Instructions to use maicomputer/gpt4-x-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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 Settings
- 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
GPT4 x Alpaca
As a base model we used: alpaca-13b
Finetuned on GPT4's responses, for 3 epochs.
Open LLM Leaderboard Evaluation Results
| Metric | Value |
|---|---|
| Avg. | 46.78 |
| ARC (25-shot) | 52.82 |
| HellaSwag (10-shot) | 79.59 |
| MMLU (5-shot) | 48.19 |
| TruthfulQA (0-shot) | 48.88 |
| Winogrande (5-shot) | 70.17 |
| GSM8K (5-shot) | 2.81 |
| DROP (3-shot) | 24.99 |