How to use from the
Use from the
MLX library
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("DamienDrash/CodeLlama-70B-Instruct")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

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

DamienDrash/CodeLlama-70B-Instruct

This model was converted to MLX format from codellama/CodeLlama-70b-Instruct-hf. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/DamienDrash/CodeLlama-70B-Instruct --prompt "My name is"
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