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MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ
Meta-Llama-3-70B-Instruct-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 other.
MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ is a quantized (GPTQ) version of meta-llama/Meta-Llama-3-70B-Instruct
Downloads · 30 days
42
0% of all-time downloads
All-time downloads
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70.6B
39.8 GB on disk
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.safetensors39.8 GB · 100%
How the weights are stored.
I3268.5B · 97%
From the Hugging Face model README
MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ is a quantized (GPTQ) version of meta-llama/Meta-Llama-3-70B-Instruct
pip install --upgrade accelerate auto-gptq transformers
from transformers import AutoTokenizer, pipeline
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import torch
model_id = "MaziyarPanahi/Meta-Llama-3-70B-Instruct-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"])