language, library_name, pipeline_tag, license, model_type, datasets, base_model, tags

language	library_name	pipeline_tag	license	model_type	datasets	base_model	tags
en ja	mlx	text-generation	llama3.3 gemma	llama	tokyotech-llm/lmsys-chat-1m-synth lmsys/lmsys-chat-1m	tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.5	mlx

mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5

This model mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5 was converted to MLX format from tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.5 using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5")

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)