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deepseek-r1-distill-1.5b
SwinliQ-AIn/deepseek-r1-distill-1.5b
deepseek-r1-distill-1.5b is a machine learning model from SwinliQ-AIn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
The Model mlx-community/DeepSeek-R1-Distill-Qwen-1.5B was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B using mlx-lm version 0.20.2.
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1.8B
4.6 GB on disk
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At a glance
- Library
- mlx
- Model type
- qwen2
- Access
- Public
- Created
- Jul 28, 2026
- Updated
- Jul 28, 2026
- SHA
- de1ee3ea
Base models
Model card
From the Hugging Face model README
mlx-community/DeepSeek-R1-Distill-Qwen-1.5B
The Model mlx-community/DeepSeek-R1-Distill-Qwen-1.5B was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B using mlx-lm version 0.20.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-1.5B")
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)
- Library
- mlx
- Type
- qwen2
- Created
- Jul 28, 2026
- Updated
- Jul 28, 2026