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