README.md

---
license: mit
library_name: transformers
tags:
- trl
- orpo
- generated_from_trainer
- llama-cpp
- gguf-my-repo
base_model: wandb/Mistral-7B-v0.2
datasets:
- argilla/distilabel-capybara-dpo-7k-binarized
---

# Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from [`wandb/zephyr-orpo-7b-v0.2`](https://huggingface.co/wandb/zephyr-orpo-7b-v0.2) 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/wandb/zephyr-orpo-7b-v0.2) 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 Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF --model zephyr-orpo-7b-v0.2.Q4_K_S.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF --model zephyr-orpo-7b-v0.2.Q4_K_S.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 zephyr-orpo-7b-v0.2.Q4_K_S.gguf -n 128
```