metadata
library_name: vllm
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
license: apache-2.0
base_model: mistralai/Mistral-Nemo-Instruct-2407
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:
- mistral-common
- mlx
- mlx-my-repo
BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit
The Model BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit was converted to MLX format from mistralai/Mistral-Nemo-Instruct-2407 using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("BlueMoonlight/Mistral-Nemo-Instruct-2407-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)