README.md

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

 [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)

 [Elfrino/PsyMedLewd-20B-TIES](https://huggingface.co/Elfrino/PsyMedLewd-20B-TIES)

[Undi95/MLewd-ReMM-L2-Chat-20B-Inverted](https://huggingface.co/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.

![Warning: Bad alien gangster ahead!](https://huggingface.co/Elfrino/PsyMedLewdREMM-20B-TIES-Q5_K_M-GGUF/resolve/main/pigpin.png)


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`](https://huggingface.co/Elfrino/PsyMedLewdREMM-20B-TIES) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Elfrino/PsyMedLewdREMM-20B-TIES) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
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:
```bash
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](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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
```