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AXERA-TECH/MiniCPM5-2B-GPTQ-Int4
MiniCPM5-2B-GPTQ-Int4 is a machine learning model from AXERA-TECH. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
原始模型:https://huggingface.co/openbmb/MiniCPM5-2B
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From the Hugging Face model README
原始模型:https://huggingface.co/openbmb/MiniCPM5-2B
GPTQ Int4 量化参数:
quantize_config = QuantizeConfig(
method="gptq",
bits=4,
group_size=128,
desc_act=True,
static_groups=True,
sym=True,
act_group_aware=False,
)
以下几个参数是AX650的硬性要求,AX650只支持这种参数的GPTQ模型
bits=4,
static_groups=True,
sym=True,
desc_act=True 打开它有助于提升量化精度。
static_groups 和 act_group_aware是互斥项,不能同时为True。这是GPTQModel 中的量化逻辑决定的。