metadata

library_name: transformers
datasets:
  - codeparrot/apps
  - BAAI/TACO
  - AI-MO/NuminaMath-CoT
language:
  - en
base_model: NovaSky-AI/Sky-T1-32B-Preview
license: apache-2.0
tags:
  - mlx

mlx-community/Sky-T1-32B-Preview-4bit

The Model mlx-community/Sky-T1-32B-Preview-4bit was converted to MLX format from NovaSky-AI/Sky-T1-32B-Preview using mlx-lm version 0.21.0 by Focused.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Sky-T1-32B-Preview-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)

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