README.md

---
language:
- en
license: llama3
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
datasets:
- Replete-AI/code_bagel
---

# rombodawg/Llama3-8B-SFT-code_bagel-bnb-4bit-Q8_0-GGUF
This model was converted to GGUF format from [`thesven/Llama3-8B-SFT-code_bagel-bnb-4bit`](https://huggingface.co/thesven/Llama3-8B-SFT-code_bagel-bnb-4bit) 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/thesven/Llama3-8B-SFT-code_bagel-bnb-4bit) 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 rombodawg/Llama3-8B-SFT-code_bagel-bnb-4bit-Q8_0-GGUF --model llama3-8b-sft-code_bagel-bnb-4bit-q8_0.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo rombodawg/Llama3-8B-SFT-code_bagel-bnb-4bit-Q8_0-GGUF --model llama3-8b-sft-code_bagel-bnb-4bit-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 llama3-8b-sft-code_bagel-bnb-4bit-q8_0.gguf -n 128
```