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Brianpuz/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S-GGUF
DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S-GGUF is a machine learning model from Brianpuz. 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 transformers. The card lists the license as mit.
Using <a href="https://github.com/ggml-org/llama.cpp"llama.cpp</a release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b5132"b4944</a for quantization.
Downloads · 30 days
11
6% of all-time downloads
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.gguf861 MB · 100%
From the Hugging Face model README
Using <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b5132">b4944</a> 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
<|begin▁of▁sentence|>{system_prompt}<|User|>{prompt}<|Assistant|><|end▁of▁sentence|><|Assistant|>
| Filename | Quant type | File Size | Split |
|---|---|---|---|
| deepseek-r1-distill-qwen-1.5b-q3_k_s.gguf | Q3_K_S | 0.80 GB | False |
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 (./)
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