metadata
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
- mlx
license: llama2
library_name: mlx
base_model: codellama/CodeLlama-7b-Instruct-hf
javiergtzr/CodeLlama-7b-Instruct-hf-4bit
This model javiergtzr/CodeLlama-7b-Instruct-hf-4bit was converted to MLX format from codellama/CodeLlama-7b-Instruct-hf using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("javiergtzr/CodeLlama-7b-Instruct-hf-4bit")
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)