README.md

---
license: apache-2.0
tags:
- code
- llama-cpp
- gguf-my-repo
base_model: deepseek-ai/deepseek-coder-6.7b-base
datasets:
- JetBrains/KExercises
results:
- task:
    type: text-generation
  dataset:
    name: MultiPL-HumanEval (Kotlin)
    type: openai_humaneval
  metrics:
  - name: pass@1
    type: pass@1
    value: 55.28
---

# YorkieOH10/deepseek-coder-6.7B-kexer-Q8_0-GGUF
This model was converted to GGUF format from [`JetBrains/deepseek-coder-6.7B-kexer`](https://huggingface.co/JetBrains/deepseek-coder-6.7B-kexer) 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/JetBrains/deepseek-coder-6.7B-kexer) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew.
```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.
CLI:
```bash
llama-cli --hf-repo YorkieOH10/deepseek-coder-6.7B-kexer-Q8_0-GGUF --model deepseek-coder-6.7b-kexer-q8_0.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo YorkieOH10/deepseek-coder-6.7B-kexer-Q8_0-GGUF --model deepseek-coder-6.7b-kexer-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.
```
git clone https://github.com/ggerganov/llama.cpp && \
cd llama.cpp && \
make && \
./main -m deepseek-coder-6.7b-kexer-q8_0.gguf -n 128
```