README.md

metadata

library_name: transformers
license: mit
language:
  - ja
  - en
base_model: stockmark/Stockmark-2-100B-Instruct-beta
tags:
  - mlx

mlx-community/Stockmark-2-100B-Instruct-beta-8bit

The Model mlx-community/Stockmark-2-100B-Instruct-beta-8bit was converted to MLX format from stockmark/Stockmark-2-100B-Instruct-beta using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Stockmark-2-100B-Instruct-beta-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)