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Huihui-gpt-oss-20b-BF16-abliterated-v2

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huihui-ai commited on Sep 27

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@@ -22,7 +22,7 @@ Please refer to [Quantization-Aware Training (QAT)](https://github.com/NVIDIA/Te
 for fine-tuning and quantization([huihui-ai/Huihui-gpt-oss-20b-mxfp4-abliterated-v2](https://huggingface.co/huihui-ai/Huihui-gpt-oss-20b-mxfp4-abliterated-v2)).
 ## Dataset
-Using huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated to generate a dataset for harmful instructions
 **Advantages**: All core metrics (Loss/Acc/Entropy) improve synchronously, with a small gap between Eval and Train (<0.01), indicating strong generalization ability. Fine-tuning shows effect in just 400 steps, with high efficiency.

 for fine-tuning and quantization([huihui-ai/Huihui-gpt-oss-20b-mxfp4-abliterated-v2](https://huggingface.co/huihui-ai/Huihui-gpt-oss-20b-mxfp4-abliterated-v2)).
 ## Dataset
+Using huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated to generate a dataset for harmful instructions.
 **Advantages**: All core metrics (Loss/Acc/Entropy) improve synchronously, with a small gap between Eval and Train (<0.01), indicating strong generalization ability. Fine-tuning shows effect in just 400 steps, with high efficiency.