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Currently having high success with this little niche finetune i found sitting in the corner of huggingface

AI 摘要

A user on reddit.com reported high success with a niche finetuned model found on Hugging Face. They recommended a smaller quantization, iq3_s, for use in codebases. The original model is VeriLoop-E2-GGUF from tsinghua-sigs-robot-lab, and the finetuned version is VeriLoop-E2-GSQ-RCO-GGUF by tahaalam2009.

为什么是这条

This report highlights a specific finetuned model, VeriLoop-E2-GSQ-RCO-GGUF, and its recommended iq3_s quantization, unlike general discussions of model performance.

时间与来源

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发布当时偏移:UTC+02026年10月8日 19:47 UTC

收录当时偏移:UTC+02026年10月9日 09:00 UTC

发布
2026年10月8日 19:47
收录
2026年10月9日 09:00
来源类型
开发者社区
档位
社区
信源状态
正常

档位是按信源手工设定的编辑判断,不是逐条打分。

If you want to try it out here is a smaller quantisation iq3_s works really well in my codebases.

来源·reddit.com