README.md

---
base_model: Elfrino/PsyMedLewd_v4
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---

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

-  [Undi95/MXLewd-L2-20B](https://huggingface.co/Undi95/MXLewd-L2-20B)

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

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

![Warning: Cute alien girls inside!](https://huggingface.co/Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF/resolve/main/wantedGirl2.jpg)



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


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




# Elfrino/PsyMedLewd_v4-Q5_K_M-GGUF
This model was converted to GGUF format from [`Elfrino/PsyMedLewd_v4`](https://huggingface.co/Elfrino/PsyMedLewd_v4) 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/PsyMedLewd_v4) 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/PsyMedLewd_v4-Q5_K_M-GGUF --hf-file psymedlewd_v4-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
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](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/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
```