--- base_model: Gryphe/Pantheon-Proto-RP-1.8-30B-A3B language: - en license: apache-2.0 tags: - instruct - finetune - chatml - axolotl - roleplay - llama-cpp - gguf-my-repo --- # Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q3_K_M-GGUF This model was converted to GGUF format from [`Gryphe/Pantheon-Proto-RP-1.8-30B-A3B`](https://huggingface.co/Gryphe/Pantheon-Proto-RP-1.8-30B-A3B) 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/Gryphe/Pantheon-Proto-RP-1.8-30B-A3B) for more details on the model. --- Ever since Qwen 3 released I've been trying to get MoE finetuning to work - After countless frustrating days, much code hacking, etc etc I finally got a full finetune to complete with reasonable loss values. I picked the base model for this since I didn't feel like trying to fight a reasoning model's training - Maybe someday I'll make a model which uses thinking tags for the character's thoughts or something. This time the recipe focused on combining as many data sources as I possibly could, featuring synthetic data from Sonnet 3.5 + 3.7, ChatGPT 4o and Deepseek. These then went through an extensive rewriting pipeline to eliminate common AI cliches, with the hopeful intent of providing you a fresh experience. --- ## 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/Pantheon-Proto-RP-1.8-30B-A3B-Q3_K_M-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q3_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q3_K_M-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q3_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/Pantheon-Proto-RP-1.8-30B-A3B-Q3_K_M-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q3_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q3_K_M-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q3_k_m.gguf -c 2048 ```