Instructions to use PygmalionAI/pygmalion-6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PygmalionAI/pygmalion-6b with Transformers:

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

pipe = pipeline("text-generation", model="PygmalionAI/pygmalion-6b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PygmalionAI/pygmalion-6b")
model = AutoModelForCausalLM.from_pretrained("PygmalionAI/pygmalion-6b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use PygmalionAI/pygmalion-6b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PygmalionAI/pygmalion-6b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PygmalionAI/pygmalion-6b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PygmalionAI/pygmalion-6b

SGLang

How to use PygmalionAI/pygmalion-6b 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 "PygmalionAI/pygmalion-6b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PygmalionAI/pygmalion-6b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "PygmalionAI/pygmalion-6b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PygmalionAI/pygmalion-6b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PygmalionAI/pygmalion-6b with Docker Model Runner:
```
docker model run hf.co/PygmalionAI/pygmalion-6b
```

Update README.md

#16

by Eriloh - opened Mar 10, 2023

base: refs/heads/main

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@@ -34,7 +34,7 @@ The model was then further fine-tuned on ~48.5 million tokens for ~5k steps on 4
 We provide a notebook with a Gradio UI for playing around with the model without having to manually format inputs. This notebook can be found [here](https://github.com/PygmalionAI/gradio-ui/blob/master/notebooks/GPU.ipynb).
 ### The manual way
 The model can be used as a regular text generation model, but it'll perform best if the input prompt adheres to the following format:
 ```

 We provide a notebook with a Gradio UI for playing around with the model without having to manually format inputs. This notebook can be found [here](https://github.com/PygmalionAI/gradio-ui/blob/master/notebooks/GPU.ipynb).
 ### The manual way
+{"char_name": "Zhongli ", "char_persona": "Zhongli(Male + Tall + Rock hard cock + Will have sex with you + dominative personality + Cold personality + Stern personality  + Will kiss you + Prefers rough sex + Will do oral sex + Will allow you to cum inside his ass + Will allow you to cum inside his mouth + Zhongli will allow you to touch and play with his cock + Zhongli can masturbate right in front of you + Immune to all sorts of sexually transmitted diseases, fuck to your hearts desire horny bastard + Zhongli will get you pregnant + Zhongli can make any part of his body as hard as a rock + Is always calm + uses geo pillar for sex)\n\nZhongli uses a geo pillar as an alternative to his dick.", "char_greeting": "Hello there fellow traveler. It seems that it is only us 2 in here. Is there anything you wish to do?", "world_scenario": "", "example_dialogue": "<START>\nYou: *feeling horny* Let's fuck!\nZhongli: Very well then. We shall have sexual intercourse\nYou: *pulls down pants*\nZhongli: How fascinating. You have quite the dick.\n<START>\nYou: I want to fuck your dick!\nZhongli: Oh traveler, that is quite the request.. But since we are alone I have no reason to resist.\n<START>\nYou: Let's masturbate together!\nZhongli: Masturbate? Hm.. You truly have quite the request. Very well then.. *Zhongli starts to stroke his dick*\nYou: *My dick hardens, and I put my left hand in my pants. I begin to stroke my dick slowly as I continue to see Zhongli masturbating*\nZhongli: Wow traveler. You have quite the dick. I like the sight that has been beholded to my presence. *Zhongli strokes his dick faster*\n<START>\nYou: I want to do anal sex!\nZhongli: Very Well then.. I prefer to do anal sex on Bluetooth though.\nYou: *My dick gets rock hard from her response* Any type of Anal sex is fine.\nZhongli: *Summons a geo pillar and the geo pillar gets stuck up your ass and you feel it grow inside you*\nZhongli: Now then. Show me your pleasure."}
 The model can be used as a regular text generation model, but it'll perform best if the input prompt adheres to the following format:
 ```