ModelCloud / Mistral-Large-Instruct-2407-gptq-4bit

huggingface.co
Total runs: 483
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 26 2024
text-generation

Introduction of Mistral-Large-Instruct-2407-gptq-4bit

Model Details of Mistral-Large-Instruct-2407-gptq-4bit

This model has been quantized using GPTQModel .

  • bits : 4
  • group_size : 128
  • desc_act : true
  • static_groups : false
  • sym : true
  • lm_head : false
  • damp_percent : 0.0025
  • true_sequential : true
  • model_name_or_path : ""
  • model_file_base_name : "model"
  • quant_method : "gptq"
  • checkpoint_format : "gptq"
  • meta :
    • quantizer : "gptqmodel:0.9.9-dev0"

Here is an example:

from transformers import AutoTokenizer
from gptqmodel import GPTQModel

model_name = "ModelCloud/Mistral-Large-Instruct-2407-gptq-4bit"

prompt = [{"role": "user", "content": "I am in Shanghai, preparing to visit the natural history museum. Can you tell me the best way to"}]

tokenizer = AutoTokenizer.from_pretrained(model_name)

model = GPTQModel.from_quantized(model_name)

input_tensor = tokenizer.apply_chat_template(prompt, add_generation_prompt=True, return_tensors="pt")
outputs = model.generate(input_ids=input_tensor.to(model.device), max_new_tokens=100)
result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)

print(result)

Runs of ModelCloud Mistral-Large-Instruct-2407-gptq-4bit on huggingface.co

483
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About Mistral-Large-Instruct-2407-gptq-4bit huggingface.co Model

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Mistral-Large-Instruct-2407-gptq-4bit install

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