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--- |
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base_model: Gryphe/Pantheon-Proto-RP-1.8-30B-A3B |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- instruct |
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- finetune |
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- chatml |
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- axolotl |
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- roleplay |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q4_K_S-GGUF |
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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. |
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Refer to the [original model card](https://huggingface.co/Gryphe/Pantheon-Proto-RP-1.8-30B-A3B) for more details on the model. |
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--- |
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Ever since Qwen 3 released I've been trying to get MoE finetuning to |
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work - After countless frustrating days, much code hacking, etc etc I |
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finally got a full finetune to complete with reasonable loss values. |
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I picked the base model for this since I didn't feel like trying to |
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fight a reasoning model's training - Maybe someday I'll make a model |
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which uses thinking tags for the character's thoughts or something. |
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This time the recipe focused on combining as many data sources as I |
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possibly could, featuring synthetic data from Sonnet 3.5 + 3.7, ChatGPT |
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4o and Deepseek. These then went through an extensive rewriting pipeline |
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to eliminate common AI cliches, with the hopeful intent of providing |
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you a fresh experience. |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q4_K_S-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q4_K_S-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q4_k_s.gguf -c 2048 |
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``` |
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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. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q4_K_S-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/Pantheon-Proto-RP-1.8-30B-A3B-Q4_K_S-GGUF --hf-file pantheon-proto-rp-1.8-30b-a3b-q4_k_s.gguf -c 2048 |
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``` |
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