metadata
library_name: vllm
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
inference: false
extra_gated_description: >-
If you want to learn more about how we process your personal data, please read
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
tags:
- vllm
- mistral-common
- mlx
- mlx-my-repo
SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit
The Model SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit was converted to MLX format from mistralai/Mistral-7B-Instruct-v0.3 using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)