Linux patches introduce "KNOD" for in-kernel network offloading directly to AMD GPUs
This could be big news for those who use multiple computers in a network to run models locally. submitted by /u/Fcking_Chuck [link] [comments]
Latest
It’s coming folks.
submitted by /u/MLExpert000 [link] [comments]
Our 1-bit quant of Hy3 295B runs 2.2x faster than the cloud API with no quality loss
We quantized Tencent's Hy3 295B down to 1 bit and got a 92GB IQ1_M GGUF, small enough for one 4-GPU box. We ran it on 4x…
Trellis.cpp now has a studio!
When Trellis.cpp released, people were rightly complaining that while the port was nice, the usability barrier was still high since you had to navigate the command…
openbmb released MiniCPM5-2B, not yet available at huggingface
According to source, it is the locally ranked AI model, the best among 4b models Source : https://x.com/i/status/2079088670804767114 submitted by /u/Illustrious-Swim9663 [link] [comments]
Thoughts on Qwen 3.7 Max Preview vs Minimax M3 and OpenAI 5.6 Sol
EDIT: I MEANT 3.8 MAX PREVIEW All 3 receives the same prompt injections or per turn system instructions. Both Minimax M3 and OpenAI 5.6 series (Luna…
AI Doomsday Toolbox v0.948 – now with distributed image generation
Heyy, I’ve been working on AI Doomsday Toolbox again, my Android project for running local AI on phones, and I wanted to share the latest version…
No-coding model?
Mostly all of the local models these days are competing for coding benchmarks. Is there any lab that just focuses all of their attention on making…
Kimi K3 just fixed 15 critical security bugs that Codex and Fable refused because of “cyber guardrails”. Hugging Face: We had this experience ourselves this week! Very scary to be guardrailed as a defender when you know attackers are likely bypassing
David Sacks on 𝕏: https://x.com/DavidSacks/status/2078984980588531855 calle on 𝕏: https://x.com/callebtc/status/2078574362316165611 clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2078987852495364398 https://huggingface.co/blog/security-incident-july-2026 submitted by /u/Nunki08 [link] [comments]
Is it possible to run a local model focused solely on "intelligence" and outsource its "knowledge" to web searches?
I'm looking to run a very lightweight local model that acts as the brain, handling the logic and comprehension, while hooking it up to a web…