|
--- |
|
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-1.5B-Multilingual |
|
--- |
|
|
|
# NikolayKozloff/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-Q8_0-GGUF |
|
This model was converted to GGUF format from [`lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual`](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-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-1.5B-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 NikolayKozloff/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-multilingual-q8_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo NikolayKozloff/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-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 NikolayKozloff/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-multilingual-q8_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo NikolayKozloff/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-Q8_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-multilingual-q8_0.gguf -c 2048 |
|
``` |
|
|
