VPTQ-community/Qwen2.5-32B-Instruct-v8-k256-256-woft

Disclaimer:

The model is reproduced based on the paper VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models github and arXiv

The model itself is sourced from a community release.

It is intended only for experimental purposes.

Users are responsible for any consequences arising from the use of this model.

Note:

The PPL test results are for reference only and were collected using GPTQ testing script.

{
    "ctx_2048": {
        "wikitext2": 8.105308532714844
    },
    "ctx_4096": {
        "wikitext2": 7.68587064743042
    },
    "ctx_8192": {
        "wikitext2": 7.640172004699707
    }
}