Triangle104/Eleusis-12B-Q5_K_S-GGUF

This model was converted to GGUF format from PygmalionAI/Eleusis-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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Alongside the release of Pygmalion-3, we present an additional roleplay model based on Mistral's Nemo Base named Eleusis, a unique model that has a distinct voice among its peers. Though it was meant to be a test run for further experiments, this model was received warmly to the point where we felt it was right to release it publicly.

We release the weights of Eleusis under the Apache 2.0 license, ensuring a free and open ecosystem for it to flourish under.

    Prompting

Like its component models, Eleusis utilizes the standard ChatML format.

<|im_start|>system Your responses must be detailed, creative, immersive, and drive the scenario forward.<|im_end|> <|im_start|>user {{user}}: Good evening!<|im_end|> <|im_start|>assistant {{char}}:

Note that this system prompt is an example and experimentation is encouraged for your use-case purposes. {{user}} and {{char}} are placeholder names and should be replaced with the user's name and the character to be roleplayed as by the model.

    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.

    Acknowledgements

A warm thank you is required for the creators of the models we used to construct Eleusis, and a huge shout out once more to Pyg's wonderful community, who's with us every step of the way.

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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/Eleusis-12B-Q5_K_S-GGUF --hf-file eleusis-12b-q5_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Eleusis-12B-Q5_K_S-GGUF --hf-file eleusis-12b-q5_k_s.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/Eleusis-12B-Q5_K_S-GGUF --hf-file eleusis-12b-q5_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Eleusis-12B-Q5_K_S-GGUF --hf-file eleusis-12b-q5_k_s.gguf -c 2048