File size: 2,383 Bytes
29eff58 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
---
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-14B-Multilingual
---
# NikolayKozloff/DeepSeek-R1-Distill-Qwen-14B-Multilingual-Q4_K_M-GGUF
This model was converted to GGUF format from [`lightblue/DeepSeek-R1-Distill-Qwen-14B-Multilingual`](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-14B-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-14B-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-14B-Multilingual-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-14b-multilingual-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo NikolayKozloff/DeepSeek-R1-Distill-Qwen-14B-Multilingual-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-14b-multilingual-q4_k_m.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-14B-Multilingual-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-14b-multilingual-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo NikolayKozloff/DeepSeek-R1-Distill-Qwen-14B-Multilingual-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-14b-multilingual-q4_k_m.gguf -c 2048
```
|