README.md

metadata

base_model: gradientai/Llama-3-8B-Instruct-Gradient-4194k
language:
  - en
license: llama3
pipeline_tag: text-generation
tags:
  - meta
  - llama-3
  - mlx

mlx-community/gradientai_Llama-3-8B-Instruct-Gradient-4194k_4bit

The Model mlx-community/gradientai_Llama-3-8B-Instruct-Gradient-4194k_4bit was converted to MLX format from gradientai/Llama-3-8B-Instruct-Gradient-4194k using mlx-lm version 0.19.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gradientai_Llama-3-8B-Instruct-Gradient-4194k_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)