llama.cpp quantization

Using llama.cpp release b4944 for quantization.

Original model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

Run them directly with llama.cpp, or any other llama.cpp based project

Prompt format

<|begin▁of▁sentence|>{system_prompt}<|User|>{prompt}<|Assistant|><|end▁of▁sentence|><|Assistant|>

Download a file (not the whole branch) from below:

Filename Quant type File Size Split
deepseek-r1-distill-qwen-1.5b-q3_k_s.gguf Q3_K_S 0.80 GB False

Downloading using huggingface-cli

Click to view download instructions First, make sure you have hugginface-cli installed:
pip install -U "huggingface_hub[cli]"

Then, you can target the specific file you want:

huggingface-cli download https://huggingface.co/Brianpuz/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S-GGUF --include "deepseek-r1-distill-qwen-1.5b-q3_k_s.gguf" --local-dir ./

If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download https://huggingface.co/Brianpuz/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S-GGUF --include "deepseek-r1-distill-qwen-1.5b-q3_k_s.gguf/*" --local-dir ./

You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)

Downloads last month
19
GGUF
Model size
1.78B params
Architecture
qwen2
Hardware compatibility
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