---
language:
- en
- kn
license: llama2
library_name: adapter-transformers
tags:
- kannada
- bilingual
- llama-cpp
- gguf-my-repo
datasets:
- Cognitive-Lab/Kannada-Instruct-dataset
---

# ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from [`Cognitive-Lab/Ambari-7B-Instruct-v0.2`](https://huggingface.co/Cognitive-Lab/Ambari-7B-Instruct-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/Cognitive-Lab/Ambari-7B-Instruct-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 ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF --model ambari-7b-instruct-v0.2.Q5_K_S.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo ramachandrajoshi/Ambari-7B-Instruct-v0.2-Q5_K_S-GGUF --model ambari-7b-instruct-v0.2.Q5_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 ambari-7b-instruct-v0.2.Q5_K_S.gguf -n 128
```