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Instructions to use openerotica/Gorgon-7b-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use openerotica/Gorgon-7b-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="openerotica/Gorgon-7b-v0.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("openerotica/Gorgon-7b-v0.1")
model = AutoModelForMultimodalLM.from_pretrained("openerotica/Gorgon-7b-v0.1")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openerotica/Gorgon-7b-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openerotica/Gorgon-7b-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openerotica/Gorgon-7b-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openerotica/Gorgon-7b-v0.1

SGLang

How to use openerotica/Gorgon-7b-v0.1 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 "openerotica/Gorgon-7b-v0.1" \
    --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": "openerotica/Gorgon-7b-v0.1",
		"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 "openerotica/Gorgon-7b-v0.1" \
        --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": "openerotica/Gorgon-7b-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openerotica/Gorgon-7b-v0.1 with Docker Model Runner:
```
docker model run hf.co/openerotica/Gorgon-7b-v0.1
```

This is an experimental lima style model trained on a small subset of freedom-rp and erotica-analysis-16k. Due to the much smaller dataset size (about 1000 samples from each original dataset) it was much easier to edit and clean thoroughly. I also used a slightly lower learning rate of 0.00015.

The prompt format is chatml.

I have not tested the model yet, but I am hoping I can use this to help me create more training data for specific genres.

Please consider subscribing to my patreon or buying a giant candle dick on my etsy to show your support.

https://www.patreon.com/openerotica

http://openerotica.etsy.com/

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