Instructions to use Undi95/MLewd-L2-13B-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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 ♥
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