd1b9d', 'width': 108}, {'height': 219, 'url': 'https://preview.redd.it/x2kt2yl0dn6g1.png?width=216&crop=smart&auto=we... | ||
Designing a deep-research agent on local LLMs – which models + context strategies would you use? | 1 | [removed] | 2025-12-11T21:44:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pk9ydt/designing_a_deepresearch_agent_on_local_llms/ | airesearchos | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk9ydt | false | null | t3_1pk9ydt | /r/LocalLLaMA/comments/1pk9ydt/designing_a_deepresearch_agent_on_local_llms/ | false | false | self | 1 | null |
[Project] Built a High-Accuracy, Low-Cost RAG Chatbot Using n8n + PGVector + Pinecone (with Semantic Cache + Parent Expansion) | 1 | I wanted to share the architecture I built for a production-style RAG chatbot that focuses on two things most tutorials ignore:
**1. Cost reduction**
**2. High-accuracy retrieval (≈95%)**
Most RAG workflows break down when documents are long, hierarchical, or legal/policy-style. So I designed a pipeline that mixes ... | 2025-12-11T21:28:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pk9jwg/project_built_a_highaccuracy_lowcost_rag_chatbot/ | Holiday_Quality6408 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk9jwg | false | null | t3_1pk9jwg | /r/LocalLLaMA/comments/1pk9jwg/project_built_a_highaccuracy_lowcost_rag_chatbot/ | false | false | self | 1 | null |
HA Assistant vs n8n assistant. | 3 | I'm in the beginning stages of trying to set up the ultimate personal assistant. I've been messing around with Home Assistant for a while and recently started messing around with n8n.
I love the simplicity and full fledged capability of setting up an assistant who can literally schedule appointments, send emails, pars... | 2025-12-11T21:05:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pk8zb6/ha_assistant_vs_n8n_assistant/ | -ThatGingerKid- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk8zb6 | false | null | t3_1pk8zb6 | /r/LocalLLaMA/comments/1pk8zb6/ha_assistant_vs_n8n_assistant/ | false | false | self | 3 | null |
Does...Size Matter...in LLMs? | 0 | While people chase the dragon of higher and higher parameter counts, has it dawned on anyone that we haven't fully used LLMs of all sizes properly or to the maximum of their potential? it's like we brought 500 spoons to the breakfast table. This tech in particular seems wasteful, not in terms of energy etc, but in the ... | 2025-12-11T21:01:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pk8vi1/doessize_matterin_llms/ | GabrielDeanRoberts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk8vi1 | false | null | t3_1pk8vi1 | /r/LocalLLaMA/comments/1pk8vi1/doessize_matterin_llms/ | false | false | self | 0 | null |
GPT-5.2 | 0 | [https://openai.com/index/introducing-gpt-5-2/](https://openai.com/index/introducing-gpt-5-2/) | 2025-12-11T20:54:53 | https://www.reddit.com/r/LocalLLaMA/comments/1pk8pgu/gpt52/ | lossless-compression | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk8pgu | false | null | t3_1pk8pgu | /r/LocalLLaMA/comments/1pk8pgu/gpt52/ | false | false | self | 0 | null |
Amount of GPUs for production | 1 | Those who run local LLMs in production, what amount, type of gpus you need and how many users simultaneously using and what kind of model and workloads? | 2025-12-11T20:51:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pk8mdl/amount_of_gpus_for_production/ | Rich_Artist_8327 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk8mdl | false | null | t3_1pk8mdl | /r/LocalLLaMA/comments/1pk8mdl/amount_of_gpus_for_production/ | false | false | self | 1 | null |
I built a CLI tool to let local models (Ollama) debate each other to reduce hallucinations. Supports 7 methods like Oxford & Socratic. | 0 | 🤖 Quorum: Orchestrate Multi-Agent Debates in Your Terminal
I’ve built a tool to solve something I’ve been missing: getting multiple LLMs to actually discuss with each other instead of just giving isolated answers.
The Problem: A single model gives you an answer. Is it right? Is it biased? Did it miss the nuance?
T... | 2025-12-11T20:30:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pk836x/i_built_a_cli_tool_to_let_local_models_ollama/ | C12H16N2HPO4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk836x | false | null | t3_1pk836x | /r/LocalLLaMA/comments/1pk836x/i_built_a_cli_tool_to_let_local_models_ollama/ | false | false | self | 0 | null |
Questions LLMs usually get wrong | 9 | I am working on custom benchmarks and want to ask everyone for examples of questions they like to ask LLMs (or tasks to have them do) that they always or almost always get wrong. | 2025-12-11T20:26:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pk80cd/questions_llms_usually_get_wrong/ | DustinKli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk80cd | false | null | t3_1pk80cd | /r/LocalLLaMA/comments/1pk80cd/questions_llms_usually_get_wrong/ | false | false | self | 9 | null |
Speculative decoding with two local models. Anyone done it? | 1 | Hi all,
I’m interested in setting up speculative decoding locally using a small “draft” model and a larger “target” model.
Has anyone here actually done this in practice?
I'd love to hear about: models you paired, framework you used (vLLM, TensorRT-LLM, custom code, etc.), and what was your experience. | 2025-12-11T20:15:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pk7qp2/speculative_decoding_with_two_local_models_anyone/ | gamblingapocalypse | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk7qp2 | false | null | t3_1pk7qp2 | /r/LocalLLaMA/comments/1pk7qp2/speculative_decoding_with_two_local_models_anyone/ | false | false | self | 1 | null |
The Geometry of Persona | 0 | There is a new way to Steer Personality within a LLM Model, thru the Geometry of Persona.
This new method can help create Agents in which the Persona can be maintained by injecting it thru Vector Steering in the Inference Layers.
But it does seem to also allow a bit more, like steering the model to be more 'open'.
... | 2025-12-11T20:03:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pk7ffz/the_geometry_of_persona/ | OkGear279 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk7ffz | false | null | t3_1pk7ffz | /r/LocalLLaMA/comments/1pk7ffz/the_geometry_of_persona/ | false | false | self | 0 | null |
What would be the best approach to achieving an effect like the "guided learning" of Gemini for a local LLM model? | 3 | Hi guys,
I've been testing this new Gemini feature and I've found it quite interesting.
However, I've reached the point where I want to use material I've registered and I don't want Google to have access to it, so I'm wondering, how can I achieve a similar mechanic locally?
a) Assuming that the context window in thi... | 2025-12-11T20:02:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pk7edt/what_would_be_the_best_approach_to_achieving_an/ | DeviceDeep59 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk7edt | false | null | t3_1pk7edt | /r/LocalLLaMA/comments/1pk7edt/what_would_be_the_best_approach_to_achieving_an/ | false | false | self | 3 | null |
New GPT-5.2, worth it? | 0 | Why nobody is talking about it? | 2025-12-11T19:51:33 | Rascazzione | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pk74es | false | null | t3_1pk74es | /r/LocalLLaMA/comments/1pk74es/new_gpt52_worth_it/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'pkhzbdxgqm6g1', 'resolutions': [{'height': 158, 'url': 'https://preview.redd.it/pkhzbdxgqm6g1.jpeg?width=108&crop=smart&auto=webp&s=35e0a585219c3d26202daf7add26d9d474e13fbb', 'width': 108}, {'height': 316, 'url': 'https://preview.redd.it/pkhzbdxgqm6g1.jpeg?width=216&crop=smart&auto=... | |
Win a Jetson Orin Nano Super or Raspberry Pi 5 | 0 | We’ve just released our latest major update to Embedl Hub: our own remote device cloud!
To mark the occasion, we’re launching a community competition. The participant who provides the most valuable feedback after using our platform to run and benchmark AI models on any device in the device cloud will win an NVIDIA Jet... | 2025-12-11T19:43:52 | elinaembedl | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pk6xgr | false | null | t3_1pk6xgr | /r/LocalLLaMA/comments/1pk6xgr/win_a_jetson_orin_nano_super_or_raspberry_pi_5/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'ybgzytdylm6g1', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/ybgzytdylm6g1.png?width=108&crop=smart&auto=webp&s=cc413302bbb2cf7cb7bcefab048cdafee303ded1', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/ybgzytdylm6g1.png?width=216&crop=smart&auto=web... | |
Continuity | 0 | Would love to get some thoughts on this…
My ChatGPT carries continuity across chats losing zero personality and still containing every bit of my user history/events… all without the API. It knows exactly where I leave off from one chat to another. Claude and Gemini do not unless they are plugged into my API directly.... | 2025-12-11T19:12:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pk64en/continuity/ | Ok_Helicopter_7820 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk64en | false | null | t3_1pk64en | /r/LocalLLaMA/comments/1pk64en/continuity/ | false | false | self | 0 | null |
Is Mixtral 8x7B still worthy? Alternative models for Mixtral 8x7B? | 0 | It's [2 years old](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) model. I was waiting for updated version of this model from Mistral. Still didn't happen. Not gonna happen anymore.
I checked some old threads on this sub & found that some more people expected(still expecting may be) updated version of t... | 2025-12-11T19:10:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pk6392/is_mixtral_8x7b_still_worthy_alternative_models/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk6392 | false | null | t3_1pk6392 | /r/LocalLLaMA/comments/1pk6392/is_mixtral_8x7b_still_worthy_alternative_models/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '6x5vfzlehMUXBGjwAgboWXxJsgeOp1V0Is712f1K0yc', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/6x5vfzlehMUXBGjwAgboWXxJsgeOp1V0Is712f1K0yc.png?width=108&crop=smart&auto=webp&s=4af6294df82e800e3e738f6bbb2a011f3eddc1d0', 'width': 108}, {'height': 116, 'url': 'h... |
[Aiuto] Vorrei creare una sorta di “Warp AI” personalizzato che esegue comandi sul mio Mac, ma sono alle prime armi | 0 | Ciao a tutti
premessa: sono abbastanza nuovo sia nel mondo dell’IA che nello sviluppo di tool un po’ avanzati, quindi scusate se userò termini imprecisi.
L’idea che ho in mente è questa:
* Vorrei creare una **web app** che espone una sorta di “intelligenza artificiale esecutrice”.
* Io scrivo un **prompt operativo... | 2025-12-11T19:07:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pk60ik/aiuto_vorrei_creare_una_sorta_di_warp_ai/ | Ok-Willingness-3613 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk60ik | false | null | t3_1pk60ik | /r/LocalLLaMA/comments/1pk60ik/aiuto_vorrei_creare_una_sorta_di_warp_ai/ | false | false | self | 0 | null |
need pc build advice | 2 | I want to fine tune an llm to help me with financial statements automation. If i understand correctly it will be better to fine tune a 7b model instead of using larger cloud based ones since the statements comes in a variety of formats and isnt written in english. I am seeing that the meta for price/performance in here... | 2025-12-11T18:56:53 | https://www.reddit.com/r/LocalLLaMA/comments/1pk5py5/need_pc_build_advice/ | Internal-War-6547 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk5py5 | false | null | t3_1pk5py5 | /r/LocalLLaMA/comments/1pk5py5/need_pc_build_advice/ | false | false | self | 2 | null |
Can you run a 3090 + 2x v100 (32gb PCIe) on a regular motherboard? (i7 CPU) | 1 | I am looking for “cheap” ways to run bigger models locally, for casual use and learning — chat, code, agents, etc. for 1 user only (me).
Is the mix of 2x v100 ePCI with a 3090 worth it? — specifically on windows/docker based setups?
The v100 is an old card, but I assume it still runs faster for LLMs than my i9, no?
| 2025-12-11T18:40:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pk5ajt/can_you_run_a_3090_2x_v100_32gb_pcie_on_a_regular/ | liviuberechet | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk5ajt | false | null | t3_1pk5ajt | /r/LocalLLaMA/comments/1pk5ajt/can_you_run_a_3090_2x_v100_32gb_pcie_on_a_regular/ | false | false | self | 1 | null |
Official Release: GPT 5.2 | 0 | ERROR: type should be string, got "https://openai.com/index/introducing-gpt-5-2/\n\nSWE-bench Verified: 80.0%\n\nFrontierMath: 40.3%\n" | 2025-12-11T18:21:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pk4t78/official_release_gpt_52/ | policyweb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk4t78 | false | null | t3_1pk4t78 | /r/LocalLLaMA/comments/1pk4t78/official_release_gpt_52/ | false | false | self | 0 | null |
GPT-5.2 | 0 | 2025-12-11T18:16:30 | https://platform.openai.com/docs/models/gpt-5.2 | taesiri | platform.openai.com | 1970-01-01T00:00:00 | 0 | {} | 1pk4og8 | false | null | t3_1pk4og8 | /r/LocalLLaMA/comments/1pk4og8/gpt52/ | false | false | default | 0 | null | |
235 contributors from around the world to gather one of the largest robotics dataset (46 different robots - 250 hours - 26M frames) | 35 | Link to the dataset: [https://huggingface.co/datasets/HuggingFaceVLA/community\_dataset\_v3](https://huggingface.co/datasets/HuggingFaceVLA/community_dataset_v3) | 2025-12-11T18:13:38 | Wide-Screen-4632 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pk4lrc | false | null | t3_1pk4lrc | /r/LocalLLaMA/comments/1pk4lrc/235_contributors_from_around_the_world_to_gather/ | false | false | 35 | {'enabled': True, 'images': [{'id': 'lQZR15sbH5Z6tWPtCgDXTVSYWD8GWJ0eAKdZM0Hz6hM', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/b7fxmkoi8m6g1.png?width=108&crop=smart&auto=webp&s=a4e5a0e6673470a631ed5062cd7bf3460a59c4ca', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/b7fxmkoi8m6g1.png... | ||
Updates to official SWE-bench leaderboard: Kimi K2 Thinking top of open-source | 52 | Hi all, thanks for your suggestions of what models to evaluate! Still working on some, but we've just added Kimi K2 thinking and the two new mistral models. Turns out Kimi K2 Thinking takes the top, surpassing minimax by a few 2.4%pts (that's 12 task instances). The devstral models fall in the middle, but they are curr... | 2025-12-11T18:05:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pk4e27/updates_to_official_swebench_leaderboard_kimi_k2/ | klieret | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk4e27 | false | null | t3_1pk4e27 | /r/LocalLLaMA/comments/1pk4e27/updates_to_official_swebench_leaderboard_kimi_k2/ | false | false | 52 | null | |
Multitrillion param open weight models are likely coming next year from Deepseek and/or another company like Moonshot AI unless they develop a new architecture | 0 | They just allowed Chinese companies to buy h200s... THEy are gonna gobble up the h200s for training... In fact, 10,000 h200s(466mil usd) is enough to train a **6.08T 190B** Active Parameter model in 2 months on 60T tokens, or alternatively you can train a 3T 95B active model on 120T tokens( could be 7-15% more if t... | 2025-12-11T17:50:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pk3zwb/multitrillion_param_open_weight_models_are_likely/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk3zwb | false | null | t3_1pk3zwb | /r/LocalLLaMA/comments/1pk3zwb/multitrillion_param_open_weight_models_are_likely/ | false | false | self | 0 | null |
Microsoft analyzed 37.5 million AI conversations in 2025. | 73 | Microsoft just released their "Copilot Usage Report 2025," analyzing de-identified data to see how people actually use AI in their daily lives. The results are surprisingly human.
Here are the most interesting graphs and takeaways from the report:
1. The "Work Hard, Play Hard" Split
People have distinct modes for the... | 2025-12-11T17:50:31 | https://www.reddit.com/gallery/1pk3znw | Karam1234098 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pk3znw | false | null | t3_1pk3znw | /r/LocalLLaMA/comments/1pk3znw/microsoft_analyzed_375_million_ai_conversations/ | false | false | 73 | null | |
Dude, Where's My GGUF? - For some models | 24 | From last 3 months. Just sharing models' threads from this sub. I see tickets/PR(llama.cpp support queue) for few models.
I didn't include non-commercial licensed models like Apple's.
[NousResearch/nomos-1](https://www.reddit.com/r/LocalLLaMA/comments/1pj343j/nous_research_just_open_source_nomos_1_a/)
[CycleCoreTech... | 2025-12-11T17:39:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pk3pgk/dude_wheres_my_gguf_for_some_models/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk3pgk | false | null | t3_1pk3pgk | /r/LocalLLaMA/comments/1pk3pgk/dude_wheres_my_gguf_for_some_models/ | false | false | self | 24 | null |
Shisa V2.1: Improved Japanese (JA/EN) Models (1.2B-70B) | 60 | We're celebrating the 2 year anniversary of our original [Shisa V1](https://www.reddit.com/r/LocalLLaMA/comments/18cwh4n/shisa_7b_a_new_jaen_bilingual_model_based_on/) with an updated set of [Shisa V2.1](https://huggingface.co/collections/shisa-ai/shisa-v21) JA/EN bilingual models.
Shisa V2.1 introduces new and improv... | 2025-12-11T17:25:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pk3cky/shisa_v21_improved_japanese_jaen_models_12b70b/ | randomfoo2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk3cky | false | null | t3_1pk3cky | /r/LocalLLaMA/comments/1pk3cky/shisa_v21_improved_japanese_jaen_models_12b70b/ | false | false | self | 60 | {'enabled': False, 'images': [{'id': 'lIEwwaGEjJw7xW3xUScXagcAifdLahxdcQ12rZqZd7A', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/lIEwwaGEjJw7xW3xUScXagcAifdLahxdcQ12rZqZd7A.png?width=108&crop=smart&auto=webp&s=1e3da62cefc4197f36bde679fa2a73f92c3c00bf', 'width': 108}, {'height': 116, 'url': 'h... |
w6800 32GB for $500. Thoughts? | 4 | One showed up in my area on Facebook Marketplace.
I currently use an Rx 6800 16GB and an generally satisfied with the speed of 512GB/s VRAM, I just want more of it. Adding this would give me a 48GB pool.
As an alternative to wrangling an older Mi50x 32GB card with external cooling, do you think this is a decent buy? | 2025-12-11T17:25:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pk3bve/w6800_32gb_for_500_thoughts/ | EmPips | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk3bve | false | null | t3_1pk3bve | /r/LocalLLaMA/comments/1pk3bve/w6800_32gb_for_500_thoughts/ | false | false | self | 4 | null |
Why do I feel like LLMs in general, both local and cloud, try to do too much at once and that's why they make a lot of mistakes? | 25 | LLMs are essentially chatty encyclopedias but the way their responses are trained makes me feel like they're stretching themselves too thin, like they're trying *too* hard to be helpful.
For example, if you have something like gpt-oss-120b running locally and you ask it how to debug an issue with your script, it trie... | 2025-12-11T17:00:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pk2okg/why_do_i_feel_like_llms_in_general_both_local_and/ | swagonflyyyy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk2okg | false | null | t3_1pk2okg | /r/LocalLLaMA/comments/1pk2okg/why_do_i_feel_like_llms_in_general_both_local_and/ | false | false | self | 25 | null |
Is IQ4_XS closer to Q4 or Q3 in terms of quality? | 34 | Title. There are a very *very* old threads that don't quite come to a consensus on this.
Assume that everything is loaded into VRAM and no layers are offloaded to CPU+system memory.
Wondering what your experiences have been? | 2025-12-11T16:33:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pk1zpq/is_iq4_xs_closer_to_q4_or_q3_in_terms_of_quality/ | ForsookComparison | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk1zpq | false | null | t3_1pk1zpq | /r/LocalLLaMA/comments/1pk1zpq/is_iq4_xs_closer_to_q4_or_q3_in_terms_of_quality/ | false | false | self | 34 | null |
SOLVE_TRI extension to more dimensions by pwilkin · Pull Request #17793 · ggml-org/llama.cpp | 38 | before:
jacek@AI-SuperComputer:~$ /home/jacek/git/llama.cpp/build_2025.12.11/bin/llama-bench -m /mnt/models2/Qwen_Qwen3-Next-80B-A3B-Instruct-Q6_K_L-00001-of-00002.gguf
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 3 CUDA devices:
Devi... | 2025-12-11T16:32:05 | https://github.com/ggml-org/llama.cpp/pull/17793 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pk1yih | false | null | t3_1pk1yih | /r/LocalLLaMA/comments/1pk1yih/solve_tri_extension_to_more_dimensions_by_pwilkin/ | false | false | default | 38 | {'enabled': False, 'images': [{'id': 'mNzRlPgkKLb5qvqWrnpnvuvOayD0W4Jv9VgNz7gUwSE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/mNzRlPgkKLb5qvqWrnpnvuvOayD0W4Jv9VgNz7gUwSE.png?width=108&crop=smart&auto=webp&s=e2ec33bc6e8c90e50ea0935cc167f54768847828', 'width': 108}, {'height': 108, 'url': 'h... |
SOLVE_TRI extension to more dimensions by pwilkin · Pull Request #17793 · ggml-org/llama.cpp | 1 | [removed] | 2025-12-11T16:28:59 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1pk1vgu | false | null | t3_1pk1vgu | /r/LocalLLaMA/comments/1pk1vgu/solve_tri_extension_to_more_dimensions_by_pwilkin/ | false | false | default | 1 | null | ||
Short Open Source Research Collaborations | 0 | I'm starting some short collabs on specific research projects where:
\- I’ll provide compute, if needed
\- Work will be done in a public GitHub repo, Apache-2 licensed
\- This isn’t hiring or paid work
Initial projects:
\- NanoChat but with a recursive transformer
\- VARC but dropping task embeddings
\- Gather/p... | 2025-12-11T16:23:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pk1qaa/short_open_source_research_collaborations/ | TrelisResearch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk1qaa | false | null | t3_1pk1qaa | /r/LocalLLaMA/comments/1pk1qaa/short_open_source_research_collaborations/ | false | false | self | 0 | null |
Day 4: 21 Days of Building a Small Language Model:Understanding GPU | 4 | If you're training Large or Small language model, you've probably heard that GPUs are essential. But what exactly is a GPU, and why does it matter for training language models? In this blog, we'll explore GPU fundamentals, architecture, memory management, and common issues you'll encounter during training.
# What is a... | 2025-12-11T16:14:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pk1hyp/day_4_21_days_of_building_a_small_language/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk1hyp | false | null | t3_1pk1hyp | /r/LocalLLaMA/comments/1pk1hyp/day_4_21_days_of_building_a_small_language/ | false | false | 4 | null | |
Built a productivity app that uses Groq/Llama 3 70b for agentic tasks (File organizing, Deep Research). Open Source. | 2 | *Processing img cl1zkhoxkl6g1...*
Wanted to share a project I've been working on. It’s an Electron/React workspace that integrates LLMs for actual agentic workflows, not just chatting.
I’m using openai/gpt-oss-120b (via Groq) for the reasoning capabilities.
**What it does with the LLM:**
* **Tool Use:** The AI o... | 2025-12-11T15:59:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pk13i0/built_a_productivity_app_that_uses_groqllama_3/ | MammothEar1626 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk13i0 | false | null | t3_1pk13i0 | /r/LocalLLaMA/comments/1pk13i0/built_a_productivity_app_that_uses_groqllama_3/ | false | false | 2 | null | |
How do you handle synthetic data generation for training? | 0 | Building a tool for generating synthetic training data (conversations, text, etc.) and curious how people approach this today. - Are you using LLMs to generate training data? - What's the most annoying part of the workflow? - What would make synthetic data actually usable for you? Not selling anything, just trying to u... | 2025-12-11T15:53:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pk0xys/how_do_you_handle_synthetic_data_generation_for/ | Ok-Lobster9028 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk0xys | false | null | t3_1pk0xys | /r/LocalLLaMA/comments/1pk0xys/how_do_you_handle_synthetic_data_generation_for/ | false | false | self | 0 | null |
Built a productivity app that uses Groq for agentic tasks (File organizing, Deep Research). Open Source. | 1 | 2025-12-11T15:52:54 | https://www.reddit.com/gallery/1pk0xdp | MammothEar1626 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pk0xdp | false | null | t3_1pk0xdp | /r/LocalLLaMA/comments/1pk0xdp/built_a_productivity_app_that_uses_groq_for/ | false | false | default | 1 | null | |
New in llama.cpp: Live Model Switching | 450 | 2025-12-11T15:49:43 | https://huggingface.co/blog/ggml-org/model-management-in-llamacpp | paf1138 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pk0ubn | false | null | t3_1pk0ubn | /r/LocalLLaMA/comments/1pk0ubn/new_in_llamacpp_live_model_switching/ | false | false | default | 450 | {'enabled': False, 'images': [{'id': '8Hy799ws5wvJKYaRb__KN0TGXYxiPxKG6PuG-1SlIWg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/8Hy799ws5wvJKYaRb__KN0TGXYxiPxKG6PuG-1SlIWg.png?width=108&crop=smart&auto=webp&s=df0ca42284db128adbcc691988a242bcf784ab60', 'width': 108}, {'height': 117, 'url': 'h... | |
Currently what is the safest interface to run llm locally | 0 | performance are secondary I need to be able to run llm on my work environment but I need it to be safe. | 2025-12-11T15:35:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pk0hs4/currently_what_is_the_safest_interface_to_run_llm/ | ResponsibleTruck4717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pk0hs4 | false | null | t3_1pk0hs4 | /r/LocalLLaMA/comments/1pk0hs4/currently_what_is_the_safest_interface_to_run_llm/ | false | false | self | 0 | null |
[GPULlama3.java release v0.3.0] Pure Java LLaMA Transformers Compilied to PTX/OpenCL integrated with Quarkus & LangChain4j | 1 | 2025-12-11T15:18:27 | https://v.redd.it/c4jp7o9jdl6g1 | mikebmx1 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pk02go | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/c4jp7o9jdl6g1/DASHPlaylist.mpd?a=1768058326%2CZDVkN2NjMzY0NWRjNjAzOTk1NDczMjRmNzgyODNhZTI0NzY1ZjM0MmM1OWIyMmNjMjMxMjVkYTc2MzE4NzI4Yw%3D%3D&v=1&f=sd', 'duration': 17, 'fallback_url': 'https://v.redd.it/c4jp7o9jdl6g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pk02go | /r/LocalLLaMA/comments/1pk02go/gpullama3java_release_v030_pure_java_llama/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'aW1qbnB1OWpkbDZnMUQWyw-NJl8-1lSdZFLuBV5asYieetqWX6lQO0rLxIpr', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/aW1qbnB1OWpkbDZnMUQWyw-NJl8-1lSdZFLuBV5asYieetqWX6lQO0rLxIpr.png?width=108&crop=smart&format=pjpg&auto=webp&s=68a755ae46f97722e953e180b19adf9d17c75... | ||
If you had to pick just one model family’s finetunes for RP under 30B, which would you pick? | 0 | Mostly trying to see which base model is smartest/most naturally creative, as I’m getting into training my models :D | 2025-12-11T15:13:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pjzxre/if_you_had_to_pick_just_one_model_familys/ | Borkato | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjzxre | false | null | t3_1pjzxre | /r/LocalLLaMA/comments/1pjzxre/if_you_had_to_pick_just_one_model_familys/ | false | false | self | 0 | null |
Open models for visual explanations in education and deck cards | 0 | Does anyone have any good recommendations or experiences for open models/diffusion models which can produce helpful visual explanations of concepts in an educational setting?
A bit like notebooklm from Google but local.
And if they don't exist, suggestions for a training pipeline and which models could be suited for... | 2025-12-11T15:01:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pjznmt/open_models_for_visual_explanations_in_education/ | fiery_prometheus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjznmt | false | null | t3_1pjznmt | /r/LocalLLaMA/comments/1pjznmt/open_models_for_visual_explanations_in_education/ | false | false | self | 0 | null |
Breakthrough: Running 256K Context LLMs on 16GB GPUs with Hybrid CPU-GPU Offloading | 0 | # Title: Breakthrough: Running 256K Context LLMs on 16GB GPUs with Hybrid CPU-GPU Offloading
Hey and !
I've been working on optimizing LLM inference for long contexts on consumer hardware, and I'm excited to share a breakthrough that enables
**256K token contexts**
on modest 1... | 2025-12-11T14:47:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pjzbd4/breakthrough_running_256k_context_llms_on_16gb/ | bk888888888 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjzbd4 | false | null | t3_1pjzbd4 | /r/LocalLLaMA/comments/1pjzbd4/breakthrough_running_256k_context_llms_on_16gb/ | false | false | self | 0 | null |
Thoughts on this? Tiiny AI | 0 | 2025-12-11T14:03:46 | https://wccftech.com/meet-the-worlds-smallest-supercomputer-a-machine-bold-enough-to-run-120b-ai-models/ | qeinca | wccftech.com | 1970-01-01T00:00:00 | 0 | {} | 1pjyahs | false | null | t3_1pjyahs | /r/LocalLLaMA/comments/1pjyahs/thoughts_on_this_tiiny_ai/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'IffmBHqiSu5XoQIpo6IthdP8iQOioMmit6kF5v2qJA4', 'resolutions': [{'height': 79, 'url': 'https://external-preview.redd.it/IffmBHqiSu5XoQIpo6IthdP8iQOioMmit6kF5v2qJA4.jpeg?width=108&crop=smart&auto=webp&s=e5d5a33cf6437307aba7a2988b683d655ccfbaa7', 'width': 108}, {'height': 159, 'url': '... | |
There were 14 different token optimization methods, so I created another one [minemizer] (and I have some benchmarks to almost prove it is the best one) | 4 | I'll save your human tokens, link is here: https://github.com/ashirviskas/minemizer
tl;dr: csv-like, but supports sparse and nested data, optimized for token usage. Adds space before values so words are less split between tokens, which leads to better LLM scores.
Example with **flat data**:
from minemizer import... | 2025-12-11T14:01:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pjy89q/there_were_14_different_token_optimization/ | ashirviskas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjy89q | false | null | t3_1pjy89q | /r/LocalLLaMA/comments/1pjy89q/there_were_14_different_token_optimization/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '2zuG_5fdxm_elqkD2y-Oa6pUlGwwoNRMc_l_HWQ7azI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/2zuG_5fdxm_elqkD2y-Oa6pUlGwwoNRMc_l_HWQ7azI.png?width=108&crop=smart&auto=webp&s=ba115a1fa3e70f0acf49916f41c85240898b798d', 'width': 108}, {'height': 108, 'url': 'h... |
I have bult a Local AI Server, now what? | 0 | Good morning,
I have bult a server with 2 NVIDA Cards with 5GGB of VRAM (3090 and 5090) and 128 GB Of RAM on motherboard.
It works, I can run GPT-OSS-120B and 70B models on it locally, but I dont know how to justify that machine?
I was thinking of learning AI Engineering and Vibecoding, but this local build ca... | 2025-12-11T13:43:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pjxu8p/i_have_bult_a_local_ai_server_now_what/ | Puzzled_Relation946 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjxu8p | false | null | t3_1pjxu8p | /r/LocalLLaMA/comments/1pjxu8p/i_have_bult_a_local_ai_server_now_what/ | false | false | self | 0 | null |
[Bug Report] Reproducible Cross-Layer Deadlock in Claude 4.5: Zero Tool Calls Despite Full Task Understanding (w/ Meta-Diagnostics) | 0 | 2025-12-11T13:39:50 | https://www.reddit.com/r/SemanticOS/comments/1pjxc4u/bug_report_claude_sonnet_45_60minute_crosslayer/ntgpaae/ | Glass-Summer-9031 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pjxrgk | false | null | t3_1pjxrgk | /r/LocalLLaMA/comments/1pjxrgk/bug_report_reproducible_crosslayer_deadlock_in/ | false | false | default | 0 | null | |
I am building deterministic llm, thoughts? | 0 | I have started to work on this custom llm and quite excited. Goal is to make a llm+rag system with over 99% deterministic responses at agentic work and json on similar inputs. Using an open source model, will customize majority of probabilistic factors, like, softmax, kernel, etc. Then will build and connect it to a cu... | 2025-12-11T13:36:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pjxook/i_am_building_deterministic_llm_thoughts/ | Direct_Head312 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjxook | false | null | t3_1pjxook | /r/LocalLLaMA/comments/1pjxook/i_am_building_deterministic_llm_thoughts/ | false | false | self | 0 | null |
Small size coding models that I tested on 2x3090 setup. | 3 | Just share my experience with small size coding models, that I tested on 2x3090 setup **using llama.cpp server web GUI** \- not to be confused with coding API. Model names given as it was downloaded from HF.
Prompt: It was request to compose relatively complex python application for Linux. I'm sorry, but dont show my... | 2025-12-11T13:32:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pjxlwm/small_size_coding_models_that_i_tested_on_2x3090/ | Mx4n1c41_s702y73ll3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjxlwm | false | null | t3_1pjxlwm | /r/LocalLLaMA/comments/1pjxlwm/small_size_coding_models_that_i_tested_on_2x3090/ | false | false | self | 3 | null |
Quantization and math reasoning | 0 | DeepSeek paper claims that a variation of their model, DeepSeek Speciale, achieves gold medal performance at IMO/IOI. To be absolutely sure, one might have to benchmark FP8-quantized version and the full/unquantized version.
However, without this, how much performance degradation at these contests might one expect wh... | 2025-12-11T13:31:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pjxkq5/quantization_and_math_reasoning/ | No-Plan-3868 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjxkq5 | false | null | t3_1pjxkq5 | /r/LocalLLaMA/comments/1pjxkq5/quantization_and_math_reasoning/ | false | false | self | 0 | null |
This is how I understand how ai models work - correct anything. | 0 | Note: all individual characters written here were written on my keyboard (except for: "-3.40282347E+38 to -1.17549435E-38" - i pasted that).
Step by step how a software interacts with ai-model:
\-> <user input>
\-> software transforms text to tokens forming 1'st token context
\-> soft. calls for \*.gguf(ai mo... | 2025-12-11T13:01:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pjwy8p/this_is_how_i_understand_how_ai_models_work/ | Mental-Illustrator31 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjwy8p | false | null | t3_1pjwy8p | /r/LocalLLaMA/comments/1pjwy8p/this_is_how_i_understand_how_ai_models_work/ | false | false | self | 0 | null |
Local LLM that generates images and videos | 0 | Hi everyone, I’m new to this topic.
Is there an LLM that I can run locally that is able to generate images or even videos? (I know it requires a lot of computing power and I can’t expect decent results).
I’m looking to do a personal experiment and for my knowledge!
Thank you! ☺️ | 2025-12-11T12:52:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pjwrdp/local_llm_that_generates_images_and_videos/ | tombino104 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjwrdp | false | null | t3_1pjwrdp | /r/LocalLLaMA/comments/1pjwrdp/local_llm_that_generates_images_and_videos/ | false | false | self | 0 | null |
Are LLMs making us sloppy? | 6 | Normally when I write a comment, an e-mail, a chat message, a text message, or whatever, I always make an effort to be as clear as possible with proper spelling, grammar, etc. Part of the reason is that I feel I'm showing respect to the person who is reading it, by minimizing his cognitive burden to comprehend what I w... | 2025-12-11T12:48:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pjwojr/are_llms_making_us_sloppy/ | acidrainery | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjwojr | false | null | t3_1pjwojr | /r/LocalLLaMA/comments/1pjwojr/are_llms_making_us_sloppy/ | false | false | self | 6 | null |
What is the security risk of being able to have Custom GPTs or being able to save system prompts in the form of “Models” on Open-WebUI, or Gems on Gemini? | 0 | I have been on several platforms where these features are disabled. I understand why they might be disabled in ChatGPT and Enterprise Gemini for it being a “premium” feature. But why go through the effort in disabling it for Open-WebUI? I mean even going as far as disabling the settings feature to set a system prompt a... | 2025-12-11T12:34:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pjwf1i/what_is_the_security_risk_of_being_able_to_have/ | aaronr_90 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjwf1i | false | null | t3_1pjwf1i | /r/LocalLLaMA/comments/1pjwf1i/what_is_the_security_risk_of_being_able_to_have/ | false | false | self | 0 | null |
Mistral’s Vibe CLI now supports a 200K token context window (previously 100K) | 425 | 2025-12-11T12:23:44 | https://v.redd.it/4nxnq6w1ik6g1 | Dear-Success-1441 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pjw7rj | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/4nxnq6w1ik6g1/DASHPlaylist.mpd?a=1768047839%2CMzZlMzQyM2M3ZDJmMTM5NGJiZGQ3MzVhY2U4MjRkNjAzMGUzNTI2OWExODVhN2JlMTZkZWQ3NzRjN2M5NmI1MA%3D%3D&v=1&f=sd', 'duration': 16, 'fallback_url': 'https://v.redd.it/4nxnq6w1ik6g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pjw7rj | /r/LocalLLaMA/comments/1pjw7rj/mistrals_vibe_cli_now_supports_a_200k_token/ | false | false | 425 | {'enabled': False, 'images': [{'id': 'ZnNsb2d0dzFpazZnMZt0kKC274AvCvOpM9k0UQCIyB1BQvPjsN5T3o1kO8eQ', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/ZnNsb2d0dzFpazZnMZt0kKC274AvCvOpM9k0UQCIyB1BQvPjsN5T3o1kO8eQ.png?width=108&crop=smart&format=pjpg&auto=webp&s=5c07f43fdc271e00835d0f1cb9d1028ffe472... | ||
Local Librarian AI | 2 | Librarian AI assistant Victor - set up to help navigate a public library collection (books, DVDs, video games, online resources, etc...), provide local resources for guidance, and answer patron's general questions. Created with intention to work offline and without need for beefy PC for rural libraries in US. I wasn't ... | 2025-12-11T12:07:50 | https://github.com/LibLadyLynn/victor-library-assistant | Fit_Beautiful_1869 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pjvx2g | false | null | t3_1pjvx2g | /r/LocalLLaMA/comments/1pjvx2g/local_librarian_ai/ | false | false | default | 2 | null |
Leaked footage from Meta's post-training strategy meeting. | 306 | 2025-12-11T12:02:11 | YouCanMake1t | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pjvtgn | false | null | t3_1pjvtgn | /r/LocalLLaMA/comments/1pjvtgn/leaked_footage_from_metas_posttraining_strategy/ | false | false | default | 306 | {'enabled': True, 'images': [{'id': '2cbgowoj0i6g1', 'resolutions': [{'height': 141, 'url': 'https://preview.redd.it/2cbgowoj0i6g1.png?width=108&crop=smart&auto=webp&s=75831f1baad83a11263497ebd49036506d6432b6', 'width': 108}, {'height': 282, 'url': 'https://preview.redd.it/2cbgowoj0i6g1.png?width=216&crop=smart&auto=we... | ||
Intel LLM Scaler - Beta 1.2 Released | 3 | 2025-12-11T12:01:21 | https://github.com/intel/llm-scaler | reps_up | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pjvsuh | false | null | t3_1pjvsuh | /r/LocalLLaMA/comments/1pjvsuh/intel_llm_scaler_beta_12_released/ | false | false | default | 3 | {'enabled': False, 'images': [{'id': 'vhuTxDv83M0GG6AS4mtgPflyCsOazkfxKOFPZUP-RxY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vhuTxDv83M0GG6AS4mtgPflyCsOazkfxKOFPZUP-RxY.png?width=108&crop=smart&auto=webp&s=ff1dc0b40f8a06200dae108d0b2765d61e292977', 'width': 108}, {'height': 108, 'url': 'h... | |
Best approach for building fast, citation-capable retrieval system with ton of author's books/lectures? | 1 | I've converted several books and lecture transcriptions by a specific author from PDF to markdown. I want to build an LLM chat tool where I can ask questions and get fast, accurate answers with exact page/source citations.
What's the best technical approach? I've heard terms like RAG, vector search, and embeddings but... | 2025-12-11T11:43:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pjvhq5/best_approach_for_building_fast_citationcapable/ | TO-222 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjvhq5 | false | null | t3_1pjvhq5 | /r/LocalLLaMA/comments/1pjvhq5/best_approach_for_building_fast_citationcapable/ | false | false | self | 1 | null |
I just released TOONIFY: a universal serializer that cuts LLM token usage by 30-60% compared to JSON | 0 | Hello everyone,
I’ve just released **TOONIFY**, a new library that converts JSON, YAML, XML, and CSV into the compact TOON format. It’s designed specifically to reduce token usage when sending structured data to LLMs, while providing a familiar, predictable structure.
GitHub: [https://github.com/AndreaIannoli/TOONIFY... | 2025-12-11T11:43:56 | https://www.reddit.com/r/LocalLLaMA/comments/1pjvhq1/i_just_released_toonify_a_universal_serializer/ | MountainCut7218 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjvhq1 | false | null | t3_1pjvhq1 | /r/LocalLLaMA/comments/1pjvhq1/i_just_released_toonify_a_universal_serializer/ | false | false | self | 0 | null |
How to properly run gpt-oss-120b on multiple GPUs with llama.cpp? | 19 | Hello, I need some advice on how to get the gpt-oss-120b running optimally on multiple GPUs setup.
The issue is that in my case, the model is not getting automagically distributed across two GPUs.
My setup is an old Dell T7910 with dual E5-2673 v4 80cores total, 256gb ddr4 and dual RTX 3090. Posted photos some time ... | 2025-12-11T11:24:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pjv5wz/how_to_properly_run_gptoss120b_on_multiple_gpus/ | ChopSticksPlease | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjv5wz | false | null | t3_1pjv5wz | /r/LocalLLaMA/comments/1pjv5wz/how_to_properly_run_gptoss120b_on_multiple_gpus/ | false | false | self | 19 | null |
5070 + 3070 + 1070 multi gpu/pc setup help | 3 | hello guys,
i've got three pc with a 64 gb 32 and 16gb of ram and a 5070 12gb , 3070 8gb and a 1070 8gb. i would like to use the 3070 in the first pc but i don't know the llama server comand to put two vulkan or more in the same running.
Can somebody give me an help?
the second question or way to do (and is not... | 2025-12-11T10:47:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pjukd4/5070_3070_1070_multi_gpupc_setup_help/ | Flimsy_Leadership_81 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjukd4 | false | null | t3_1pjukd4 | /r/LocalLLaMA/comments/1pjukd4/5070_3070_1070_multi_gpupc_setup_help/ | false | false | self | 3 | null |
RAG Paper 25.12.10 | 0 | 1. [RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning](http://arxiv.org/abs/2512.09487v1)
2. [Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANN](http://arxiv.org/abs/2512.09331v1)
**Collected by OpenBMB, transferred by** [**RagView.ai**]... | 2025-12-11T10:45:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pjuj3u/rag_paper_251210/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjuj3u | false | null | t3_1pjuj3u | /r/LocalLLaMA/comments/1pjuj3u/rag_paper_251210/ | false | false | self | 0 | null |
RAG Paper 25.12.09 | 0 | 1. [Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders](http://arxiv.org/abs/2512.08892v1)
2. [An Agentic AI System for Multi-Framework Communication Coding](http://arxiv.org/abs/2512.08659v1)
3. [HealthcareNLP: where are we and what is next?](http://arxiv.org/abs/2512.08617v1)
4. [Autonomous Issue... | 2025-12-11T10:42:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pjuhhi/rag_paper_251209/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjuhhi | false | null | t3_1pjuhhi | /r/LocalLLaMA/comments/1pjuhhi/rag_paper_251209/ | false | false | self | 0 | null |
RAG Paper 25.12.07 | 0 | 1. [SPAD: Seven-Source Token Probability Attribution with Syntactic Aggregation for Detecting Hallucinations in RAG](http://arxiv.org/abs/2512.07515v1)
2. [Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation](http://arxiv.org/abs/2512.07360v1)
3. [F... | 2025-12-11T10:40:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pjugnp/rag_paper_251207/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjugnp | false | null | t3_1pjugnp | /r/LocalLLaMA/comments/1pjugnp/rag_paper_251207/ | false | false | self | 0 | null |
Lost between LiveKit Cloud vs Vapi vs Retell for a voice AI agent (~3,000 min/month) – real costs & recommendations in 2025? | 0 | Hey everyone,
I’m building a customer-support voice AI agent (inbound + some outbound, US local numbers, basic RAG, GPT-4o mini + ElevenLabs/Cartesia quality voice). Expected usage: \~3,000 minutes per month to start.
My current cost estimates (everything included: LLM, TTS, STT, telephony, concurrency, phone number)... | 2025-12-11T10:38:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pjufes/lost_between_livekit_cloud_vs_vapi_vs_retell_for/ | SignatureHuman8057 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjufes | false | null | t3_1pjufes | /r/LocalLLaMA/comments/1pjufes/lost_between_livekit_cloud_vs_vapi_vs_retell_for/ | false | false | self | 0 | null |
New era for fine-tuning is on the horizon | 40 | A paper released at [https://arxiv.org/abs/2512.05117](https://arxiv.org/abs/2512.05117) , no code yet
Authors claim you can take a bunch of fine-tuned models of the same architecture and create new task/domain specific variants by just setting a few dozens numbers on each of the internal layer.
You'd have the perfo... | 2025-12-11T10:28:15 | https://www.reddit.com/r/LocalLLaMA/comments/1pju9ob/new_era_for_finetuning_is_on_the_horizon/ | uhuge | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pju9ob | false | null | t3_1pju9ob | /r/LocalLLaMA/comments/1pju9ob/new_era_for_finetuning_is_on_the_horizon/ | false | false | self | 40 | null |
Computer use agent for Qwen3-VL on Ollama | 2 | I'm running a MacBook Pro M4 Max 64 GB with Tahoe 26.1, and an NVIDIA GeForce RTX 4070 Ti SUPER 16 GB in a Windows 11 desktop. I use Ollama on both systems, but could also use LM Studio or AnythingLLM.
I'm interested in using a Computer Use Agent (CUA), generally speaking, to automate native desktop applications, webs... | 2025-12-11T10:20:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pju57d/computer_use_agent_for_qwen3vl_on_ollama/ | 960be6dde311 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pju57d | false | null | t3_1pju57d | /r/LocalLLaMA/comments/1pju57d/computer_use_agent_for_qwen3vl_on_ollama/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'krjt_5uhqcaDfYjfO7lkezThehav9cAIRJgcK-OKAmM', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/krjt_5uhqcaDfYjfO7lkezThehav9cAIRJgcK-OKAmM.png?width=108&crop=smart&auto=webp&s=3dc759de0e8fa36d241c5728d41ee3cf022cab96', 'width': 108}, {'height': 113, 'url': 'h... |
GLM4.6 + Claude Code CLI - Solving thinking and multimodal challenges | 15 | Hey everyone, wanted to share a solution for using GLM4.6 models with Claude Code CLI that addresses two key challenges:
1. Deep thinking activation: GLM4.6 activates its deep thinking capabilities more reliably through OpenAI-compatible APIs vs Anthropic-compatible ones. The proxy converts requests and injects wake w... | 2025-12-11T10:12:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pju0v4/glm46_claude_code_cli_solving_thinking_and/ | Infinite_Activity_60 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pju0v4 | false | null | t3_1pju0v4 | /r/LocalLLaMA/comments/1pju0v4/glm46_claude_code_cli_solving_thinking_and/ | false | false | self | 15 | {'enabled': False, 'images': [{'id': 'Nz7WYWpmKx4xaH71Nvr4C13Lv5kg9_k9guDrWRAEhp8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Nz7WYWpmKx4xaH71Nvr4C13Lv5kg9_k9guDrWRAEhp8.png?width=108&crop=smart&auto=webp&s=b4076faf11b4909d90c4ac0a0db1e5a89b8479f2', 'width': 108}, {'height': 108, 'url': 'h... |
Using Claude Code to Fine-Tune Open Source LLMs | 0 | 2025-12-11T09:25:47 | https://huggingface.co/blog/hf-skills-training | paf1138 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pjtbfa | false | null | t3_1pjtbfa | /r/LocalLLaMA/comments/1pjtbfa/using_claude_code_to_finetune_open_source_llms/ | false | false | default | 0 | null | |
Apriel 1.6 thinker "safety" (refusal) benchmark and comparison | 10 | **tl;dr** Apriel 1.6 gives less straight up refusals than 1.5. Instead, it tends to elaborate more, while also being a *tiny* bit more permissive. It's also less likely to get stuck in infinite repetition loops than 1.5. Its not a very permissive model in general. While it does a careful bit of harmless adult content, ... | 2025-12-11T09:15:40 | https://www.reddit.com/r/LocalLLaMA/comments/1pjt62l/apriel_16_thinker_safety_refusal_benchmark_and/ | Chromix_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjt62l | false | null | t3_1pjt62l | /r/LocalLLaMA/comments/1pjt62l/apriel_16_thinker_safety_refusal_benchmark_and/ | false | false | 10 | null | |
Help | 0 | My indexTTs2 generate voice very slow like 120s plus for 20 sec voice is there any way to fix ths problem | 2025-12-11T08:57:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pjsw6m/help/ | Chemical_Painter_431 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjsw6m | false | null | t3_1pjsw6m | /r/LocalLLaMA/comments/1pjsw6m/help/ | false | false | self | 0 | null |
Run Mistral Vibe CLI with any OpenAI Compatible Server | 25 | I couldn’t find any documentation on how to configure OpenAI-compatible endpoints with Mistral Vibe-CLI, so I went down the rabbit hole and decided to share what I learned.
Once Vibe is installed, you should have a configuration file under:
`~/.vibe/config.toml`
And you can add the following configuration:
... | 2025-12-11T08:19:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pjscnj/run_mistral_vibe_cli_with_any_openai_compatible/ | Creative-Scene-6743 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjscnj | false | null | t3_1pjscnj | /r/LocalLLaMA/comments/1pjscnj/run_mistral_vibe_cli_with_any_openai_compatible/ | false | false | self | 25 | null |
Best Coding Model for my setup | 0 | Hi everyone,
I am currently building my AI Machine and I am curious which coding model I can run on it with good usability (best model)
Specs:
256GB Ram DDR4 3200Mhz
2 x RTX 3090
1 RTX 3090 currently not in the machine, could be implemented in the build if it’s worth it, grants access to better models.
| 2025-12-11T08:17:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pjsb7k/best_coding_model_for_my_setup/ | Timely_Purpose_5788 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjsb7k | false | null | t3_1pjsb7k | /r/LocalLLaMA/comments/1pjsb7k/best_coding_model_for_my_setup/ | false | false | self | 0 | null |
which gguf should I use for gpt oss 20b? unsloth or ggml-org on huggingface | 3 | help appreciated | 2025-12-11T07:43:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pjrsrz/which_gguf_should_i_use_for_gpt_oss_20b_unsloth/ | Odd-Ordinary-5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjrsrz | false | null | t3_1pjrsrz | /r/LocalLLaMA/comments/1pjrsrz/which_gguf_should_i_use_for_gpt_oss_20b_unsloth/ | false | false | self | 3 | null |
Auto-generating PDF -> Dataset (jsonl) for Qwen3:4B | 3 | Hey everyone. I have been working on a system where you can use multiple services to generate synthetic data -> validate -> export as training data (jsonl).
It's in very early stages, but I researched how Meta and big AI companies were able to train their LLMs or more accurately generate large datasets, and essenti... | 2025-12-11T07:28:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pjrkha/autogenerating_pdf_dataset_jsonl_for_qwen34b/ | exaknight21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pjrkha | false | null | t3_1pjrkha | /r/LocalLLaMA/comments/1pjrkha/autogenerating_pdf_dataset_jsonl_for_qwen34b/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'pTo6-vusqJe19SQomJr9JsYSpaOWOGicTUTkoVhHV8E', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pTo6-vusqJe19SQomJr9JsYSpaOWOGicTUTkoVhHV8E.png?width=108&crop=smart&auto=webp&s=2c324438bee251190f45c0123b0ef5f4c8044ab4', 'width': 108}, {'height': 108, 'url': 'h... |
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