CallMcMargin/Jungle-Oasis-BRF-MPOA-9B-mlx-bf16-mxfp4-qgroup32-mixed_4_6

This model CallMcMargin/Jungle-Oasis-BRF-MPOA-9B-mlx-bf16-mxfp4-qgroup32-mixed_4_6 was converted to MLX format from Naphula/Jungle-Oasis-BRF-MPOA-9B using mlx-lm version 0.28.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("CallMcMargin/Jungle-Oasis-BRF-MPOA-9B-mlx-bf16-mxfp4-qgroup32-mixed_4_6")

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)