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tomasmcm/QwQ-R1-Distill-Merge-32B-mlx-3Bit
QwQ-R1-Distill-Merge-32B-mlx-3Bit is a text generation model from tomasmcm. Use it when you need the model to write or continue text. It is set up for transformers.
The Model tomasmcm/QwQ-R1-Distill-Merge-32B-mlx-3Bit was converted to MLX format from gbueno86/QwQ-R1-Distill-Merge-32B using mlx-lm version 0.22.1.
Downloads · 30 days
4
4% of all-time downloads
All-time downloads
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.safetensors14.3 GB · 100%
How the weights are stored.
U3232.8B · 100%
From the Hugging Face model README
The Model tomasmcm/QwQ-R1-Distill-Merge-32B-mlx-3Bit was converted to MLX format from gbueno86/QwQ-R1-Distill-Merge-32B using mlx-lm version 0.22.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("tomasmcm/QwQ-R1-Distill-Merge-32B-mlx-3Bit")
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)