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nhe-ai/QwQ-R1-Distill-7B-CoT-mlx-2Bit
QwQ-R1-Distill-7B-CoT-mlx-2Bit is a text generation model from nhe-ai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
The Model nhe-ai/QwQ-R1-Distill-7B-CoT-mlx-2Bit was converted to MLX format from prithivMLmods/QwQ-R1-Distill-7B-CoT using mlx-lm version 0.22.1.
Downloads · 30 days
15
11% of all-time downloads
All-time downloads
134
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How the weights are stored.
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From the Hugging Face model README
The Model nhe-ai/QwQ-R1-Distill-7B-CoT-mlx-2Bit was converted to MLX format from prithivMLmods/QwQ-R1-Distill-7B-CoT using mlx-lm version 0.22.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("nhe-ai/QwQ-R1-Distill-7B-CoT-mlx-2Bit")
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)