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Behemoth-X-123B-v2-W4A16-AutoRound
hoborific/Behemoth-X-123B-v2-W4A16-AutoRound
Behemoth-X-123B-v2-W4A16-AutoRound is a machine learning model from hoborific. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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17.2B
64.9 GB on disk
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.safetensors64.9 GB · 100%
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How the weights are stored.
I3215.3B · 90%
Base models
Model card
From the Hugging Face model README
4-bit quant using Intel AutoRound
This is the default W4A16 scheme.
Quantization Details
at time of quantization, the default implied values not listed in the below json are as follows:
{"batch_size": 8, "iters": 200, "seqlen": 2048, "nsamples": 128, "lr": None}
quantization_config.json
{
"bits": 4,
"group_size": 128,
"sym": true,
"data_type": "int",
"low_gpu_mem_usage": true,
"autoround_version": "0.9.3",
"quant_method": "auto-round",
"packing_format": "auto_round:auto_gptq"
}
- Type
- mistral
- Created
- Dec 13, 2025
- Updated
- Dec 14, 2025