Triangle104/Cydonia-22B-v1.3-Q4_K_M-GGUF

This model was converted to GGUF format from TheDrummer/Cydonia-22B-v1.3 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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Model details:

Cydonia v1.3 has the creative flair of v1.2 with a strong adventure bias. Try using an open-ended card on this one!

You may also like:

Cydonia v1: Straight up moist, a classic for some
Cydonia v1.1: Less refusals, a more evil v1
Cydonia v1.2: Creative boost

Arsenal (Supported Chat Templates)

Metharme (a.k.a. Pygmalion in ST) for RP / Story
Alpaca for Story / Adventure
Mistral for Instruct / RP / Story
You can mix it up and see which works best for you.

Favorite RP Format

action Dialogue thoughts Dialogue narration in 1st person PoV

Thank you, Envoid! I cackled.

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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/Cydonia-22B-v1.3-Q4_K_M-GGUF --hf-file cydonia-22b-v1.3-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Cydonia-22B-v1.3-Q4_K_M-GGUF --hf-file cydonia-22b-v1.3-q4_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/Cydonia-22B-v1.3-Q4_K_M-GGUF --hf-file cydonia-22b-v1.3-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Cydonia-22B-v1.3-Q4_K_M-GGUF --hf-file cydonia-22b-v1.3-q4_k_m.gguf -c 2048