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---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- reward model
- RLHF
- RLAIF
- llama-cpp
- gguf-my-repo
datasets:
- berkeley-nest/Nectar
---
# bunnycore/Starling-LM-7B-beta-laser-dpo-Q5_K_M-GGUF
This model was converted to GGUF format from [`invalid-coder/Starling-LM-7B-beta-laser-dpo`](https://huggingface.co/invalid-coder/Starling-LM-7B-beta-laser-dpo) 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/invalid-coder/Starling-LM-7B-beta-laser-dpo) 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 bunnycore/Starling-LM-7B-beta-laser-dpo-Q5_K_M-GGUF --model starling-lm-7b-beta-laser-dpo.Q5_K_M.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo bunnycore/Starling-LM-7B-beta-laser-dpo-Q5_K_M-GGUF --model starling-lm-7b-beta-laser-dpo.Q5_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.
```
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m starling-lm-7b-beta-laser-dpo.Q5_K_M.gguf -n 128
```
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