FastContext-1.0-4B-SFT-mlx-fp16/README.md

language, license, tags, library_name, base_model

language	license	tags	library_name	base_model
en	mit	Explorer SubAgent Repository Exploration mlx	transformers	microsoft/FastContext-1.0-4B-SFT

usermma/FastContext-1.0-4B-SFT-mlx-fp16

The Model usermma/FastContext-1.0-4B-SFT-mlx-fp16 was converted to MLX format from microsoft/FastContext-1.0-4B-SFT using mlx-lm version 0.31.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("usermma/FastContext-1.0-4B-SFT-mlx-fp16")

prompt = "hello"

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

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