---
base_model: openchat/openchat_3.5
datasets:
- openchat/openchat_sharegpt4_dataset
- imone/OpenOrca_FLAN
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Pure-Dove
- LDJnr/Verified-Camel
- tiedong/goat
- glaiveai/glaive-code-assistant
- meta-math/MetaMathQA
- OpenAssistant/oasst_top1_2023-08-25
- TIGER-Lab/MathInstruct
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- openchat
- mistral
- C-RLFT
- llama-cpp
- gguf-my-repo
---

# ysn-rfd/openchat_3.5-Q8_0-GGUF
This model was converted to GGUF format from [`openchat/openchat_3.5`](https://huggingface.co/openchat/openchat_3.5) 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/openchat/openchat_3.5) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo ysn-rfd/openchat_3.5-Q8_0-GGUF --hf-file openchat_3.5-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo ysn-rfd/openchat_3.5-Q8_0-GGUF --hf-file openchat_3.5-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.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo ysn-rfd/openchat_3.5-Q8_0-GGUF --hf-file openchat_3.5-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo ysn-rfd/openchat_3.5-Q8_0-GGUF --hf-file openchat_3.5-q8_0.gguf -c 2048
```