Instructions to use MetaIX/GPT4-X-Alpaca-30B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MetaIX/GPT4-X-Alpaca-30B-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MetaIX/GPT4-X-Alpaca-30B-4bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MetaIX/GPT4-X-Alpaca-30B-4bit") model = AutoModelForCausalLM.from_pretrained("MetaIX/GPT4-X-Alpaca-30B-4bit") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MetaIX/GPT4-X-Alpaca-30B-4bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MetaIX/GPT4-X-Alpaca-30B-4bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MetaIX/GPT4-X-Alpaca-30B-4bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MetaIX/GPT4-X-Alpaca-30B-4bit
- SGLang
How to use MetaIX/GPT4-X-Alpaca-30B-4bit 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 "MetaIX/GPT4-X-Alpaca-30B-4bit" \ --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": "MetaIX/GPT4-X-Alpaca-30B-4bit", "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 "MetaIX/GPT4-X-Alpaca-30B-4bit" \ --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": "MetaIX/GPT4-X-Alpaca-30B-4bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MetaIX/GPT4-X-Alpaca-30B-4bit with Docker Model Runner:
docker model run hf.co/MetaIX/GPT4-X-Alpaca-30B-4bit
What model_type to set between "None" and "llama"? And what prompt style to use? There are plenty of the latter in Ooba's TextGenWebUI as of now and I'm pretty much lost (see pics for clarification)
Use llama for model type and alpaca for prompt style.
Also if these infos are generally available somewhere in the config files of the repo and I can find them autonomously please let me know so I won't bother you all ever again with these noob-ish questions, thank you!
@MetaIX I swear I don't want to bother you but I would really appreciate if you could reply to that, I'm trying to learn what I can. Thank you and sorry if I'm annoying
I've discovered over the years that it is far more annoying to constantly apologize rather than just ask with confidence lol. :D
I hear ya tho, I also sometimes struggle to find the right settings and it can be frustrating when nobody wants to help
I've discovered over the years that it is far more annoying to constantly apologize rather than just ask with confidence lol. :D
I hear ya tho, I also sometimes struggle to find the right settings and it can be frustrating when nobody wants to help
Got it, now fuck off. How am I doing?

