license, library_name, tags, pipeline_tag, base_model

license	library_name	tags	pipeline_tag	base_model
apache-2.0	mlx	mlx	text-generation	EssentialAI/rnj-1-instruct

mlx-community/rnj-1-instruct-bfloat16

This model mlx-community/rnj-1-instruct-bfloat16 was converted to MLX format from EssentialAI/rnj-1-instruct using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/rnj-1-instruct-bfloat16")

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)