Instructions to use PygmalionAI/pygmalion-2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PygmalionAI/pygmalion-2-7b with Transformers:

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

pipe = pipeline("text-generation", model="PygmalionAI/pygmalion-2-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PygmalionAI/pygmalion-2-7b")
model = AutoModelForCausalLM.from_pretrained("PygmalionAI/pygmalion-2-7b")

Inference
Local Apps Settings

vLLM

How to use PygmalionAI/pygmalion-2-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PygmalionAI/pygmalion-2-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PygmalionAI/pygmalion-2-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/PygmalionAI/pygmalion-2-7b

SGLang

How to use PygmalionAI/pygmalion-2-7b 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-2-7b" \
    --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": "PygmalionAI/pygmalion-2-7b",
		"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 "PygmalionAI/pygmalion-2-7b" \
        --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": "PygmalionAI/pygmalion-2-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use PygmalionAI/pygmalion-2-7b with Docker Model Runner:
```
docker model run hf.co/PygmalionAI/pygmalion-2-7b
```

Add some snippets to the README

by TheseusGrey - opened Jan 13, 2024

base: refs/heads/main

←

from: refs/pr/7

Discussion Files changed

+33

-0

TheseusGrey

Jan 13, 2024

Hi PygmalionAI team,

I'm a big fan of your models (Been trying a few of them to integrate into a project I'm working on). But there's been quite a few rough spots and I wanted to see what you thought about including some snippets like the one's in this PR just to give people that first step for using your model(s) which might help promote wider use of them.

If you're not looking for any kind of changes like this just disregrard or close this PR :)

Add some snippets to the README67e5d7c3

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