DeepSeek-R1-Distill-Llama-70B-Q2_K-GGUF

Produced by Antigma Labs

llama.cpp quantization

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/b5133">b4944</a> for quantization. Original model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B 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:

Downloading using huggingface-cli

<details> <summary>Click to view download instructions</summary> 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-Llama-70B-Q2_K-GGUF --include "deepseek-r1-distill-llama-70b-q2_k.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-Llama-70B-Q2_K-GGUF --include "deepseek-r1-distill-llama-70b-q2_k.gguf/*" --local-dir ./ ``` You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./) </details>