Here's a decent report about all the local models that people should be trying out on various machines.
LLMS
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Model Analysis Guide for Local Deployment
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Here's the model analysis you need to figure out which local model to run on it.
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Error-Entropy Scaling Law Surpasses Traditional Cross-Entropy for LLM Development
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Is the fundamental scaling law guiding large language model development broken? Researchers from Tsinghua University have found the answer. They've decomposed cross-entropy loss into three components: Error-Entropy, Self-Alignment, and Confidence, finding that only Error-Entropy truly scales with model size. This new "Error-Entropy scaling law" provides a far more accurate guide for LLM development, outperforming the traditional cross-entropy law, especially for the largest models. Crucial for future AI design. What Scales in Cross-Entropy Scaling Law? Paper: arxiv.org/abs/2510.04067 Code: github.com/yanjx2021/Rethink… Our report: mp.weixin.qq.com/s/ngn6YY6Aj… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 08:49 UTC
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Radeon 9070XT GPU Setup Guide for LLM Models
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Here is its answer: That's a solid setup — you're leaving a lot on the table with Llama 3.1 8B. Here's what your hardware can actually do: Your specs analyzed:
• Radeon 9070XT 16GB VRAM — RDNA 4, ~640 GB/s bandwidth. This is the key. 16GB VRAM fits most 14B models entirely in -
Kimi K2.5 Hardware Requirements for Local Model Deployment
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It answered with a long post, but concludes: "I missed it because I was focused on models that run well locally. Kimi K2.5 technically runs locally but needs enterprise-class hardware to do so at useful speeds. It's now in the report with a full hardware breakdown."
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Best Local AI Model for Any Computer or Device
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What is the best local model to run on ANY computer or device? My AI answers:
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OpenAI’s GPT-Image-2 model leak surpasses Nano Banana Pro
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OpenAI's new image model GPT-Image-2 has leaked It seems to have extremely good world knowledge and great text rendering Possibly better than Nano Banana Pro It's on @arena under code names:
– maskingtape-alpha
– gaffertape-alpha
– packingtape-alpha -
Testing LLM Models with Hardware Context Size Constraints
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Haven't had the chance to test lately, I'd try Qwen or MiniMax 2.7 or latest Kimi or GML – challenge is context size with that hardware.
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Codex App Server enables custom interfaces with ChatGPT integration
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I want to double down on that. Just ask Codex to build anything you want connecting to the Codex App Server. It’s very self-aware about it, and you can connect Codex to anything and talk to it from any UI you want to build! This is how the whole Codex Monitor thing started! Vaibhav (VB) Srivastav (@reach_vb) ICYMI: you can use your ChatGPT sub with OpenClaw, OpenCode, Pi, Cline and a lot more! Infact you can double down and build your own interfaces on top of the ChatGPT Sub via the Codex App Server too – it’s fully open source Enjoy your Claw & build things you want, when you want — https://nitter.net/reach_vb/status/2040314906180735259#m
→ View original post on X — @romainhuet, 2026-04-04 06:51 UTC