--- license: mit language: - en base_model: ReadyArt/Omega-Darkest_The-Broken-Tutu-GLM-32B base_model_relation: finetune pipeline_tag: text-generation tags: - nsfw - explicit - roleplay - unaligned - ERP - Erotic - Horror - Violence - llama-cpp - gguf-my-repo --- # Triangle104/Omega-Darkest_The-Broken-Tutu-GLM-32B-Q5_K_M-GGUF This model was converted to GGUF format from [`ReadyArt/Omega-Darkest_The-Broken-Tutu-GLM-32B`](https://huggingface.co/ReadyArt/Omega-Darkest_The-Broken-Tutu-GLM-32B) 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/Omega-Darkest_The-Broken-Tutu-GLM-32B) for more details on the model. --- Turn away now. Nobody is dark enough to actually want this. - 🧬 Expanded 25M Token Dataset: Made with 687 erotic, horror and violence novels and 8,742 scenarios - 🧟 Enhanced Gore Protocols: Vivid anatomical descriptions with medical precision - 💎 Balanced Depravity: Retains Forgotten-Safeword's ERP edge while taking violence to the next level - 📜 Enhanced Character Piloting: Characters exhibit more nuanced personalities and motivations in extreme scenarios - ⚰️ Mortality Awareness: Characters react realistically to pain, mutilation and death --- ## 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/Omega-Darkest_The-Broken-Tutu-GLM-32B-Q5_K_M-GGUF --hf-file omega-darkest_the-broken-tutu-glm-32b-q5_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/Omega-Darkest_The-Broken-Tutu-GLM-32B-Q5_K_M-GGUF --hf-file omega-darkest_the-broken-tutu-glm-32b-q5_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/Omega-Darkest_The-Broken-Tutu-GLM-32B-Q5_K_M-GGUF --hf-file omega-darkest_the-broken-tutu-glm-32b-q5_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/Omega-Darkest_The-Broken-Tutu-GLM-32B-Q5_K_M-GGUF --hf-file omega-darkest_the-broken-tutu-glm-32b-q5_k_m.gguf -c 2048 ```