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MaziyarPanahi/Mistral-7B-Instruct-v0.2-GPTQ
Mistral-7B-Instruct-v0.2-GPTQ is a text generation model from MaziyarPanahi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
MaziyarPanahi/Mistral-7B-Instruct-v0.2-GPTQ is a quantized (GPTQ) version of mistralai/Mistral-7B-Instruct-v0.2
Downloads · 30 days
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.safetensors4.2 GB · 100%
How the weights are stored.
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From the Hugging Face model README
MaziyarPanahi/Mistral-7B-Instruct-v0.2-GPTQ is a quantized (GPTQ) version of mistralai/Mistral-7B-Instruct-v0.2
pip install --upgrade accelerate auto-gptq transformers
from transformers import AutoTokenizer, pipeline
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import torch
model_id = "MaziyarPanahi/Mistral-7B-Instruct-v0.2-GPTQ"
quantize_config = BaseQuantizeConfig(
bits=4,
group_size=128,
desc_act=False
)
model = AutoGPTQForCausalLM.from_quantized(
model_id,
use_safetensors=True,
device="cuda:0",
quantize_config=quantize_config)
tokenizer = AutoTokenizer.from_pretrained(model_id)
pipe = pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
max_new_tokens=512,
temperature=0.7,
top_p=0.95,
repetition_penalty=1.1
)
outputs = pipe("What is a large language model?")
print(outputs[0]["generated_text"])