Triangle104/Cydonia-24B-v2-Q5_K_M-GGUF

This model was converted to GGUF format from TheDrummer/Cydonia-24B-v2 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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Cydonia 24B v2 is a finetune of Mistral's latest 'Small' model (2501).

Aliases: "Cydonia 24B", "Cydonia v2", "Cydonia on that broken base"

did a RP up to 21k context on v2. no rep pen no dry. its good!

v2 is fucking violent man

It holds details, anatomy, happening, scenes much better

Also, tested v2 vocabulary. Christ... it would make (redacted) blush.

Tested up to 24K context length, it was stable all throughout.

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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-24B-v2-Q5_K_M-GGUF --hf-file cydonia-24b-v2-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Cydonia-24B-v2-Q5_K_M-GGUF --hf-file cydonia-24b-v2-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/Cydonia-24B-v2-Q5_K_M-GGUF --hf-file cydonia-24b-v2-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Cydonia-24B-v2-Q5_K_M-GGUF --hf-file cydonia-24b-v2-q5_k_m.gguf -c 2048