VOOZH about

URL: https://huggingface.co/maxrubin629/Sky-T1-32B-Flash-Q4-mlx

⇱ maxrubin629/Sky-T1-32B-Flash-Q4-mlx · Hugging Face


maxrubin629/Sky-T1-32B-Flash-Q4-mlx

The Model maxrubin629/Sky-T1-32B-Flash-Q4-mlx was converted to MLX format from NovaSky-AI/Sky-T1-32B-Flash using mlx-lm version 0.19.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("maxrubin629/Sky-T1-32B-Flash-Q4-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)
Downloads last month
4
Safetensors
Model size
5B params
Tensor type
F16
·
U32
·
MLX
Hardware compatibility
Log In to add your hardware

4-bit

Model tree for maxrubin629/Sky-T1-32B-Flash-Q4-mlx

Base model

Qwen/Qwen2.5-32B
Quantized
(7)
this model

Datasets used to train maxrubin629/Sky-T1-32B-Flash-Q4-mlx