README.md

metadata

license: mit
license_link: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
tags:
  - chat
  - bitnet
  - text-generation
  - large-language-model
  - mlx
library_name: mlx
base_model: microsoft/bitnet-b1.58-2B-4T

mlx-community/bitnet-b1.58-2B-4T-8bit

This model mlx-community/bitnet-b1.58-2B-4T-8bit was converted to MLX format from microsoft/bitnet-b1.58-2B-4T using mlx-lm version 0.25.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/bitnet-b1.58-2B-4T-8bit")

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)