PsyMedLewd_v4-Q5_K_M-GGUF

PsyMedLewd. A merge of two of my favourite models for scifi stories:

• Undi95/MXLewd-L2-20B

• Undi95/PsyMedRP-v1-20B

Fourth iteration. Seems more quirky and creative but also perhaps a tad unstable and tipsy. Handle with care!

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

Also all models seem to work good with:

• around 47 layers offloaded to GPU

• Smartcontext enabled

• Custom RoPe Config enabled (but left as default)

Prompt template: Alpaca

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Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF

This model was converted to GGUF format from Elfrino/PsyMedLewd_v4 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_v4-Q5_K_M-GGUF --hf-file psymedlewd_v4-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF --hf-file psymedlewd_v4-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 Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF --hf-file psymedlewd_v4-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF --hf-file psymedlewd_v4-q5_k_m.gguf -c 2048