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
cnfusion/Sky-T1-32B-Preview-Q3-mlx
The Model cnfusion/Sky-T1-32B-Preview-Q3-mlx was converted to MLX format from NovaSky-AI/Sky-T1-32B-Preview using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cnfusion/Sky-T1-32B-Preview-Q3-mlx")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)