LLMs
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Large language models are machine learning models trained to predict and generate text and other language-based outputs.
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Intel LLM-Scaler Ready With Muse Glimmer Support, Other LLMs & Features
Intel's LLM-Scaler project that was born out of their Project Battlematrix initiative aims to make it easier to run generative AI on Arc (Pro) B-Series graphics cards with the likes of vLLM, ComfyUI,
These 4 self-hosted LLMs run surprisingly well on integrated graphics
Integrated graphics handled these local AI models better than expected.
What 'distilling' an AI model actually means and why it matters to self-hosting open LLMs
Distillation gives us access to better models.
Adjacent signals
Latest from topics that share context with LLMs — parents, siblings, descendants.
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Qwen3.8-27B: slower tokens, faster and better results
submitted by /u/surreal_tournament to r/LocalLLaMA [link] [comments]
Running DeepSeek V4 Flash Q4_K_XL at ~100 tok/s prompt processing on 4× RTX 3060 12GB
I managed to run the 143–144 GiB DeepSeek-V4-Flash-0731 UD-Q4_K_XL GGUF on four RTX 3060 12GB cards while keeping a 360k–376k context window. Hardware: CPU: Intel Core i9-10920X, 12C/24T RAM: 128 GB DDR4-3200, quad-chann…
If the weights never change, is it really recursive self-improvement?
https://preview.redd.it/e0ydm43a55kh1.png?width=2902&format=png&auto=webp&s=8c9b88ff5e4157811e8996ba5a1e96cc55c8ae6a This paper is using a much narrower definition of recursive self-improvement than the phrase usually su…
Is Ling 3 tiny underrated for its size?
I was checking out benchmarks of this model and apparantly better than Qwen3.5 9b reasoning across the bench on artificial analysis. I have used the 9b model for variety of stuff and it has been amazing, but if this is b…
What sandbox are you all using for AI agents?
Hi everyone, I use AI agents to code and manage my personal files heavily. However, I am worried that the agents may accidentally delete some important files on my machine, outside of the defined scope. I am wondering wh…