---
base_model: ReadyArt/The-Omega-Directive-M-8B-v1.0
language:
- en
license: other
license_name: mrl
pipeline_tag: text-generation
tags:
- nsfw
- explicit
- roleplay
- unaligned
- dangerous
- ERP
- llama-cpp
- gguf-my-repo
base_model_relation: finetune
---

# Triangle104/The-Omega-Directive-M-8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`ReadyArt/The-Omega-Directive-M-8B-v1.0`](https://huggingface.co/ReadyArt/The-Omega-Directive-M-8B-v1.0) 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/ReadyArt/The-Omega-Directive-M-8B-v1.0) for more details on the model.

---
This evolution of Forgotten-Safeword delivers coherent depravity with unprecedented immersion:
    
🧬 Expanded 22M Token Dataset - Incorporating 90 erotic novels and 6,496 kink scenarios

⚡ Optimized Architecture - Smoother training curve yields more intelligent outputs

💎 Balanced Depravity - Retains Forgotten-Safeword's edge while reducing jarring inconsistencies

📜 Enhanced Character Piloting - Characters exhibit more nuanced personalities and motivations

🌹 Unexpected Depth - Occasionally surprises with profound insights amidst the debauchery

---
## 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/The-Omega-Directive-M-8B-v1.0-Q4_K_M-GGUF --hf-file the-omega-directive-m-8b-v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/The-Omega-Directive-M-8B-v1.0-Q4_K_M-GGUF --hf-file the-omega-directive-m-8b-v1.0-q4_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.

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/The-Omega-Directive-M-8B-v1.0-Q4_K_M-GGUF --hf-file the-omega-directive-m-8b-v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/The-Omega-Directive-M-8B-v1.0-Q4_K_M-GGUF --hf-file the-omega-directive-m-8b-v1.0-q4_k_m.gguf -c 2048
```