Instructions to use Undi95/MLewd-L2-13B-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Undi95/MLewd-L2-13B-v2-1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Undi95/MLewd-L2-13B-v2-1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Undi95/MLewd-L2-13B-v2-1")
model = AutoModelForCausalLM.from_pretrained("Undi95/MLewd-L2-13B-v2-1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Undi95/MLewd-L2-13B-v2-1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Undi95/MLewd-L2-13B-v2-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Undi95/MLewd-L2-13B-v2-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Undi95/MLewd-L2-13B-v2-1

SGLang

How to use Undi95/MLewd-L2-13B-v2-1 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Undi95/MLewd-L2-13B-v2-1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Undi95/MLewd-L2-13B-v2-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Undi95/MLewd-L2-13B-v2-1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Undi95/MLewd-L2-13B-v2-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Undi95/MLewd-L2-13B-v2-1 with Docker Model Runner:
```
docker model run hf.co/Undi95/MLewd-L2-13B-v2-1
```

THIS MODEL IS MADE FOR LEWD

SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED

Some topic that was censored in v2 (if not in instruction) isn't anymore in v2.1, try it!

(Try https://huggingface.co/Undi95/MLewd-L2-13B-v2-1-050 / https://huggingface.co/Undi95/MLewd-L2-13B-v2-1-015 if this one isn't good enough for you, it weight more or less zattio770/120-Days-of-LORA-v2-13B who is at 0.25 in here)

Description

This repo contains fp16 files of MLewd-L2-13B-v2-1, very hot and lewd model based on ReMM (SLERP).

Models and loras used

Undi95/ReMM-S-Light (base/private)
Undi95/CreativeEngine
Sao10K/Stheno-Inverted-L2-13B
The-Face-Of-Goonery/Huginn-v3-13b
zattio770/120-Days-of-LORA-v2-13B
PygmalionAI/pygmalion-2-13b

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Special thanks to Sushi and Miko ♥

Downloads last month: 21

Collection including Undi95/MLewd-L2-13B-v2-1

MLewd series

Collection

Lewd models, made for ERP, trying to uncensor the maximum. • 12 items • Updated Dec 15, 2023 • 57