File size: 2,439 Bytes
0e1b875 8abdcd4 3ba520f b171732 3f7a93d dc52bfe 3f7a93d a8f95a8 1789ebc 8abdcd4 0e1b875 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
---
base_model: Elfrino/PsyMedLewd
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---
# 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](https://huggingface.co/Undi95/MXLewd-L2-20B)
and
[Undi95/PsyMedRP-v1-20B](https://huggingface.co/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`](https://huggingface.co/Elfrino/PsyMedLewd) 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) 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-Q4_K_M-GGUF --hf-file psymedlewd-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
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](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-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
```
|