license, tags, extra_gated_description, base_model, library_name, pipeline_tag

license	tags	extra_gated_description	base_model	library_name	pipeline_tag
apache-2.0	mlx	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>.	mlx-community/Mistral-7B-Instruct-v0.3	mlx	text-generation

asrar7787/mac_mlx_completion_mistral_7b_instruct_v03_sports_lora_layers_16

This model asrar7787/mac_mlx_completion_mistral_7b_instruct_v03_sports_lora_layers_16 was converted to MLX format from mlx-community/Mistral-7B-Instruct-v0.3 using mlx-lm version 0.27.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("asrar7787/mac_mlx_completion_mistral_7b_instruct_v03_sports_lora_layers_16")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)