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Squish42/WizardLM-7B-Uncensored-GPTQ-act_order-8bit
WizardLM-7B-Uncensored-GPTQ-act_order-8bit is a text generation model from Squish42. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as unknown.
ehartford/WizardLM-7B-Uncensored quantized to 8bit GPTQ with act order + true sequential, no group size.
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From the Hugging Face model README
ehartford/WizardLM-7B-Uncensored quantized to 8bit GPTQ with act order + true sequential, no group size.
For most uses this probably isn't what you want.
For 4bit with no act order or compatibility with old-cuda (text-generation-webui default) see TheBloke/WizardLM-7B-uncensored-GPTQ
Quantized using AutoGPTQ with the following config:
config: dict = dict(
quantize_config=dict(bits=8, desc_act=True, true_sequential=True, model_file_base_name='WizardLM-7B-Uncensored'),
use_safetensors=True
)
See quantize.py for the full script.
Tested for compatibility with:
triton branch.cuda (triton deselected)AutoGPTQ loader should read configuration from quantize_config.json.
For GPTQ-for-Llama use the following configuration when loading:
wbits: 8
groupsize: None
model_type: llama