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": 8.14321517944336
    },
    "ctx_4096": {
        "wikitext2": 7.652594089508057
    },
    "ctx_8192": {
        "wikitext2": 7.230789661407471
    }
}
Downloads last month
6
Safetensors
Model size
24B params
Tensor type
BF16
·
I32
·
I16
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model's library.

Model tree for VPTQ-community/Meta-Llama-3.1-405B-Instruct-v16-k65536-256-woft

Quantized
(29)
this model

Collection including VPTQ-community/Meta-Llama-3.1-405B-Instruct-v16-k65536-256-woft