Modelpublic

arthurcollet/OmniCoder-9B-mlx-mxfp8

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face

5likes260downloads

Model Card

arthurcollet/OmniCoder-9B-mlx-mxfp8

This model arthurcollet/OmniCoder-9B-mlx-mxfp8 was converted to MLX format from Tesslate/OmniCoder-9B using mlx-lm version 0.31.1.

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("arthurcollet/OmniCoder-9B-mlx-mxfp8")

prompt = "hello"

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

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