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kaitchup.substack.com

kaitchup.substack.com — Preparing for Qwen4

kaitchup.substack.com is Preparing for Qwen4. It is ranked #3292 on the AI Radar, in Open & local models, first seen 10 days ago and shared in 2 posts (4.6k views).

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Statistically Lossless Qwen3.8 27B GGUFs and Experiments with Faster GGUF Inference in vLLM The Kaitchup – AI on a Budget Subscribe Sign in Statistically Lossless Qwen3.8 27B GGUFs and Experiments with Faster GGUF Inference in vLLM Preparing for Qwen4 Benjamin Marie Oct 27, 2026 ∙ Paid Share Last week, I released my first statistically lossless quantizations of Qwen3.8 27B . Introducing Statistically-Lossless Quantization for Qwen3.8 27B: better fidelity and up to 23% smaller than FP8 Benjamin Marie · Oct 24 Read full story The goal: smaller models with higher EAR (Expected Acceptance Rate) than the official FP8 release. EAR measures how…

What people said about kaitchup.substack.com on X

Here they are: Statistically Lossless GGUFs for Qwen3.8 27B They are better and smaller than the SLQ models I published last week: https://huggingface.co/kaitchup/Qwen3.8-27B-SLQ-GGUF Based on Unsloth's UD GGUFs, so 99% of the hard work was already done. The SLQ method: https://github.com/IST-DASLab/SLQ More details,…

— @bnjmn_marie, 10 days ago · 95 likes · see the post

This is the new version of finding the optimal error correcting codes. Should we just use similar techniques and start thinking about this in hamming distance?

— @TheDavidTai, 10 days ago · 1 likes · see the post

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Preparing for Qwen4 It was first shared on X 10 days ago and is ranked #3292 on the AI Radar.

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2 accounts on X, including @bnjmn_marie, @TheDavidTai, in 2 posts totalling 4.6k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.