Triangle104/Pygmalion-3-12B-Q5_K_M-GGUF

This model was converted to GGUF format from PygmalionAI/Pygmalion-3-12B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Dataset

We've gathered a large collection of instructions and roleplaying totaling hundreds of millions of tokens, including our PIPPA dataset and roleplaying forums.

Limitations and biases

The intended use-case for this model is fictional writing for entertainment purposes. Any other sort of usage is out of scope.

As such, it was not fine-tuned to be safe and harmless: the base model and this fine-tune have been trained on data known to contain profanity and texts that are lewd or otherwise offensive. It may produce socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. Outputs might often be factually wrong or misleading.

Training Specifications

We trained our model as a rank-32 LoRA adapter with one epoch over our data using 8x NVIDIA A40 GPUs. For this run, we employed a learning rate of 2e-4 and a total batch size across all GPUs of 24. A cosine learning rate scheduler was used with a 100 step warmup. DeepSpeed ZeRO was used to successfully get memory usage down.

Acknowledgements

This project could not have been done without the compute support of Hive Digital Technologies and the Axolotl training software.

We'd like to extensively thank lemonilia for their wonderful help in compiling roleplay forum data.

And most of all, we dedicate this model to our great community, who've stuck with us through everything until now. Sincerely, thank you so much. We hope you enjoy our work to the fullest and we promise more is on the way soon.

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Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Pygmalion-3-12B-Q5_K_M-GGUF --hf-file pygmalion-3-12b-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Pygmalion-3-12B-Q5_K_M-GGUF --hf-file pygmalion-3-12b-q5_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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/Pygmalion-3-12B-Q5_K_M-GGUF --hf-file pygmalion-3-12b-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Pygmalion-3-12B-Q5_K_M-GGUF --hf-file pygmalion-3-12b-q5_k_m.gguf -c 2048