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TeleChat3-105B-A4.7B-Thinking and TeleChat3-36B-Thinking | 31 | 2026-01-05T11:35:48 | https://www.reddit.com/r/LocalLLaMA/comments/1q4jf67/telechat3105ba47bthinking_and_telechat336bthinking/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4jf67 | false | null | t3_1q4jf67 | /r/LocalLLaMA/comments/1q4jf67/telechat3105ba47bthinking_and_telechat336bthinking/ | false | false | 31 | null | ||
Visualizing RAG | 6 | Just found out there are tools for visualizing postgreSQL RAG data. This is just one quick example from last Friday when I figured out how it’s done. What I find interesting is I was able to add in a feature to connect a query and map the query with the RAG data, to see exactly where it connects and diagnose if/when th... | 2026-01-05T11:32:53 | https://v.redd.it/7l7z3niaoibg1 | Fear_ltself | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4jdeb | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/7l7z3niaoibg1/DASHPlaylist.mpd?a=1770204788%2CMDA0MTVkMWJiMGY3MzBlZjllYTgzY2FkMzhkOWUwZDJiNzExYWE1YTEzZWMwZDljYmZjNDFlZTQ5NDFmODI4Mw%3D%3D&v=1&f=sd', 'duration': 11, 'fallback_url': 'https://v.redd.it/7l7z3niaoibg1/CMAF_720.mp4?source=fallback', 'ha... | t3_1q4jdeb | /r/LocalLLaMA/comments/1q4jdeb/visualizing_rag/ | false | false | 6 | {'enabled': False, 'images': [{'id': 'YmsxNnMxZWFvaWJnMV5s4EhtZ6LRSr90sO8SbOdlEZ4MwU5P3RdxGJQBGsr6', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/YmsxNnMxZWFvaWJnMV5s4EhtZ6LRSr90sO8SbOdlEZ4MwU5P3RdxGJQBGsr6.png?width=108&crop=smart&format=pjpg&auto=webp&s=efa76eb442d36473776eacb1455bd9ba3aa85... | |
What do we think about Gorgon Point (Ryzen AI 9 HX 470)? | 140 | The new APU is promised to support DDR5-6400 (102.4 GB/s) and LPDDR5X-8533 (136.5 GB/s) which should move some models that were barely usable on Strix Point to the usable territory.
However, it really seems that to utilise these capabilities, manufacturers would have to get chips that are basically inaccessible right ... | 2026-01-05T11:31:03 | Everlier | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4jc99 | false | null | t3_1q4jc99 | /r/LocalLLaMA/comments/1q4jc99/what_do_we_think_about_gorgon_point_ryzen_ai_9_hx/ | false | false | default | 140 | {'enabled': True, 'images': [{'id': '6lfowdxxnibg1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/6lfowdxxnibg1.jpeg?width=108&crop=smart&auto=webp&s=1ef9a49683084bb0bf967d8c122e95ee75de4ba8', 'width': 108}, {'height': 112, 'url': 'https://preview.redd.it/6lfowdxxnibg1.jpeg?width=216&crop=smart&auto=w... | |
Several publicly available university courses focusing on AI-Agents: | 11 | 2026-01-05T11:22:22 | https://www.reddit.com/r/LocalLLaMA/comments/1q4j6qr/several_publicly_available_university_courses/ | QuanstScientist | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4j6qr | false | null | t3_1q4j6qr | /r/LocalLLaMA/comments/1q4j6qr/several_publicly_available_university_courses/ | false | false | 11 | null | ||
[Open Source] I built an Agent that audits code like a Senior Engineer (AST-Aware + DeepSeek V3). It draws diagrams, fetches missing files JIT, and uses Hybrid Search. | 0 | 2026-01-05T11:01:30 | Few-Angle-2646 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4itd7 | false | null | t3_1q4itd7 | /r/LocalLLaMA/comments/1q4itd7/open_source_i_built_an_agent_that_audits_code/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '19jfcp6oiibg1', 'resolutions': [{'height': 53, 'url': 'https://preview.redd.it/19jfcp6oiibg1.gif?width=108&crop=smart&format=png8&s=e175da797a2d39256db819de5a7624e3ba8db30b', 'width': 108}, {'height': 106, 'url': 'https://preview.redd.it/19jfcp6oiibg1.gif?width=216&crop=smart&format... | ||
I built an open-source Agent that parses Python AST to fix RAG context fragmentation. It fetches missing files autonomously. (DeepSeek V3 + FastAPI) | 1 | 2026-01-05T11:00:23 | Few-Angle-2646 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4iskc | false | null | t3_1q4iskc | /r/LocalLLaMA/comments/1q4iskc/i_built_an_opensource_agent_that_parses_python/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'kpgv0qnfiibg1', 'resolutions': [{'height': 53, 'url': 'https://preview.redd.it/kpgv0qnfiibg1.gif?width=108&crop=smart&format=png8&s=f5ea7eb6be40cc960fbfc1605b777a5efd57de05', 'width': 108}, {'height': 106, 'url': 'https://preview.redd.it/kpgv0qnfiibg1.gif?width=216&crop=smart&format... | ||
I stress-tested Gemini 3.0 on Indian Pharma pricing. It hallucinated a ₹62 Lakh error. | 0 | I run a HITL evaluation firm for Indian Healthcare. We found that LLMs quote the MRP (₹80L) but miss the B2B PAP schemes , leading to a real cost of ₹11L. Here is the benchmark dataset if you want to test your RAG pipeline.
| 2026-01-05T10:52:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q4inq9/i_stresstested_gemini_30_on_indian_pharma_pricing/ | WillingnessSpare9707 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4inq9 | false | null | t3_1q4inq9 | /r/LocalLLaMA/comments/1q4inq9/i_stresstested_gemini_30_on_indian_pharma_pricing/ | false | false | self | 0 | null |
[Open Source] I built an Agent that audits code like a Senior Engineer (AST-Aware + DeepSeek V3). It draws diagrams, fetches missing files JIT, and uses Hybrid Search. | 1 | [removed] | 2026-01-05T10:49:31 | https://www.reddit.com/r/LocalLLaMA/comments/1q4ilp0/open_source_i_built_an_agent_that_audits_code/ | Few-Angle-2646 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4ilp0 | false | null | t3_1q4ilp0 | /r/LocalLLaMA/comments/1q4ilp0/open_source_i_built_an_agent_that_audits_code/ | false | false | self | 1 | null |
Bielik-11B-v3.0-Instruct | 61 | Bielik-11B-v3.0-Instruct is a generative text model featuring 11 billion parameters. It is an instruct fine-tuned version of the [Bielik-11B-v3-Base-20250730](https://huggingface.co/speakleash/Bielik-11B-v3-Base-20250730). Forementioned model stands as a testament to the unique collaboration between the open-science/op... | 2026-01-05T10:34:59 | https://huggingface.co/speakleash/Bielik-11B-v3.0-Instruct | jacek2023 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q4icio | false | null | t3_1q4icio | /r/LocalLLaMA/comments/1q4icio/bielik11bv30instruct/ | false | false | default | 61 | {'enabled': False, 'images': [{'id': '5cEj5o78oh6TbyHqprpd205PtMWxpwd8yMVStGNcCRo', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/5cEj5o78oh6TbyHqprpd205PtMWxpwd8yMVStGNcCRo.png?width=108&crop=smart&auto=webp&s=bbef17fa317ce6be343cdd94ed5ce874bd05641a', 'width': 108}, {'height': 116, 'url': 'h... |
Apple CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning | 31 | I have not seen any discussion about this effort so I'm posting it here.
But it looks like apple tried a new approach at RAG.
Basically they took their own attempt at linguistic compression, it can shrink documents by **32x to 64x** without losing the important details needed to answer a question.
and the novel t... | 2026-01-05T10:26:56 | https://www.reddit.com/r/LocalLLaMA/comments/1q4i7m2/apple_clara_bridging_retrieval_and_generation/ | PlasticTourist6527 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4i7m2 | false | null | t3_1q4i7m2 | /r/LocalLLaMA/comments/1q4i7m2/apple_clara_bridging_retrieval_and_generation/ | false | false | self | 31 | null |
Graph RAG Setups | 1 | Sorry to bring up RAG again LOL
Trying to do a new Graph RAG system with 7-9B LLMs, the models are not the smartest so the retrieval needs to be good
My main thinking is that Graph RAG could help by bringing up more nearby node context/knowledge that the smaller models lack
What sort of pattern do you use for graph ... | 2026-01-05T10:19:36 | https://www.reddit.com/r/LocalLLaMA/comments/1q4i36y/graph_rag_setups/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4i36y | false | null | t3_1q4i36y | /r/LocalLLaMA/comments/1q4i36y/graph_rag_setups/ | false | false | self | 1 | null |
Dual rx 9070 for LLMs? | 2 | Looking for a GPU mainly for **local Llama/LLM inference** on **Windows**. I’m trying to assess whether buying an **AMD Radeon** for local LLMs is a bad idea.
I’ve already searched the sub + GitHub issues/docs for **llama.cpp / Ollama / ROCm-HIP / DirectML**, but most threads are either Linux-focused or outdated, and ... | 2026-01-05T10:18:53 | https://www.reddit.com/r/LocalLLaMA/comments/1q4i2s4/dual_rx_9070_for_llms/ | Fast_Thing_7949 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4i2s4 | false | null | t3_1q4i2s4 | /r/LocalLLaMA/comments/1q4i2s4/dual_rx_9070_for_llms/ | false | false | self | 2 | null |
Benchmarking 23 LLMs on Nonogram (Logic Puzzle) Solving Performance | 52 | Over the Christmas holidays I went down a rabbit hole and built a benchmark to test how well large language models can solve nonograms (grid-based logic puzzles).
The benchmark evaluates 23 LLMs across increasing puzzle sizes (5x5, 10x10, 15x15).
A few interesting observations:
- Performance drops sharply as puzzle s... | 2026-01-05T10:16:23 | mauricekleine | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4i19c | false | null | t3_1q4i19c | /r/LocalLLaMA/comments/1q4i19c/benchmarking_23_llms_on_nonogram_logic_puzzle/ | false | false | default | 52 | {'enabled': True, 'images': [{'id': 'fdryj8qkaibg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/fdryj8qkaibg1.jpeg?width=108&crop=smart&auto=webp&s=6b4975fe152350083450c1a5fe08f5121aab565c', 'width': 108}, {'height': 120, 'url': 'https://preview.redd.it/fdryj8qkaibg1.jpeg?width=216&crop=smart&auto=w... | |
DUAL RX 9070 vs RTX 5060 Ti 16GB for local LLMs | 1 | [removed] | 2026-01-05T10:15:01 | https://www.reddit.com/r/LocalLLaMA/comments/1q4i0g6/dual_rx_9070_vs_rtx_5060_ti_16gb_for_local_llms/ | Fast_Thing_7949 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4i0g6 | false | null | t3_1q4i0g6 | /r/LocalLLaMA/comments/1q4i0g6/dual_rx_9070_vs_rtx_5060_ti_16gb_for_local_llms/ | false | false | self | 1 | null |
DUAL RX 9070 vs RTX 5060 Ti 16GB for local LLMs | 1 | [removed] | 2026-01-05T10:11:56 | https://www.reddit.com/r/LocalLLaMA/comments/1q4hyn9/dual_rx_9070_vs_rtx_5060_ti_16gb_for_local_llms/ | Fast_Thing_7949 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4hyn9 | false | null | t3_1q4hyn9 | /r/LocalLLaMA/comments/1q4hyn9/dual_rx_9070_vs_rtx_5060_ti_16gb_for_local_llms/ | false | false | 1 | null | |
Local / self-hosted alternative to NotebookLM for generating narrated videos? | 2 | Hi everyone,
I’m looking for a **local / self-hosted alternative to NotebookLM**, specifically the feature where it can generate a **video with narrated audio** based on documents or notes.
NotebookLM works great, but I’m dealing with **private and confidential data**, so uploading it to a hosted service isn’t an opt... | 2026-01-05T09:58:31 | https://www.reddit.com/r/LocalLLaMA/comments/1q4hqei/local_selfhosted_alternative_to_notebooklm_for/ | Proof-Exercise2695 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4hqei | false | null | t3_1q4hqei | /r/LocalLLaMA/comments/1q4hqei/local_selfhosted_alternative_to_notebooklm_for/ | false | false | self | 2 | null |
Need help deciding on desktop GPU server | 0 | we have a budget of 45k$ to build a GPU workstation for a university mainly for full model training and finetuning.
does anyone have any experience with H200 or PRO 6000 GPUs for said task?
how does 2 x Pro 6000 compare with a single h200?
what concerns should be addressed? | 2026-01-05T09:51:25 | https://www.reddit.com/r/LocalLLaMA/comments/1q4hmbb/need_help_deciding_on_desktop_gpu_server/ | mohammacl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4hmbb | false | null | t3_1q4hmbb | /r/LocalLLaMA/comments/1q4hmbb/need_help_deciding_on_desktop_gpu_server/ | false | false | self | 0 | null |
We trained a 7B model (OpenChat) on synthetic OCR data to beat public dataset benchmarks on financial docs. (Paper + Method inside) | 15 | We have been researching a major bottleneck in Financial Document Understanding (FDU): **The Privacy Paradox.**
To build accurate invoice parsers, you need complex, messy, real-world data (nested tables, colliding columns). But due to privacy laws, you can't use client data for training. Most teams resort to public da... | 2026-01-05T09:36:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q4hdzs/we_trained_a_7b_model_openchat_on_synthetic_ocr/ | Hyperbots | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4hdzs | false | null | t3_1q4hdzs | /r/LocalLLaMA/comments/1q4hdzs/we_trained_a_7b_model_openchat_on_synthetic_ocr/ | false | false | self | 15 | null |
Grafted Titans: a Plug-and-Play Neural Memory for Open-Weight LLMs | 40 | I’ve been experimenting with **Test-Time Training (TTT)**, specifically trying to replicate the core concept of Google’s "Titans" architecture (learning a neural memory on the fly) without the massive compute requirement of training a transformer from scratch.
I wanted to see if I could "graft" a trainable memory modu... | 2026-01-05T09:34:36 | https://msukhareva.substack.com/p/grafted-titans-i-built-a-plug-and | Forsaken-Park8149 | msukhareva.substack.com | 1970-01-01T00:00:00 | 0 | {} | 1q4hcsf | false | null | t3_1q4hcsf | /r/LocalLLaMA/comments/1q4hcsf/grafted_titans_a_plugandplay_neural_memory_for/ | false | false | 40 | {'enabled': False, 'images': [{'id': 'yT3YokEiN9WPYwPoTIkN__Yl-gpZQVW4GImTVvFalds', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/yT3YokEiN9WPYwPoTIkN__Yl-gpZQVW4GImTVvFalds.jpeg?width=108&crop=smart&auto=webp&s=38ae5179f03d9090f808ac970a35890f650fed09', 'width': 108}, {'height': 108, 'url': '... | |
Introducing Falcon H1R 7B | 64 | This repository presents **Falcon-H1R-7B**, a reasoning-specialized model built on top of [Falcon-H1-7B-Base](https://huggingface.co/tiiuae/Falcon-H1-7B-Base) and trained via cold-start supervised fine-tuning with long reasoning traces and further enhanced by scaling RL with GRPO. The model demonstrates outstanding per... | 2026-01-05T09:31:04 | https://huggingface.co/blog/tiiuae/falcon-h1r-7b | jacek2023 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q4harh | false | null | t3_1q4harh | /r/LocalLLaMA/comments/1q4harh/introducing_falcon_h1r_7b/ | false | false | 64 | {'enabled': False, 'images': [{'id': 'cp8sHrI0u-v727PXUjUREk9f3_bJczbhgY4L_llZyME', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/cp8sHrI0u-v727PXUjUREk9f3_bJczbhgY4L_llZyME.png?width=108&crop=smart&auto=webp&s=136ac5e06e59f3dbeef57a311466d5684c013f06', 'width': 108}, {'height': 116, 'url': 'h... | |
Some interesting takeaways from a new paper on why voice deepfake detectors fail on new APIs | 1 | [removed] | 2026-01-05T09:29:52 | https://www.sayso.ai/ | sayso_ai | sayso.ai | 1970-01-01T00:00:00 | 0 | {} | 1q4ha0v | false | null | t3_1q4ha0v | /r/LocalLLaMA/comments/1q4ha0v/some_interesting_takeaways_from_a_new_paper_on/ | false | false | default | 1 | null |
my final verdict on the "best" ai tools for 2025 | 1 | [removed] | 2026-01-05T08:55:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q4gqtw/my_final_verdict_on_the_best_ai_tools_for_2025/ | Immediate_Being_3341 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4gqtw | false | null | t3_1q4gqtw | /r/LocalLLaMA/comments/1q4gqtw/my_final_verdict_on_the_best_ai_tools_for_2025/ | false | false | self | 1 | null |
Psycho Simulator – Do LLMs dream of AI psychosis? | 0 | 2026-01-05T08:45:27 | https://store.steampowered.com/news/app/1244620/view/525362843051100830 | Koksny | store.steampowered.com | 1970-01-01T00:00:00 | 0 | {} | 1q4gkyd | false | null | t3_1q4gkyd | /r/LocalLLaMA/comments/1q4gkyd/psycho_simulator_do_llms_dream_of_ai_psychosis/ | false | false | default | 0 | null | |
I kept wasting time on MCP config errors, so I built a tool to find them | 0 | Hey,
Anyone else spent way too long debugging MCP configs? Trailing comma somewhere, unhelpful error. Wrong path, silent failure. Missing env var, was a nightmare.
Got fed up and so made mcp-doctor — its a free open-source CLI that scans your configs and tells you exactly what's wrong:
npm install -g mcp-doctor
mcp... | 2026-01-05T08:12:32 | https://www.reddit.com/r/LocalLLaMA/comments/1q4g25x/i_kept_wasting_time_on_mcp_config_errors_so_i/ | Embarrassed_Win1608 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4g25x | false | null | t3_1q4g25x | /r/LocalLLaMA/comments/1q4g25x/i_kept_wasting_time_on_mcp_config_errors_so_i/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'df_hXLi2WU2M_PjG8Rf1YldOZtFhzKbnFPXtR-7jKDU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/df_hXLi2WU2M_PjG8Rf1YldOZtFhzKbnFPXtR-7jKDU.png?width=108&crop=smart&auto=webp&s=f53a0aaaa9a2a041c88d936d7273e0f5e948654b', 'width': 108}, {'height': 108, 'url': 'h... |
AJT now has a dead-simple runnable demo - closes the “what do I actually run?” gap | 0 | Hey everyone
[https://github.com/Nick-heo-eg/spec](https://github.com/Nick-heo-eg/spec)
In earlier posts and comments, a few people pointed out something that really resonated with me: the distinction between execution logs and decision logs, and how many silent failures live in the layer that decides whether a check... | 2026-01-05T08:07:05 | https://www.reddit.com/r/LocalLLaMA/comments/1q4fz77/ajt_now_has_a_deadsimple_runnable_demo_closes_the/ | Echo_OS | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4fz77 | false | null | t3_1q4fz77 | /r/LocalLLaMA/comments/1q4fz77/ajt_now_has_a_deadsimple_runnable_demo_closes_the/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'X_TU3O5-5ATBpGK_pdBWCONwRYSOqG622IKX035im5A', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/X_TU3O5-5ATBpGK_pdBWCONwRYSOqG622IKX035im5A.png?width=108&crop=smart&auto=webp&s=4286e3ec041090152aef39d2b2c50c0b474d7172', 'width': 108}, {'height': 108, 'url': 'h... |
I need a mentor | 0 | I am Arjun, an beginner independent researcher working on a boundary condition I call it R''s Limit. I have identified a potential logical failure point in AI reasoning at P=0.5.
I have received feedback that my current draft lacks formal academic rigor and a literature review. I am not looking for someone to do the wo... | 2026-01-05T07:27:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q4fbq1/i_need_a_mentor/ | SafeEvening9468 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4fbq1 | false | null | t3_1q4fbq1 | /r/LocalLLaMA/comments/1q4fbq1/i_need_a_mentor/ | false | false | self | 0 | null |
不知道为啥我在llama-factory上微调的模型导出后效果就会变差！ | 0 | [直接加载检查点的回答](https://preview.redd.it/zki27qaxfhbg1.png?width=2428&format=png&auto=webp&s=f22419524062804ec6ce6ac0b9a7e3e565092f1f)
[加载训练后导出的模型的回答](https://preview.redd.it/l6pn9iy0ghbg1.png?width=2540&format=png&auto=webp&s=52ee28cb17673364c795ddbc51277ad5f0233678)
我在Qwen3:8B上用QLoRA（量化等级8）对少量文本对做了50轮次的微调，为了凸显效果，学习率被调到... | 2026-01-05T07:25:51 | https://www.reddit.com/r/LocalLLaMA/comments/1q4fb0r/不知道为啥我在llamafactory上微调的模型导出后效果就会变差/ | Ok-Money-9173 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4fb0r | false | null | t3_1q4fb0r | /r/LocalLLaMA/comments/1q4fb0r/不知道为啥我在llamafactory上微调的模型导出后效果就会变差/ | false | false | 0 | null | |
My electricity bill after discovering I can run every new model "just to test it" | 0 | January: $120
February: $145
March (after finding this sub): $847
Me at 3am: "But what if Llama 3.5 70B runs better with these specific quantization settings?"
My GPU fans: \*airplane noises\*
My wallet: 💀
At least I'm supporting renewable energy... right? RIGHT? | 2026-01-05T07:19:14 | https://www.reddit.com/r/LocalLLaMA/comments/1q4f73w/my_electricity_bill_after_discovering_i_can_run/ | stressfreepro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4f73w | false | null | t3_1q4f73w | /r/LocalLLaMA/comments/1q4f73w/my_electricity_bill_after_discovering_i_can_run/ | false | false | self | 0 | null |
I built a visual AI workflow tool that runs entirely in your browser - Ollama, LM Studio, llama.cpp and Most cloud API's all work out of the box. Agents/Websearch/TTS/Etc. | 148 | You might remember me from LlamaCards a previous program ive built or maybe you've seen some of my agentic computer use posts with Moondream/Minicpm navigation creating reddit posts.
Ive had my head down and I've finally gotten something I wanted to show you all.
**EmergentFlow** \- a visual node-based editor for cre... | 2026-01-05T07:08:30 | https://v.redd.it/ps5d841s2hbg1 | l33t-Mt | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4f0tm | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/ps5d841s2hbg1/DASHPlaylist.mpd?a=1770188925%2CZTZjMGNiMTNjMjBmOTgxNTczYTIzODYzZGQzMGY3M2JlYzM3ZDVkZjQ4MDU0MGZmOTkyMmQ1ODE5YzQwNjk2OQ%3D%3D&v=1&f=sd', 'duration': 64, 'fallback_url': 'https://v.redd.it/ps5d841s2hbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q4f0tm | /r/LocalLLaMA/comments/1q4f0tm/i_built_a_visual_ai_workflow_tool_that_runs/ | false | false | 148 | {'enabled': False, 'images': [{'id': 'aGJ3cmdlMXMyaGJnMfKIu2bgp1pENmKjPeusz-I2kkXf7vs8dV2V756jCzVD', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/aGJ3cmdlMXMyaGJnMfKIu2bgp1pENmKjPeusz-I2kkXf7vs8dV2V756jCzVD.png?width=108&crop=smart&format=pjpg&auto=webp&s=886b7001bc66de1f3090f19cc96122e466729... | |
Need architectural feedback: privacy-safe cloud memory between your data and LLM agents | 1 | Hi Reddit,
We’re the team behind **Aristo**, currently building a product called **Membase**. We’re trying to solve a problem many of you probably know well: every time you switch LLMs or agent frameworks, you have to rebuild or re-inject all your context from scratch.
Our goal is to build a **syncable, persistent me... | 2026-01-05T07:00:58 | https://www.reddit.com/r/LocalLLaMA/comments/1q4ew2k/need_architectural_feedback_privacysafe_cloud/ | Ok_Soup6298 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4ew2k | false | null | t3_1q4ew2k | /r/LocalLLaMA/comments/1q4ew2k/need_architectural_feedback_privacysafe_cloud/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'Bno3u-87U0rD9C3RNRKS5VPqUWwD7q2MvGjpimbkn18', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/Bno3u-87U0rD9C3RNRKS5VPqUWwD7q2MvGjpimbkn18.png?width=108&crop=smart&auto=webp&s=4e9458692157491734ec8c059c1d84669ade9efa', 'width': 108}, {'height': 113, 'url': 'h... |
Are GPUs really the bottleneck — or is it the software stack? | 0 | With larger LLMs and heavier inference stacks, it’s common to hear that consumer GPUs are “falling behind” and that cloud is inevitable.
I’m not fully convinced the hardware is the core problem.
A lot of inference pipelines still:
• collapse structured sparsity back into dense ops,
• move more data than necessary... | 2026-01-05T06:59:36 | https://www.reddit.com/r/LocalLLaMA/comments/1q4ev7h/are_gpus_really_the_bottleneck_or_is_it_the/ | Curious_Call4704 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4ev7h | false | null | t3_1q4ev7h | /r/LocalLLaMA/comments/1q4ev7h/are_gpus_really_the_bottleneck_or_is_it_the/ | false | false | self | 0 | null |
We need an LLM that can read it's own thoughts. | 0 | Most LLMs that can "reason" have no ability to read their reasoning in the `<think></think>` tags. Be it Qwen3 or SmolLM3, they don't see any <think> tags even if they are there. And that was precisely after enabling the `Show raw LLM output` setting in llama-cpp's chat UI. The reasoning still exists in the context but... | 2026-01-05T06:47:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q4enz5/we_need_an_llm_that_can_read_its_own_thoughts/ | Brospeh-Stalin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4enz5 | false | null | t3_1q4enz5 | /r/LocalLLaMA/comments/1q4enz5/we_need_an_llm_that_can_read_its_own_thoughts/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'aprc_YFFurO5bVyUjyMm3GS8Nyk7lZvT99NhsfjMw4E', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/aprc_YFFurO5bVyUjyMm3GS8Nyk7lZvT99NhsfjMw4E.png?width=108&crop=smart&auto=webp&s=84c0fa6d1390e0859c17361f50590d8a19902843', 'width': 108}, {'height': 432, 'url': '... |
Switching models in KoboldCpp 1.96.2? | 0 | I've been told there's a way to do it, but I can't find it in any of the settings. I'd like to be able to switch llm models without having to shut the program down and start again. Anyone have an idea how to do that?
Thanks!
| 2026-01-05T06:32:42 | https://www.reddit.com/r/LocalLLaMA/comments/1q4eei1/switching_models_in_koboldcpp_1962/ | Cartoonwhisperer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4eei1 | false | null | t3_1q4eei1 | /r/LocalLLaMA/comments/1q4eei1/switching_models_in_koboldcpp_1962/ | false | false | self | 0 | null |
is "anonymous ai" the only way to stay safe online now? | 1 | [removed] | 2026-01-05T04:56:01 | https://www.reddit.com/r/LocalLLaMA/comments/1q4cjvt/is_anonymous_ai_the_only_way_to_stay_safe_online/ | Immediate_Being_3341 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4cjvt | false | null | t3_1q4cjvt | /r/LocalLLaMA/comments/1q4cjvt/is_anonymous_ai_the_only_way_to_stay_safe_online/ | false | false | self | 1 | null |
Stress-testing local LLM agents with adversarial inputs (Ollama, Qwen) | 4 | I’ve been working on a small open-source tool to stress-test AI agents that run on local models (Ollama, Qwen, Gemma, etc.).
The problem I kept running into: an agent looks fine when tested with clean prompts, but once you introduce typos, tone shifts, long context, or basic prompt injection patterns, behavior gets un... | 2026-01-05T04:35:23 | https://www.reddit.com/r/LocalLLaMA/comments/1q4c4jb/stresstesting_local_llm_agents_with_adversarial/ | No-Common1466 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4c4jb | false | null | t3_1q4c4jb | /r/LocalLLaMA/comments/1q4c4jb/stresstesting_local_llm_agents_with_adversarial/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'EVu0Db2EbiHKX1v3WNoAqqz3vAl6s6BqflIKSe-GZEs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/EVu0Db2EbiHKX1v3WNoAqqz3vAl6s6BqflIKSe-GZEs.png?width=108&crop=smart&auto=webp&s=a8439fab05e047dc014e3c49ecdef6529b7dab6b', 'width': 108}, {'height': 108, 'url': 'h... |
vLLM reaches 2000 contributors! | 30 | 2026-01-05T04:04:52 | https://github.com/vllm-project/vllm/graphs/contributors | jinnyjuice | github.com | 1970-01-01T00:00:00 | 0 | {} | 1q4bhtm | false | null | t3_1q4bhtm | /r/LocalLLaMA/comments/1q4bhtm/vllm_reaches_2000_contributors/ | false | false | default | 30 | null | |
[R] We built a framework to make Agents "self-evolve" using LoongFlow. Paper + Code released | 29 | Hi Reddit,
We are the team behind **LoongFlow**. We've been researching how to solve the "static agent" problem—where agents fail to adapt to complex tasks or get stuck in loops.
Instead of manual prompt engineering, we applied **Evolutionary Algorithms** (Selection, Mutation, Crossover) to the agent workflow. Treat ... | 2026-01-05T03:33:57 | https://www.reddit.com/r/LocalLLaMA/comments/1q4atlx/r_we_built_a_framework_to_make_agents_selfevolve/ | FreshmanDD | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4atlx | false | null | t3_1q4atlx | /r/LocalLLaMA/comments/1q4atlx/r_we_built_a_framework_to_make_agents_selfevolve/ | false | false | self | 29 | null |
Dedicated RTX 4090 Inference API is Live! 24GB VRAM & Ultra-Low Latency 🚀 | 0 | Hi Devs,
I’ve officially launched my dedicated NVIDIA RTX 4090 hosting on RapidAPI under MonsterGPU AI. If you're tired of slow cloud providers or high costs, this is built for raw performance.
Why use this?
Dedicated Power: You get the full 24GB VRAM of a 4090 for your models.
Reliability: 100% Success Rate and 2... | 2026-01-05T03:30:40 | MonsterGPUAI | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q4ar3d | false | null | t3_1q4ar3d | /r/LocalLLaMA/comments/1q4ar3d/dedicated_rtx_4090_inference_api_is_live_24gb/ | true | false | spoiler | 0 | {'enabled': True, 'images': [{'id': 'u1aelva9agbg1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/u1aelva9agbg1.png?width=108&crop=smart&auto=webp&s=a0802b430e183a89088154410737071598b7b0aa', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/u1aelva9agbg1.png?width=216&crop=smart&auto=we... | |
Budget LLM Setup Advice | 3 | I'm looking to try writing small agents to do stuff like sort my email and texts, as well as possibly tool-call to various other services. I've got a GTX 970 right now and am thinking of picking up an RTX 3060 12GB since I've got a budget of $200-250. I've got dual PCI 3.0 slots on my motherboard, so I was thinking of ... | 2026-01-05T03:27:16 | https://www.reddit.com/r/LocalLLaMA/comments/1q4aogc/budget_llm_setup_advice/ | UndefinedBurrito | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4aogc | false | null | t3_1q4aogc | /r/LocalLLaMA/comments/1q4aogc/budget_llm_setup_advice/ | false | false | self | 3 | null |
VLA模型研究进展 | 0 | 2026-01-05T03:25:15 | https://vlamodels-nm5d2sqk.manus.space | SquashThis3025 | vlamodels-nm5d2sqk.manus.space | 1970-01-01T00:00:00 | 0 | {} | 1q4amx0 | false | null | t3_1q4amx0 | /r/LocalLLaMA/comments/1q4amx0/vla模型研究进展/ | false | false | default | 0 | null | |
[Release] We trained an AI to understand Taiwanese memes and slang because major models couldn't. Meet Twinkle AI's gemma-3-4B-T1-it. | 31 | Hi r/LocalLLaMA ,
We are **Twinkle AI**, and today we are releasing **gemma-3-4B-T1-Instruct**.
We realized that when major LLMs generate Traditional Chinese, they often default to Mainland Chinese terminology, slang, and cultural perspectives. They translate the *words*, but miss the *context*.
We built **gemma-3-4... | 2026-01-05T03:19:37 | https://www.reddit.com/r/LocalLLaMA/comments/1q4aiko/release_we_trained_an_ai_to_understand_taiwanese/ | piske_usagi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4aiko | false | null | t3_1q4aiko | /r/LocalLLaMA/comments/1q4aiko/release_we_trained_an_ai_to_understand_taiwanese/ | false | false | 31 | null | |
Llama 3.3 8B, abliterated to <0.05 KL | 106 | This is an abliterated version of the allegedly leaked Llama 3.3 8B 128k model that tries to minimize intelligence loss while optimizing for compliance.
Link (BF16 weights):
[https://huggingface.co/SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K\_Abliterated](https://huggingface.co/SicariusSicariiStuff/Llama-3.3-8B-I... | 2026-01-05T03:18:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q4ahw1/llama_33_8b_abliterated_to_005_kl/ | Sicarius_The_First | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q4ahw1 | false | null | t3_1q4ahw1 | /r/LocalLLaMA/comments/1q4ahw1/llama_33_8b_abliterated_to_005_kl/ | false | false | self | 106 | {'enabled': False, 'images': [{'id': '-qyQS6pOmNn1v87ALBAZp6uMsGIkARCgSorjrYn2uu4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/-qyQS6pOmNn1v87ALBAZp6uMsGIkARCgSorjrYn2uu4.png?width=108&crop=smart&auto=webp&s=277a008c8fec217fe8e052d9f7b6051d11247212', 'width': 108}, {'height': 116, 'url': 'h... |
EasyWhisperUI - Open-Source Easy UI for OpenAI’s Whisper model with cross platform GPU support (Windows/Mac) | 22 | Hey guys, it’s been a while but I’m happy to announce a major update for **EasyWhisperUI**.
Whisper is OpenAI’s automatic speech recognition (ASR) model that converts audio into text, and it can also translate speech into English. It’s commonly used for transcribing things like meetings, lectures, podcasts, and videos... | 2026-01-05T01:58:52 | https://www.reddit.com/r/LocalLLaMA/comments/1q48q2s/easywhisperui_opensource_easy_ui_for_openais/ | mehtabmahir | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q48q2s | false | null | t3_1q48q2s | /r/LocalLLaMA/comments/1q48q2s/easywhisperui_opensource_easy_ui_for_openais/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'ZSbyvQAuhvvD-cKhbLSHjjIq29WZdAagizEiGGWo2zw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ZSbyvQAuhvvD-cKhbLSHjjIq29WZdAagizEiGGWo2zw.png?width=108&crop=smart&auto=webp&s=d2709ab151c51bbfaf505fe549c1cfc4adc5f9e7', 'width': 108}, {'height': 108, 'url': 'h... |
Using small lightweight models for AI chatbots that watch a livestream and comment on what is going on | 6 | I've been experimenting with lightweight ultra-fast models. They don't need to do anything too complicated, just respond to a description of what is happening on a livestream and comment on it in real-time.
I've found smaller models are a bit too dumb and repetitive. They also overly rely on emojis. So far, Llama 3.1... | 2026-01-05T01:47:40 | https://www.reddit.com/r/LocalLLaMA/comments/1q48guf/using_small_lightweight_models_for_ai_chatbots/ | Powerful-Frame-44 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q48guf | false | null | t3_1q48guf | /r/LocalLLaMA/comments/1q48guf/using_small_lightweight_models_for_ai_chatbots/ | false | false | self | 6 | null |
Any help with training vibevoice Lora ? I couldn't find any information about diffusion-head, acoustic connector, and semantic connector ... | 4 | So, I trained a LoRa and since the diffusion head file was very large, over 1 gigabyte, I didn't download it.
The comfyui extension said that only adapter config and adapter model were necessary.
But chatgpt told me that diffusion head is the most important part :(
I have very good results with model 7b with 30-seco... | 2026-01-05T01:20:07 | More_Bid_2197 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q47u9j | false | null | t3_1q47u9j | /r/LocalLLaMA/comments/1q47u9j/any_help_with_training_vibevoice_lora_i_couldnt/ | false | false | default | 4 | {'enabled': True, 'images': [{'id': 'opqjqm26mfbg1', 'resolutions': [{'height': 68, 'url': 'https://preview.redd.it/opqjqm26mfbg1.png?width=108&crop=smart&auto=webp&s=aaacee3023190db5e92188858391332ab9a78d4c', 'width': 108}, {'height': 137, 'url': 'https://preview.redd.it/opqjqm26mfbg1.png?width=216&crop=smart&auto=web... | |
Delta Compression for Fine-tuned Models and Datasets | 2 | Sparse compresses fine-tuned models and derivative datasets as deltas from their base versions.
>
**Post-hoc compression for ANY fine-tune.** Unlike LoRA (which requires training differently), Sparse works on models you've *already* trained.
||LoRA/PEFT|Sparse Lossless|Sparse Lossy|
|:-|:-|:-|:-|
|**When**|During tr... | 2026-01-05T01:09:00 | https://www.reddit.com/r/LocalLLaMA/comments/1q47kyt/delta_compression_for_finetuned_models_and/ | gagan-suie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q47kyt | false | null | t3_1q47kyt | /r/LocalLLaMA/comments/1q47kyt/delta_compression_for_finetuned_models_and/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '7huBgr12pmd5BowMmK11HkVqv2D13v-KSrb28sTDOPU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/7huBgr12pmd5BowMmK11HkVqv2D13v-KSrb28sTDOPU.png?width=108&crop=smart&auto=webp&s=a1922307cbce21130fa7700f92f15fb97e294c6c', 'width': 108}, {'height': 108, 'url': 'h... |
my "unfiltered" content creation workflow (step-by-step) | 1 | [removed] | 2026-01-05T00:56:02 | https://www.reddit.com/r/LocalLLaMA/comments/1q47a2z/my_unfiltered_content_creation_workflow_stepbystep/ | Immediate_Being_3341 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q47a2z | false | null | t3_1q47a2z | /r/LocalLLaMA/comments/1q47a2z/my_unfiltered_content_creation_workflow_stepbystep/ | false | false | self | 1 | null |
some questions about the Right Way™ to build LLM (specifically VLM) apps in 2026 | 2 | so, about six months ago I built this handwritten note transcription/search/annotation/management software with Claude Code out of Flask and PyTorch: [https://youtu.be/8TRuaBOGNwg?si=LcFsovis9DXxyNOg](https://youtu.be/8TRuaBOGNwg?si=LcFsovis9DXxyNOg)
it runs on my 16GB 5060Ti with Qwen2.5-VL-7B-Instruct. I have honest... | 2026-01-05T00:49:40 | https://www.reddit.com/r/LocalLLaMA/comments/1q474r1/some_questions_about_the_right_way_to_build_llm/ | starkruzr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q474r1 | false | null | t3_1q474r1 | /r/LocalLLaMA/comments/1q474r1/some_questions_about_the_right_way_to_build_llm/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'XAH_v-jFW4T3Pwb8QPOdK6TiWjmexqvTQO5dbJDWfLA', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/XAH_v-jFW4T3Pwb8QPOdK6TiWjmexqvTQO5dbJDWfLA.jpeg?width=108&crop=smart&auto=webp&s=34d262330a7be2ae485e43acc44d55a7ba229bfc', 'width': 108}, {'height': 162, 'url': '... |
Orla: use lightweight, open-source, local agents as UNIX tools. | 32 | [https://github.com/dorcha-inc/orla](https://github.com/dorcha-inc/orla)
The current ecosystem around agents feels like a collection of bloated SaaS with expensive subscriptions and privacy concerns. Orla brings large language models to your terminal with a dead-simple, Unix-friendly interface. Everything runs 100% lo... | 2026-01-04T23:15:07 | https://www.reddit.com/gallery/1q44ujj | Available_Pressure47 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q44ujj | false | null | t3_1q44ujj | /r/LocalLLaMA/comments/1q44ujj/orla_use_lightweight_opensource_local_agents_as/ | false | false | 32 | null | |
Do you think that Apple will open source the Gemini model it purchases from Google? | 0 | Obviously, Apple has always been about “transparency” so they claim. They’ve also released former models especially the ones that run locally since they literally have no choice, people will reverse engineer it out. With the higher end Mac Studios possibly actually being able to run the large Gemini model locally, mayb... | 2026-01-04T23:07:29 | https://www.reddit.com/r/LocalLLaMA/comments/1q44nse/do_you_think_that_apple_will_open_source_the/ | Unusual_Guidance2095 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q44nse | false | null | t3_1q44nse | /r/LocalLLaMA/comments/1q44nse/do_you_think_that_apple_will_open_source_the/ | false | false | self | 0 | null |
Squeezing Turing: Achieving 22,000+ tokens/sec training speed on RTX 2070 Super using custom Triton kernels | 1 | [removed] | 2026-01-04T22:58:14 | KZ-Media-Developers | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q44fba | false | null | t3_1q44fba | /r/LocalLLaMA/comments/1q44fba/squeezing_turing_achieving_22000_tokenssec/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'z92h1h9bxebg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/z92h1h9bxebg1.png?width=108&crop=smart&auto=webp&s=ef16e9e7cd106a7f40a198118e0f9cf9ef977416', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/z92h1h9bxebg1.png?width=216&crop=smart&auto=web... | |
Built an API to index videos into embeddings—optimized for running RAG locally | 0 | Hey LocalLLaMA folks, I'm working on something that might be useful if you're running RAG setups locally.
**The problem:** Video indexing for RAG is a pain. If you want to index your own videos (recordings, lectures, internal content) for local LLM querying, you either:
* Manually run Whisper + OCR + embedding code
*... | 2026-01-04T22:44:05 | https://www.reddit.com/r/LocalLLaMA/comments/1q442q1/built_an_api_to_index_videos_into/ | soroushamdg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q442q1 | false | null | t3_1q442q1 | /r/LocalLLaMA/comments/1q442q1/built_an_api_to_index_videos_into/ | false | false | self | 0 | null |
I built a local GUI for vector DBs (pgvector, Qdrant, Chroma, more) | 5 | 👋 Hey everyone,
I’ve been working a lot with vector databases in local and self-hosted setups, and I kept missing a good way to actually inspect what’s inside the vector store without spinning up notebooks or writing scripts.
Most tools are cloud-first or tied to a single provider, so I started building VectorDBZ, a... | 2026-01-04T22:43:06 | https://www.reddit.com/r/LocalLLaMA/comments/1q441tp/i_built_a_local_gui_for_vector_dbs_pgvector/ | snirjka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q441tp | false | null | t3_1q441tp | /r/LocalLLaMA/comments/1q441tp/i_built_a_local_gui_for_vector_dbs_pgvector/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'DztiU_ZLwX9J4ojCthSzAqT4W5QGUW9JHJgCps5VRuQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DztiU_ZLwX9J4ojCthSzAqT4W5QGUW9JHJgCps5VRuQ.png?width=108&crop=smart&auto=webp&s=3c6c2a78276aafab626c76a6f5ee8cafd807a880', 'width': 108}, {'height': 108, 'url': 'h... |
Local YouTube Video Transcription/ summarizer | 0 | Anyone interested in how I built this tool or want to discuss MCP, LM Studio, or GPT-OSS 20B? Feel free to reach out!
Also, what do you think about Meta moving away from its open-source AI strategy in favor of a paid model? Do you think we’ll see a 20B model that outperforms GPT-OSS? And with NVIDIA already having the... | 2026-01-04T22:37:37 | https://v.redd.it/47pskfu9tebg1 | Serious_Molasses313 | /r/LocalLLaMA/comments/1q43wqo/local_youtube_video_transcription_summarizer/ | 1970-01-01T00:00:00 | 0 | {} | 1q43wqo | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/47pskfu9tebg1/DASHPlaylist.mpd?a=1770287868%2CMjZlMzEyNGE4M2FhODRlMWJjM2FmZDBlMmUxOTdiMDJlNDdmZDAxOWYyMjMyZjg3OWU2NzgzMDg5NzljODE2MQ%3D%3D&v=1&f=sd', 'duration': 377, 'fallback_url': 'https://v.redd.it/47pskfu9tebg1/CMAF_1080.mp4?source=fallback', '... | t3_1q43wqo | /r/LocalLLaMA/comments/1q43wqo/local_youtube_video_transcription_summarizer/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'eXFqY3d5dTl0ZWJnMZE0patPv2SenRZKLAsS-u86TTuGgfsolMtVfL4VVegq', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/eXFqY3d5dTl0ZWJnMZE0patPv2SenRZKLAsS-u86TTuGgfsolMtVfL4VVegq.png?width=108&crop=smart&format=pjpg&auto=webp&s=e8d76800a4a017090653b5e8bdc2b45a231b... | |
Squeezing Turing: Achieving 22,000+ tokens/sec training speed on RTX 2070 Super using custom Triton kernels | 1 | [removed] | 2026-01-04T22:35:03 | Extension_Phrase_801 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q43ufh | false | null | t3_1q43ufh | /r/LocalLLaMA/comments/1q43ufh/squeezing_turing_achieving_22000_tokenssec/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'p8r5yuhnsebg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/p8r5yuhnsebg1.png?width=108&crop=smart&auto=webp&s=c767dcafbc82efdcbec3359f329d0ecccc479635', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/p8r5yuhnsebg1.png?width=216&crop=smart&auto=web... | |
Local YouTube Transcription/ summarizer | 0 | Close Source companies just want our data. Only you can do something about it.
Since using Local Ai I've stopped signing into things I don't need to. And if I do sign in I don't onteract with the front end | 2026-01-04T22:12:18 | https://v.redd.it/j7ve3xjroebg1 | Serious_Molasses313 | /r/LocalLLaMA/comments/1q439lp/local_youtube_transcription_summarizer/ | 1970-01-01T00:00:00 | 0 | {} | 1q439lp | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/j7ve3xjroebg1/DASHPlaylist.mpd?a=1770286344%2CMWM0OGFlZjgzYjEzYWFkZDY0M2NlYWU1NjZmOWQxOGFkODMzZWZlZjczMGMzYmMwMjFlMzExNTJiNjhhZTgyZA%3D%3D&v=1&f=sd', 'duration': 377, 'fallback_url': 'https://v.redd.it/j7ve3xjroebg1/CMAF_1080.mp4?source=fallback', '... | t3_1q439lp | /r/LocalLLaMA/comments/1q439lp/local_youtube_transcription_summarizer/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'NGlwNTY5a3JvZWJnMf2YES6qzjqvSRR8vchIRSZT6AAEu-s21DziMm8t8GFZ', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/NGlwNTY5a3JvZWJnMf2YES6qzjqvSRR8vchIRSZT6AAEu-s21DziMm8t8GFZ.png?width=108&crop=smart&format=pjpg&auto=webp&s=802ffa65377153c4560c524b44556f0a2f0d... | |
Introducing Adaptive-P: A New Sampler for Creative Text Generation (llama.cpp PR) | 118 | Hey everyone,
I wanted to share a sampling method we've been working on called Adaptive-P. Before I get into it, I should mention that due to a visual impairment, I used AI assistance in writing both the documentation and this post. I want to be upfront about that. The algorithm itself and the underlying idea are huma... | 2026-01-04T21:58:39 | https://www.reddit.com/r/LocalLLaMA/comments/1q42wtt/introducing_adaptivep_a_new_sampler_for_creative/ | DragPretend7554 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q42wtt | false | null | t3_1q42wtt | /r/LocalLLaMA/comments/1q42wtt/introducing_adaptivep_a_new_sampler_for_creative/ | false | false | self | 118 | {'enabled': False, 'images': [{'id': '6UyHe_V93D0kKJ0vL_htKTbCfPCuxROJj4hsjDX_86I', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6UyHe_V93D0kKJ0vL_htKTbCfPCuxROJj4hsjDX_86I.png?width=108&crop=smart&auto=webp&s=7810b4b016491ea78491ab3177676631484c2072', 'width': 108}, {'height': 108, 'url': 'h... |
Stache AI: Self-hosted RAG that runs 100% locally with Ollama + connects to Claude via MCP | 1 | Stache AI is a personal knowledge base that runs entirely on your machine - no API keys, no cloud, no data leaving your network.
# The Stack (all local)
* **Embeddings**: Ollama with nomic-embed-text (or mxbai-embed-large)
* **Vector DB**: Qdrant (runs in Docker)
* **LLM**: Your choice - Ollama for local, or OpenAI/A... | 2026-01-04T21:58:03 | https://www.reddit.com/r/LocalLLaMA/comments/1q42wa9/stache_ai_selfhosted_rag_that_runs_100_locally/ | jtpenny | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q42wa9 | false | null | t3_1q42wa9 | /r/LocalLLaMA/comments/1q42wa9/stache_ai_selfhosted_rag_that_runs_100_locally/ | false | false | self | 1 | null |
Beyond Simple Chatbots: A Production-Grade Agent Architecture with "Context as a Service" [Discussion] | 1 | [removed] | 2026-01-04T21:37:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q42een/beyond_simple_chatbots_a_productiongrade_agent/ | Evening-Arm-34 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q42een | false | null | t3_1q42een | /r/LocalLLaMA/comments/1q42een/beyond_simple_chatbots_a_productiongrade_agent/ | false | false | self | 1 | null |
Query validation layer for local LLM agents that talk to databases | 0 | Running a local model that generates SQL for a database? Built a small validation layer for scope control and observability.
Not really about preventing attacks (your model probably isn't trying to DROP anything). More about:
1. **Hard boundaries** - define exactly which tables the agent can access
2. **Observability... | 2026-01-04T21:31:07 | https://www.reddit.com/r/LocalLLaMA/comments/1q429hh/query_validation_layer_for_local_llm_agents_that/ | Educational_Poet_862 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q429hh | false | null | t3_1q429hh | /r/LocalLLaMA/comments/1q429hh/query_validation_layer_for_local_llm_agents_that/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'w7T4wVoLVrimnhb2yWIi8hJoTcBsMgdlfTtYuNVCNYI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/w7T4wVoLVrimnhb2yWIi8hJoTcBsMgdlfTtYuNVCNYI.png?width=108&crop=smart&auto=webp&s=fa2c43dc7ce117cb16e64bb372f4af57d459aaa7', 'width': 108}, {'height': 108, 'url': 'h... |
Query validation for local LLM agents that talk to databases | 1 | Running a local model that generates SQL? Here's something I built after my Llama setup decided to improvise.
Had an agent querying a SQLite database for a side project. Worked fine until the model hallucinated this gem:
SELECT * FROM users WHERE id = 1; DROP TABLE users; --
Classic injection pattern, probably f... | 2026-01-04T21:14:41 | https://www.reddit.com/r/LocalLLaMA/comments/1q41v80/query_validation_for_local_llm_agents_that_talk/ | Educational_Poet_862 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q41v80 | false | null | t3_1q41v80 | /r/LocalLLaMA/comments/1q41v80/query_validation_for_local_llm_agents_that_talk/ | false | false | self | 1 | null |
5 tools that will make you a 10x better researcher | 1 | [removed] | 2026-01-04T20:56:02 | https://www.reddit.com/r/LocalLLaMA/comments/1q41dra/5_tools_that_will_make_you_a_10x_better_researcher/ | Immediate_Being_3341 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q41dra | false | null | t3_1q41dra | /r/LocalLLaMA/comments/1q41dra/5_tools_that_will_make_you_a_10x_better_researcher/ | false | false | self | 1 | null |
GLM-Image model from Z.ai is coming | 311 | [https://github.com/huggingface/transformers/pull/43100/files](https://github.com/huggingface/transformers/pull/43100/files) | 2026-01-04T20:54:04 | Ravencloud007 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q41bw1 | false | null | t3_1q41bw1 | /r/LocalLLaMA/comments/1q41bw1/glmimage_model_from_zai_is_coming/ | false | false | default | 311 | {'enabled': True, 'images': [{'id': 'sm31vizebebg1', 'resolutions': [{'height': 41, 'url': 'https://preview.redd.it/sm31vizebebg1.png?width=108&crop=smart&auto=webp&s=d9ee9099b93640865b93005ba663a7a509ca8879', 'width': 108}, {'height': 83, 'url': 'https://preview.redd.it/sm31vizebebg1.png?width=216&crop=smart&auto=webp... | |
gsh - play with any local model directly in your shell REPL or scripts | 14 | Sharing a holiday side project i just built: gsh - a new shell, like bash, zsh, fish, but fully agentic. I find it really useful for playing with local models both interactively and in automation scripts. [https://github.com/atinylittleshell/gsh](https://github.com/atinylittleshell/gsh)
Key features:
\- It can predi... | 2026-01-04T20:46:34 | atinylittleshell | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q414vj | false | null | t3_1q414vj | /r/LocalLLaMA/comments/1q414vj/gsh_play_with_any_local_model_directly_in_your/ | false | false | default | 14 | {'enabled': True, 'images': [{'id': 'yh1dwt9j8ebg1', 'resolutions': [{'height': 65, 'url': 'https://preview.redd.it/yh1dwt9j8ebg1.png?width=108&crop=smart&auto=webp&s=aaa84f0428d9dfa565be749011f17fcda281adee', 'width': 108}, {'height': 131, 'url': 'https://preview.redd.it/yh1dwt9j8ebg1.png?width=216&crop=smart&auto=web... | |
5070 Ti slower than 4070 Ti when ram spills? | 7 | Hi, I recently upgraded my GPU from a 4070 Ti (12GB) to an 5070 Ti (16GB). When I load a model with a context that's larger than the VRAM and it spills to system memory, the 5070 Ti is way slower.
E. g. with ministral 3 14b with 64k ctx I get 23 t/s with the 4070 Ti, but only 11 t/s with the newer 5070 Ti. When there ... | 2026-01-04T20:32:03 | https://www.reddit.com/r/LocalLLaMA/comments/1q40r6e/5070_ti_slower_than_4070_ti_when_ram_spills/ | AllTey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q40r6e | false | null | t3_1q40r6e | /r/LocalLLaMA/comments/1q40r6e/5070_ti_slower_than_4070_ti_when_ram_spills/ | false | false | self | 7 | null |
Real-time visibility into PyTorch training (dataloader stalls, memory leaks, step time drift) | 7 | Hey,
Quick share, I have been working on TraceML, a live observability tool for PyTorch training that shows you what's happening in real-time while your job runs.
**What it tracks live:**
* Dataloader fetch time (catches input pipeline stalls)
* GPU step time (non-blocking CUDA events, no sync overhead)
* GPU C... | 2026-01-04T20:31:11 | https://www.reddit.com/r/LocalLLaMA/comments/1q40qec/realtime_visibility_into_pytorch_training/ | traceml-ai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q40qec | false | null | t3_1q40qec | /r/LocalLLaMA/comments/1q40qec/realtime_visibility_into_pytorch_training/ | false | false | self | 7 | null |
Whats better moe or dense models ? | 0 | What would be better a 80b moe with 3b aktiv like qwen next or a 70b dense model like llama 3.3 because moes are very fast but do they impact performance like in knowledge or is it as good as a dense model an if it isn’t would a Modell like qwen3 vl 32b be better then qwen next 80b ? | 2026-01-04T20:22:47 | https://www.reddit.com/r/LocalLLaMA/comments/1q40iez/whats_better_moe_or_dense_models/ | Pleasant-Key3390 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q40iez | false | null | t3_1q40iez | /r/LocalLLaMA/comments/1q40iez/whats_better_moe_or_dense_models/ | false | false | self | 0 | null |
For those of you who are training their own LLM or finetuning an existing LLM, what are you trying to get them to do that they are not already doing? | 7 | I have been curious about finetuning or training an LLM just to learn more about the process and how effective it is. However, I also don't have a great idea on what people mostly train or finetune an LLM to do given that it is currently already so powerful.
If any of you are training your own LLM or finetuning an ... | 2026-01-04T20:12:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q408zz/for_those_of_you_who_are_training_their_own_llm/ | Upset-Ad-8704 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q408zz | false | null | t3_1q408zz | /r/LocalLLaMA/comments/1q408zz/for_those_of_you_who_are_training_their_own_llm/ | false | false | self | 7 | null |
Ratios of Active Parameters to Total Parameters on major MoE models | 54 | |Model|Total Params|Active Params|Ratio|
:--|:--|:--|:--|
|GLM 4.5 Air|106|12|8.8|
|GLM 4.6 and 4.7|355|32|11.0|
|GPT OSS 20B|21|3.6|5.8|
|GPT OSS 120B|117|5.1|22.9|
|Qwen3 30B A3B|30|3|10|
|Qwen3 Next 80B A3B|80|3|26.7|
|Qwen3 235B A22B|235|22|10.7|
|Deepseek 3.2|685|37|18.5|
|MiniMax M2.1|230|10|23.0|
|Kimi K2|1000|3... | 2026-01-04T20:05:05 | https://www.reddit.com/r/LocalLLaMA/comments/1q401ka/ratios_of_active_parameters_to_total_parameters/ | dtdisapointingresult | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q401ka | false | null | t3_1q401ka | /r/LocalLLaMA/comments/1q401ka/ratios_of_active_parameters_to_total_parameters/ | false | false | self | 54 | null |
How do guardrails work with Local LLMs? | 0 | For (probably) good reasons, many commercial LLMs currently have guardrails/safeguards in place. For example, it may be difficult to get an answer for things like:
Help me write some code to scrape Twitter
Help me reverse engineer Instagram's mobile API
The reason given is along the lines of:
"I need to slow ... | 2026-01-04T19:48:21 | https://www.reddit.com/r/LocalLLaMA/comments/1q3zl8a/how_do_guardrails_work_with_local_llms/ | Upset-Ad-8704 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3zl8a | false | null | t3_1q3zl8a | /r/LocalLLaMA/comments/1q3zl8a/how_do_guardrails_work_with_local_llms/ | false | false | self | 0 | null |
Best memory strategy for long-form NSFW/Erotic RP: Raw context vs. Summarization vs. MemGPT? | 26 | **I’m experimenting with a dedicated LLM bot for writing long-form erotic stories and roleplay, and I’m hitting the classic context wall. I’m curious about what the community finds most effective for maintaining "the heat" and prose quality over long sessions.**
**Which approach yields better results in your experienc... | 2026-01-04T19:48:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q3zl67/best_memory_strategy_for_longform_nsfwerotic_rp/ | FollowingFresh6411 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3zl67 | false | null | t3_1q3zl67 | /r/LocalLLaMA/comments/1q3zl67/best_memory_strategy_for_longform_nsfwerotic_rp/ | false | false | nsfw | 26 | null |
Good article on training vs inference architectures for data center compute (and why Groq for Nvidia) | 3 | 2026-01-04T19:34:53 | https://venturebeat.com/infrastructure/inference-is-splitting-in-two-nvidias-usd20b-groq-bet-explains-its-next-act | Mental-At-ThirtyFive | venturebeat.com | 1970-01-01T00:00:00 | 0 | {} | 1q3z89v | false | null | t3_1q3z89v | /r/LocalLLaMA/comments/1q3z89v/good_article_on_training_vs_inference/ | false | false | default | 3 | null | |
FLUX.2-dev-Turbo is surprisingly good at image editing | 92 | Getting excellent results, FAL really cooked with this FLUX.2 \[dev\] LoRA: [https://huggingface.co/fal/FLUX.2-dev-Turbo](https://huggingface.co/fal/FLUX.2-dev-Turbo)
The speed and cost (**only 8 inference steps!**) of it makes it very competitive with closed models. Perfect for daily creative workflow and local use. | 2026-01-04T19:20:47 | https://v.redd.it/os8k650sudbg1 | paf1138 | /r/LocalLLaMA/comments/1q3yug4/flux2devturbo_is_surprisingly_good_at_image/ | 1970-01-01T00:00:00 | 0 | {} | 1q3yug4 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/os8k650sudbg1/DASHPlaylist.mpd?a=1770276054%2CN2FiMjMwODIzMTMxZDY0MGU2MGZhZTk0MDMwM2I1N2IyNmNmNzZjMmNmZjYzOTkzZWFmMGZlYzQ5Y2IyY2QwNg%3D%3D&v=1&f=sd', 'duration': 26, 'fallback_url': 'https://v.redd.it/os8k650sudbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q3yug4 | /r/LocalLLaMA/comments/1q3yug4/flux2devturbo_is_surprisingly_good_at_image/ | false | false | 92 | {'enabled': False, 'images': [{'id': 'dmN0aGFnMHN1ZGJnMWhQRIGbuygHvibzarhf8EVUxtFTiMplyPAlWNfH6-Zg', 'resolutions': [{'height': 77, 'url': 'https://external-preview.redd.it/dmN0aGFnMHN1ZGJnMWhQRIGbuygHvibzarhf8EVUxtFTiMplyPAlWNfH6-Zg.png?width=108&crop=smart&format=pjpg&auto=webp&s=0d90cd104cd8e0345c7c97169dd2a5c8b671a... | |
I built a Client-Side RPG Engine using Gemini 3 and Local Embeddings (Xenova). Here is the source code for the "Memory" system. | 0 | 2026-01-04T19:02:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q3ycd5/i_built_a_clientside_rpg_engine_using_gemini_3/ | The_Greywake | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3ycd5 | false | null | t3_1q3ycd5 | /r/LocalLLaMA/comments/1q3ycd5/i_built_a_clientside_rpg_engine_using_gemini_3/ | false | false | 0 | null | ||
I built a local GUI for vector DBs (pgvector, Qdrant, Chroma, Milvus, Weaviate) | 14 | 👋 Hey everyone,
I’ve been working a lot with vector databases in local and self-hosted setups, and I kept missing a good way to actually inspect what’s inside the vector store without spinning up notebooks or writing scripts.
Most tools are cloud-first or tied to a single provider, so I started building **VectorDBZ*... | 2026-01-04T18:33:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q3xl42/i_built_a_local_gui_for_vector_dbs_pgvector/ | snirjka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3xl42 | false | null | t3_1q3xl42 | /r/LocalLLaMA/comments/1q3xl42/i_built_a_local_gui_for_vector_dbs_pgvector/ | false | false | self | 14 | null |
Agentically compare OCR outputs of Unstructured, LlamaParse, Reducto, etc. side-by-side | 2 | High-quality OCR / document parsing is essential to build high-quality agents that can reason over all kinds of unstructured data.
And, when it comes to OCR, there is seldom a one-size-fits-all solution, and I often felt the need to compare the outputs of multiple providers, right where I'm working.
So, I added to my... | 2026-01-04T18:32:56 | https://v.redd.it/nmf3ozh2mdbg1 | Ok-Introduction354 | /r/LocalLLaMA/comments/1q3xkc3/agentically_compare_ocr_outputs_of_unstructured/ | 1970-01-01T00:00:00 | 0 | {} | 1q3xkc3 | false | null | t3_1q3xkc3 | /r/LocalLLaMA/comments/1q3xkc3/agentically_compare_ocr_outputs_of_unstructured/ | false | false | 2 | {'enabled': False, 'images': [{'id': 'ZjFsYTU2aTJtZGJnMUnOKitAub579gwskaiBihwUYWSuVJOJXkFeFjCudHxm', 'resolutions': [{'height': 50, 'url': 'https://external-preview.redd.it/ZjFsYTU2aTJtZGJnMUnOKitAub579gwskaiBihwUYWSuVJOJXkFeFjCudHxm.png?width=108&crop=smart&format=pjpg&auto=webp&s=16a5886fb6e7c12ec12f4a84a4b0462499357... | |
Selling Lambda credits | 0 | I still have lots of credits on Lambda (>$7000) which I don't need anymore, this is why I am selling the credits on my Lambda account, if anyone is interested please reach out to me via DM. (GH200 is available for $1.49 on Lambda) | 2026-01-04T18:10:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q3wypn/selling_lambda_credits/ | CyberneticCentaur | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3wypn | false | null | t3_1q3wypn | /r/LocalLLaMA/comments/1q3wypn/selling_lambda_credits/ | false | false | self | 0 | null |
12 Different Sites That Will Help Professionals Up Their Skills And Make More Income. | 1 | [removed] | 2026-01-04T18:03:17 | https://newsaffairng.com/2024/06/14/12-different-sites-that-will-help-professionals-up-their-skills-and-make-more-income/ | Jonnysinsey | newsaffairng.com | 1970-01-01T00:00:00 | 0 | {} | 1q3wrt6 | false | null | t3_1q3wrt6 | /r/LocalLLaMA/comments/1q3wrt6/12_different_sites_that_will_help_professionals/ | false | false | default | 1 | null |
HuggingFace, how have you done it? | 0 | Seriously - how did you pick or build the one CDN in the world that completely breaks HTTPS transfers? I know you're pushing your xet protocol for whatever reason but I work on a bunch of integrations behind corporate firewalls and that's a no-go. It is so bizarre that I have to run wget --continue in a loop *only* wit... | 2026-01-04T18:02:26 | https://www.reddit.com/r/LocalLLaMA/comments/1q3wqzm/huggingface_how_have_you_done_it/ | HollowInfinity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3wqzm | false | null | t3_1q3wqzm | /r/LocalLLaMA/comments/1q3wqzm/huggingface_how_have_you_done_it/ | false | false | self | 0 | null |
Gen-AI Security | 4 | Hi All,
My this GitHub repo has comprehensive guide and sample code for gen-ai security topics.
[https://github.com/meetrais/genai-security](https://github.com/meetrais/genai-security)
Cheers | 2026-01-04T17:42:43 | https://www.reddit.com/r/LocalLLaMA/comments/1q3w7pw/genai_security/ | meetrais | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3w7pw | false | null | t3_1q3w7pw | /r/LocalLLaMA/comments/1q3w7pw/genai_security/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'xU0hz_BDkdBHL3pAL-bfsTNtgZRIWFBkeayraOR4xjo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xU0hz_BDkdBHL3pAL-bfsTNtgZRIWFBkeayraOR4xjo.png?width=108&crop=smart&auto=webp&s=b8b28fed7a21471f2eb8b0497971800d489f99f9', 'width': 108}, {'height': 108, 'url': 'h... |
Multi use tools for free | 1 | 2026-01-04T17:31:15 | https://video.a2e.ai/?coupon=cqkS | Lost_Fig_816 | video.a2e.ai | 1970-01-01T00:00:00 | 0 | {} | 1q3vweg | false | null | t3_1q3vweg | /r/LocalLLaMA/comments/1q3vweg/multi_use_tools_for_free/ | false | false | default | 1 | null | |
A2E AI | 1 | 2026-01-04T17:29:38 | https://video.a2e.ai/?coupon=cqkS | Lost_Fig_816 | video.a2e.ai | 1970-01-01T00:00:00 | 0 | {} | 1q3vuse | false | null | t3_1q3vuse | /r/LocalLLaMA/comments/1q3vuse/a2e_ai/ | false | false | default | 1 | null | |
A2E superb | 1 | 2026-01-04T17:29:02 | https://video.a2e.ai/?coupon=cqkS | Lost_Fig_816 | video.a2e.ai | 1970-01-01T00:00:00 | 0 | {} | 1q3vu81 | false | null | t3_1q3vu81 | /r/LocalLLaMA/comments/1q3vu81/a2e_superb/ | false | false | nsfw | 1 | null | |
Need help testing an app I wrote for the DGX Spark | 1 | Hi All! I have beating the hell out of my sparks for a couple of months now, and was curious about data not presented in the Nvidia Dashboards. I wrote a TOP like program to show Memory, Disk, CPU and GPU usage, frequency and power draw, as well as network and disk IO in a simple terminal app.
I have put it as open so... | 2026-01-04T17:26:36 | https://www.reddit.com/r/LocalLLaMA/comments/1q3vrr3/need_help_testing_an_app_i_wrote_for_the_dgx_spark/ | maxvampAI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3vrr3 | false | null | t3_1q3vrr3 | /r/LocalLLaMA/comments/1q3vrr3/need_help_testing_an_app_i_wrote_for_the_dgx_spark/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'V2wfKt2dek9NuRkdZj46_5C0X2AvEx-Oq8EJt7B_c2s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/V2wfKt2dek9NuRkdZj46_5C0X2AvEx-Oq8EJt7B_c2s.png?width=108&crop=smart&auto=webp&s=b2535803c2972a8f2d987c4b8a0452438369df73', 'width': 108}, {'height': 108, 'url': 'h... |
Anyone using Context7 MCP to avoid outdated docs in Claude? | 0 | I’ve been running into the same issue repeatedly when using Claude for coding:
the model knows the concept, but the docs it references are slightly outdated or version mismatched.
Context7 MCP seems to solve this by pulling documentation directly from official sources instead of relying on training data.
I’ve seen a... | 2026-01-04T17:24:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q3vq03/anyone_using_context7_mcp_to_avoid_outdated_docs/ | Silver-Photo2198 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3vq03 | false | null | t3_1q3vq03 | /r/LocalLLaMA/comments/1q3vq03/anyone_using_context7_mcp_to_avoid_outdated_docs/ | false | false | self | 0 | null |
why "safe" ai is actually a security risk for devs | 1 | [removed] | 2026-01-04T16:56:04 | https://www.reddit.com/r/LocalLLaMA/comments/1q3uy8v/why_safe_ai_is_actually_a_security_risk_for_devs/ | Immediate_Being_3341 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3uy8v | false | null | t3_1q3uy8v | /r/LocalLLaMA/comments/1q3uy8v/why_safe_ai_is_actually_a_security_risk_for_devs/ | false | false | self | 1 | null |
I stress-tested ChatGPT, Claude, DeepSeek, and Grok with Thai cultural reality. All four prioritized RLHF rewards over factual accuracy. [Full audit + logs] | 0 | **TL;DR:** I'm Thai. I tested 4 major AI models with a simple
cultural fact: In Thailand, Kathoey are a third gender category
(not "trans women," not "men"). All four models initially erased
this reality to fit Western gender binary. When challenged, all
admitted error. **This isn't about identity politics it's ab... | 2026-01-04T16:43:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q3umv0/i_stresstested_chatgpt_claude_deepseek_and_grok/ | Eastern-Turn9275 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3umv0 | false | null | t3_1q3umv0 | /r/LocalLLaMA/comments/1q3umv0/i_stresstested_chatgpt_claude_deepseek_and_grok/ | false | false | self | 0 | null |
766ms voice assistant on DGX Spark - VibeVoice + Whisper + Ollama streaming pipeline | 22 | Just got Microsoft's new VibeVoice-Realtime TTS running on DGX Spark with full GPU acceleration. Sharing the setup since I couldn't find any guides for this. I know the issues about running interference on Spark, not the point of this post.
### The Numbers
| Metric | Before | After |
|--------|--------|-------|
| Ti... | 2026-01-04T16:42:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q3uliz/766ms_voice_assistant_on_dgx_spark_vibevoice/ | logos_flux | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3uliz | false | null | t3_1q3uliz | /r/LocalLLaMA/comments/1q3uliz/766ms_voice_assistant_on_dgx_spark_vibevoice/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'b6L5OaKFEKKY5ZmmwTETJqvWDhMoOzHJXq0-A-7C8BA', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/b6L5OaKFEKKY5ZmmwTETJqvWDhMoOzHJXq0-A-7C8BA.jpeg?width=108&crop=smart&auto=webp&s=77d9478f11630bbc21bcfe1550744635075cffef', 'width': 108}, {'height': 162, 'url': '... |
Avahan AI, simple temporal workflow wrapper! | 0 | [https://github.com/projectxr/avahan](https://github.com/projectxr/avahan) | 2026-01-04T16:41:43 | https://www.reddit.com/r/LocalLLaMA/comments/1q3ukv2/avahan_ai_simple_temporal_workflow_wrapper/ | AdDifferent6857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3ukv2 | false | null | t3_1q3ukv2 | /r/LocalLLaMA/comments/1q3ukv2/avahan_ai_simple_temporal_workflow_wrapper/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'y-wk_YaY4kQE9WgSJik6ly_JMNOQZcBymHezULFx-SA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/y-wk_YaY4kQE9WgSJik6ly_JMNOQZcBymHezULFx-SA.png?width=108&crop=smart&auto=webp&s=d3c8b9ebffb5aeb91d1591b66f7ac116d1b9fa41', 'width': 108}, {'height': 108, 'url': 'h... |
Avahan code leak :) | 1 | [https://github.com/projectxr/avahan](https://github.com/projectxr/avahan) | 2026-01-04T16:40:32 | https://www.reddit.com/r/LocalLLaMA/comments/1q3ujq6/avahan_code_leak/ | AdDifferent6857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3ujq6 | false | null | t3_1q3ujq6 | /r/LocalLLaMA/comments/1q3ujq6/avahan_code_leak/ | false | false | self | 1 | null |
I built a tool to audit local models (Ollama/vLLM) for security and hallucinations using Garak & InspectAI | 0 | Hey everyone,
Like many of you, I have a bunch of Ollama models running locally, but I never really know how "safe" or reliable they are compared to the big cloud models. I wanted a way to stress-test them without setting up complex evaluation pipelines every time.
So I built **LocalGuard** hopping to "learn" and "ex... | 2026-01-04T16:30:51 | https://www.reddit.com/r/LocalLLaMA/comments/1q3uanv/i_built_a_tool_to_audit_local_models_ollamavllm/ | Equal-Object-9882 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3uanv | false | null | t3_1q3uanv | /r/LocalLLaMA/comments/1q3uanv/i_built_a_tool_to_audit_local_models_ollamavllm/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'hIBbx_4_t05v3ZidaJo0jyxa9gcD76v_SBQfI9ZwkT0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/hIBbx_4_t05v3ZidaJo0jyxa9gcD76v_SBQfI9ZwkT0.png?width=108&crop=smart&auto=webp&s=a52533d5dffa726c1d5cb7cd28cea0cb82c3ff70', 'width': 108}, {'height': 108, 'url': 'h... |
HomeGenie v2.0: 100% Local Agentic AI (Sub-5s response on CPU, No Cloud) | 38 | Hi everyone! I’ve been working on HomeGenie 2.0, focusing on bringing "Agentic AI" to the edge.
Unlike standard dashboards, it integrates a local neural core (Lailama) that uses LLamaSharp to run GGUF models (Qwen 3, Llama 3.2, etc.) entirely offline.
Key technical bits:
- **Autonomous Reasoning:** It's not just a ch... | 2026-01-04T16:28:19 | https://v.redd.it/m40jjx610dbg1 | genielabs | /r/LocalLLaMA/comments/1q3u89f/homegenie_v20_100_local_agentic_ai_sub5s_response/ | 1970-01-01T00:00:00 | 0 | {} | 1q3u89f | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/m40jjx610dbg1/DASHPlaylist.mpd?a=1770265704%2CZjcxNjljNzUyMmNhNmYwMTA5ODI5YzM2Y2NmODFiZGFmYmRlYTI0MmY0YWYxNzc1OGUzMDFkMzYzMzM2ZmM1Mg%3D%3D&v=1&f=sd', 'duration': 93, 'fallback_url': 'https://v.redd.it/m40jjx610dbg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q3u89f | /r/LocalLLaMA/comments/1q3u89f/homegenie_v20_100_local_agentic_ai_sub5s_response/ | false | false | 38 | {'enabled': False, 'images': [{'id': 'aXVic3Z5NTEwZGJnMX-wuN5UqDYSq_G1PvG8gD6oltW7ZDgAnY8CDzv70t9I', 'resolutions': [{'height': 55, 'url': 'https://external-preview.redd.it/aXVic3Z5NTEwZGJnMX-wuN5UqDYSq_G1PvG8gD6oltW7ZDgAnY8CDzv70t9I.png?width=108&crop=smart&format=pjpg&auto=webp&s=c489e4b89d33be6eabb05fea00327b709a078... | |
Are you that old...? | 42 | 2026-01-04T15:50:41 | https://www.reddit.com/gallery/1q3t9cw | jacek2023 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q3t9cw | false | null | t3_1q3t9cw | /r/LocalLLaMA/comments/1q3t9cw/are_you_that_old/ | false | false | 42 | null | ||
LLM memory systems | 25 | What is good in LLM memory systems these days?
I don’t mean RAG
I mean like memory storage that an LLM can read or write to, or long-term memory that persists across generations
Has anyone seen any interesting design patterns or github repos? | 2026-01-04T15:48:40 | https://www.reddit.com/r/LocalLLaMA/comments/1q3t7go/llm_memory_systems/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3t7go | false | null | t3_1q3t7go | /r/LocalLLaMA/comments/1q3t7go/llm_memory_systems/ | false | false | self | 25 | null |
Wich vison model for technical design? | 1 | Wich model is better to extract dimension and doing task on technical design? Es cnc design | 2026-01-04T15:33:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q3str7/wich_vison_model_for_technical_design/ | Aggressive-Buddy-639 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3str7 | false | null | t3_1q3str7 | /r/LocalLLaMA/comments/1q3str7/wich_vison_model_for_technical_design/ | false | false | self | 1 | null |
Propagate: Train thinking models using evolutionary strategies! | 82 | Recently, this paper released:
[https://arxiv.org/abs/2509.24372](https://arxiv.org/abs/2509.24372)
And showed that with only 30 random gaussian perturbations, you can accurately approximate a gradient and outperform GRPO on RLVR tasks. They found zero overfitting, and training was significantly faster because you d... | 2026-01-04T15:17:42 | https://www.reddit.com/gallery/1q3sfr1 | Good-Assumption5582 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q3sfr1 | false | null | t3_1q3sfr1 | /r/LocalLLaMA/comments/1q3sfr1/propagate_train_thinking_models_using/ | false | false | default | 82 | null |
I subscribe to ChatGPT, Claude, Perplexity, and run local LLMs. Here is why I still downgraded Gemini from Ultra to Advanced. | 0 | *(Disclaimer: I had a deep discussion with Gemini 3 Pro about the current state of Google's AI. I asked it to summarize my frustrations and write this post. Yes, even the AI agrees with me.)*
I don't consider myself an extreme "Heavy User," but I do test and use a wide range of LLMs for my daily workflow (mostly admin... | 2026-01-04T15:16:42 | https://www.reddit.com/r/LocalLLaMA/comments/1q3seux/i_subscribe_to_chatgpt_claude_perplexity_and_run/ | Low_Contribution3706 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3seux | false | null | t3_1q3seux | /r/LocalLLaMA/comments/1q3seux/i_subscribe_to_chatgpt_claude_perplexity_and_run/ | false | false | self | 0 | null |
Will the prices of GPUs go up even more? | 45 | I hear discussions about this so I wanted to hear your guys take on it | 2026-01-04T14:57:45 | https://www.reddit.com/r/LocalLLaMA/comments/1q3ryd7/will_the_prices_of_gpus_go_up_even_more/ | NotSoCleverAlternate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3ryd7 | false | null | t3_1q3ryd7 | /r/LocalLLaMA/comments/1q3ryd7/will_the_prices_of_gpus_go_up_even_more/ | false | false | self | 45 | null |
What is the best Local Model for unmoderated chat in 2026? | 0 | As the title suggests, whats the best Local Model for unfiltered chat in 2026?
For use on a macbook air M2 with 16GB RAM. | 2026-01-04T14:55:09 | https://www.reddit.com/r/LocalLLaMA/comments/1q3rw6g/what_is_the_best_local_model_for_unmoderated_chat/ | Substantial_Cress136 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3rw6g | false | null | t3_1q3rw6g | /r/LocalLLaMA/comments/1q3rw6g/what_is_the_best_local_model_for_unmoderated_chat/ | false | false | self | 0 | null |
How are Large Computational Engineering Models (like Noyron by LEAP 71) actually structured, if they’re not ML/AI? | 4 |
Ive been reading about Noyron, the proprietary system developed by LEAP 71, which they describe as a Large Computational Engineering Model that “grows in capability with every insight gained from designing and manufacturing complex machinery.
From what I understand, Noyron is not a machine learning system in the con... | 2026-01-04T14:48:35 | https://www.reddit.com/r/LocalLLaMA/comments/1q3rqn1/how_are_large_computational_engineering_models/ | Skirrle | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q3rqn1 | false | null | t3_1q3rqn1 | /r/LocalLLaMA/comments/1q3rqn1/how_are_large_computational_engineering_models/ | false | false | self | 4 | null |
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