PsyMedLewd-Q4_K_M-GGUF

Elfrino/PsyMedLewd-Q4_K_M-GGUF

PsyMedLewd (A merge of two of my favourite models for scifi stories)

A SLERP merge of two models:

Undi95/MXLewd-L2-20B

and

Undi95/PsyMedRP-v1-20B

RECOMMENDED SETTINGS FOR ALL PsyMedLewd VERSIONS

(based on KoboldCPP):

Temperature - 1.3

Max Ctx. Tokens - 4096

Top p Sampling - 0.99

Repetition Penalty - 1.09

Amount to Gen. - 512

Prompt template: Alpaca or ChatML

First iteration. More to come..

#################################################################################################

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

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 Elfrino/PsyMedLewd-Q4_K_M-GGUF --hf-file psymedlewd-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Elfrino/PsyMedLewd-Q4_K_M-GGUF --hf-file psymedlewd-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 Elfrino/PsyMedLewd-Q4_K_M-GGUF --hf-file psymedlewd-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Elfrino/PsyMedLewd-Q4_K_M-GGUF --hf-file psymedlewd-q4_k_m.gguf -c 2048