Instructions to use maicomputer/gpt4-x-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use maicomputer/gpt4-x-alpaca with Transformers:

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

pipe = pipeline("text-generation", model="maicomputer/gpt4-x-alpaca")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maicomputer/gpt4-x-alpaca")
model = AutoModelForCausalLM.from_pretrained("maicomputer/gpt4-x-alpaca")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use maicomputer/gpt4-x-alpaca with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "maicomputer/gpt4-x-alpaca"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maicomputer/gpt4-x-alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/maicomputer/gpt4-x-alpaca

SGLang

How to use maicomputer/gpt4-x-alpaca 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 "maicomputer/gpt4-x-alpaca" \
    --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": "maicomputer/gpt4-x-alpaca",
		"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 "maicomputer/gpt4-x-alpaca" \
        --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": "maicomputer/gpt4-x-alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use maicomputer/gpt4-x-alpaca with Docker Model Runner:
```
docker model run hf.co/maicomputer/gpt4-x-alpaca
```

How do you install this?

by JonOne - opened Mar 31, 2023

Discussion

JonOne

Mar 31, 2023

I can’t find instructions on how to install this. Can anyone help? Thanks

maicomputer

Owner Apr 3, 2023

This comment has been hidden

ymonster

Apr 11, 2023

Can I use text-generation-webui? https://github.com/oobabooga/text-generation-webui.

ozzafar

Apr 14, 2023

should that code snippet work?

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("chavinlo/gpt4-x-alpaca")
model = AutoModelForCausalLM.from_pretrained("chavinlo/gpt4-x-alpaca")

gaabreu

Apr 19, 2023

I need to try this out! having issues to run from this snippet too.

Traceback (most recent call last):
File "/Users/gabrielabreu/isa/gpt4xalpaca.py", line 3, in
tokenizer = AutoTokenizer.from_pretrained("chavinlo/gpt4-x-alpaca")
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 676, in from_pretrained
raise ValueError(
ValueError: Tokenizer class LlamaTokenizer does not exist or is not currently imported.

Silverwarriorin

May 19, 2023

I need to try this out! having issues to run from this snippet too.

Traceback (most recent call last):
File "/Users/gabrielabreu/isa/gpt4xalpaca.py", line 3, in
tokenizer = AutoTokenizer.from_pretrained("chavinlo/gpt4-x-alpaca")
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 676, in from_pretrained
raise ValueError(
ValueError: Tokenizer class LlamaTokenizer does not exist or is not currently imported.

Update your tokenizer version to the latest

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