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DeepSeek-R1-Distill-Qwen-14B-4bit
OrchardPair/DeepSeek-R1-Distill-Qwen-14B-4bit
DeepSeek-R1-Distill-Qwen-14B-4bit is a machine learning model from OrchardPair. 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-14B-4bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-14B using mlx-lm version 0.21.1.
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.safetensors8.3 GB · 100%
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U3214.8B · 100%
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Model card
From the Hugging Face model README
mlx-community/DeepSeek-R1-Distill-Qwen-14B-4bit
The Model mlx-community/DeepSeek-R1-Distill-Qwen-14B-4bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-14B using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-14B-4bit")
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)
- Library
- mlx
- Type
- qwen2
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026