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mlx-community/CodeLlama-7b-Instruct-hf-4bit-mlx-2
CodeLlama-7b-Instruct-hf-4bit-mlx-2 is a text generation model from mlx-community. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as llama2.
As opposed to mlx-community/CodeLlama-7b-Instruct-hf-4bit-MLX, this one is converted from the base model using a newer MLX-LM version which uses newer and improved quantization and generates model in a more standard f…
Downloads · 30 days
32
4% of all-time downloads
All-time downloads
790
Public
Parameters
6.7B
3.8 GB on disk
Likes
1
Public
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.safetensors3.8 GB · 100%
How the weights are stored.
U326.7B · 100%
From the Hugging Face model README
As opposed to mlx-community/CodeLlama-7b-Instruct-hf-4bit-MLX, this one is converted from the base model using a newer MLX-LM version which uses newer and improved quantization and generates model in a more standard format. For context see Issue#130 and PR#114 of the MLX-LM repo.
This model mlx-community/CodeLlama-7b-Instruct-hf-4bit-mlx-2 was converted to MLX format from codellama/CodeLlama-7b-Instruct-hf using mlx-lm version 0.23.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/CodeLlama-7b-Instruct-hf-4bit-mlx-2")
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)