A TIES merge with PsyMedRP, MLewd-ReMM-L2-Chat-20B-Inverted and PsyMedLewd-20B-TIES :

Undi95/PsyMedRP-v1-20B

Elfrino/PsyMedLewd-20B-TIES

Undi95/MLewd-ReMM-L2-Chat-20B-Inverted

Feels like the best all rounder from the PsyMedLewd series. Still in testing but so far I like it's creativity and occasional wacky humour.

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

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Elfrino/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF

This model was converted to GGUF format from Elfrino/PsyMedLewdREMM-20B-TIES 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/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF --hf-file psymedlewdremm-20b-ties-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Elfrino/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF --hf-file psymedlewdremm-20b-ties-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/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF --hf-file psymedlewdremm-20b-ties-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Elfrino/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF --hf-file psymedlewdremm-20b-ties-q5_k_m.gguf -c 2048