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LsTam/
Mistral-7B-Instruct-v0.2-8bit

Name: Mistral-7B-Instruct-v0.2-8bit
Rating: 2.5 (11 reviews)

text-generation-inference

endpoints_compatible

8-bit

bitsandbytes

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Model Card for Mistral-7B-Instruct-v0.2-8bit

The Mistral-7B-Instruct-v0.2-8bit is a 8bit quantize version with torch_dtype=torch.float16, I just load in 8bit and push here Mistral-7B-Instruct-v0.2.

For full details of this model please read our paper and release blog post.

python

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "mistralai/Mistral-7B-Instruct-v0.2"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    load_in_8bit=True,
    use_flash_attention_2=True,
    torch_dtype=torch.float16,
    )

model.push_to_hub("LsTam/Mistral-7B-Instruct-v0.2-8bit")

To use it:

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tok_name = "mistralai/Mistral-7B-Instruct-v0.2"
model_name = "LsTam/Mistral-7B-Instruct-v0.2-8bit"

tokenizer = AutoTokenizer.from_pretrained(tok_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    use_flash_attention_2=True,
    )