language, metrics, base_model, library_name, tags, pipeline_tag

language	metrics	base_model	library_name	tags	pipeline_tag
en	accuracy	Menlo/ReZero-v0.1-llama-3.2-3b-it-grpo-250404	mlx	mlx	text-generation

mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16

This model mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16 was converted to MLX format from Menlo/ReZero-v0.1-llama-3.2-3b-it-grpo-250404 using mlx-lm version 0.22.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16")

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)