license, base_model, tags, language, pipeline_tag

license	base_model	tags	language	pipeline_tag
apache-2.0	sweepai/sweep-next-edit-v2-7B	code autocomplete next-edit-prediction dpo mlx mlx-my-repo	en	text-generation

Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16

The Model Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16 was converted to MLX format from sweepai/sweep-next-edit-v2-7B using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Cyanophyte/sweep-next-edit-v2-7B-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)