| --- |
| language: |
| - am |
| - ar |
| - bn |
| - zh |
| - cs |
| - nl |
| - en |
| - fr |
| - de |
| - el |
| - ha |
| - he |
| - hi |
| - id |
| - it |
| - ja |
| - jv |
| - km |
| - ko |
| - lo |
| - ms |
| - mr |
| - fa |
| - pl |
| - pt |
| - ro |
| - ru |
| - es |
| - sw |
| - sv |
| - tl |
| - ta |
| - te |
| - th |
| - tr |
| - uk |
| - ur |
| - vi |
| license: apache-2.0 |
| datasets: |
| - lightblue/reasoning-multilingual-R1-Llama-70B-train |
| tags: |
| - reasoning |
| - llama-cpp |
| - gguf-my-repo |
| base_model: lightblue/DeepSeek-R1-Distill-Qwen-7B-Multilingual |
| --- |
| |
| # ThiagoVsky/DeepSeek-R1-Distill-Qwen-7B-Multilingual-Q8_0-GGUF |
| This model was converted to GGUF format from [`lightblue/DeepSeek-R1-Distill-Qwen-7B-Multilingual`](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-7B-Multilingual) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
| Refer to the [original model card](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-7B-Multilingual) for more details on the model. |
| |
| ## Use with llama.cpp |
| Install llama.cpp through brew (works on Mac and Linux) |
| |
| ```bash |
| brew install llama.cpp |
| |
| ``` |
| Invoke the llama.cpp server or the CLI. |
| |
| ### CLI: |
| ```bash |
| llama-cli --hf-repo ThiagoVsky/DeepSeek-R1-Distill-Qwen-7B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-7b-multilingual-q8_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| |
| ### Server: |
| ```bash |
| llama-server --hf-repo ThiagoVsky/DeepSeek-R1-Distill-Qwen-7B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-7b-multilingual-q8_0.gguf -c 2048 |
| ``` |
| |
| Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
| |
| Step 1: Clone llama.cpp from GitHub. |
| ``` |
| git clone https://github.com/ggerganov/llama.cpp |
| ``` |
| |
| Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
| ``` |
| cd llama.cpp && LLAMA_CURL=1 make |
| ``` |
| |
| Step 3: Run inference through the main binary. |
| ``` |
| ./llama-cli --hf-repo ThiagoVsky/DeepSeek-R1-Distill-Qwen-7B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-7b-multilingual-q8_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| or |
| ``` |
| ./llama-server --hf-repo ThiagoVsky/DeepSeek-R1-Distill-Qwen-7B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-7b-multilingual-q8_0.gguf -c 2048 |
| ``` |
| |
