README.md

---
inference: false
library_name: transformers
language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
- el
- fa
- pl
- id
- cs
- he
- hi
- nl
- ro
- ru
- tr
- uk
- vi
license: cc-by-nc-4.0
extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
  acknowledge that the information you provide will be collected, used, and shared
  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
  receive email updates about C4AI and Cohere research, events, products and services.
  You can unsubscribe at any time.
extra_gated_fields:
  Name: text
  Affiliation: text
  Country: country
  I agree to use this model for non-commercial use ONLY: checkbox
tags:
- abliterated
- uncensored
- llama-cpp
- gguf-my-repo
base_model: huihui-ai/aya-expanse-32b-abliterated
---

# Triangle104/aya-expanse-32b-abliterated-Q5_K_S-GGUF
This model was converted to GGUF format from [`huihui-ai/aya-expanse-32b-abliterated`](https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated) 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/huihui-ai/aya-expanse-32b-abliterated) 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 Triangle104/aya-expanse-32b-abliterated-Q5_K_S-GGUF --hf-file aya-expanse-32b-abliterated-q5_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/aya-expanse-32b-abliterated-Q5_K_S-GGUF --hf-file aya-expanse-32b-abliterated-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.

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 Triangle104/aya-expanse-32b-abliterated-Q5_K_S-GGUF --hf-file aya-expanse-32b-abliterated-q5_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/aya-expanse-32b-abliterated-Q5_K_S-GGUF --hf-file aya-expanse-32b-abliterated-q5_k_s.gguf -c 2048
```