metadata

library_name: mlx
license: other
license_name: lfm1.0
license_link: LICENSE
language:
  - en
  - ar
  - zh
  - fr
  - de
  - ja
  - ko
  - es
pipeline_tag: text-generation
tags:
  - liquid
  - lfm2
  - edge
  - mlx
base_model: LiquidAI/LFM2-1.2B

mlx-community/LFM2-1.2B-4bit

This model mlx-community/LFM2-1.2B-4bit was converted to MLX format from LiquidAI/LFM2-1.2B using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/LFM2-1.2B-4bit")

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)