license: other
tags:
- llama-cpp
- gguf-my-repo
base_model: TheDrummer/Cydonia-22B-v1.3
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.
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.
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