litmudoc/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-MLX-Q8
This model litmudoc/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-MLX-Q8 was converted to MLX format from sm54/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-32B using mlx-lm version 0.22.2.
GGUF conversion MLX
pip install mlx mlx-lm
mlx_lm.convert --hf-path sm54/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-32B -q --q-bits 8 --upload-repo litmudoc/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-MLX-Q8
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("litmudoc/QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-MLX-Q8")
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)
- Downloads last month
- 14
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support