Downloads · 30 days
17
7% of all-time downloads
TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged-MLX-196c8
DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged-MLX-196c8 is a text generation model from TheBlueObserver. Use it when you need the model to write or continue text. It is set up for transformers.
The Model TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged-MLX-196c8 was converted to MLX format from TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged
Downloads · 30 days
17
7% of all-time downloads
All-time downloads
252
Public
Parameters
1.8B
1 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors999 MB · 99%
How the weights are stored.
U321.8B · 100%
From the Hugging Face model README
The Model TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged-MLX-196c8 was converted to MLX format from TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged using mlx-lm version 0.20.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/DeepSeek-R1-Distill-Qwen-1.5B-huatuo-2epochs-merged-MLX-196c8")
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)