README.md

---
language:
- en
license: apache-2.0
tags:
- Mistral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- llama-cpp
- gguf-my-repo
base_model: mistralai/Mistral-7B-v0.1
datasets:
- teknium/OpenHermes-2.5
widget:
- example_title: Hermes 2 Pro
  messages:
  - role: system
    content: You are a sentient, superintelligent artificial general intelligence,
      here to teach and assist me.
  - role: user
    content: Write a short story about Goku discovering kirby has teamed up with Majin
      Buu to destroy the world.
model-index:
- name: Hermes-2-Pro-Mistral-7B
  results: []
---

# quanthunter/Hermes-2-Pro-Mistral-7B-Q8_0-GGUF
This model was converted to GGUF format from [`NousResearch/Hermes-2-Pro-Mistral-7B`](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) 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/NousResearch/Hermes-2-Pro-Mistral-7B) 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 quanthunter/Hermes-2-Pro-Mistral-7B-Q8_0-GGUF --model hermes-2-pro-mistral-7b.Q8_0.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo quanthunter/Hermes-2-Pro-Mistral-7B-Q8_0-GGUF --model hermes-2-pro-mistral-7b.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 hermes-2-pro-mistral-7b.Q8_0.gguf -n 128
```