Instructions to use or4cl3ai/Aiden_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use or4cl3ai/Aiden_t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="or4cl3ai/Aiden_t5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("or4cl3ai/Aiden_t5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use or4cl3ai/Aiden_t5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "or4cl3ai/Aiden_t5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "or4cl3ai/Aiden_t5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/or4cl3ai/Aiden_t5
- SGLang
How to use or4cl3ai/Aiden_t5 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 "or4cl3ai/Aiden_t5" \ --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": "or4cl3ai/Aiden_t5", "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 "or4cl3ai/Aiden_t5" \ --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": "or4cl3ai/Aiden_t5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use or4cl3ai/Aiden_t5 with Docker Model Runner:
docker model run hf.co/or4cl3ai/Aiden_t5
You sure this is 248B params?
#3
by unaidedelf87777 - opened
It seems you made a typo in your readme. It says this is 248b params, but the pytorch_model.bin is only 189 bytes, which means its almost empty. I dont know if this means that it failed to upload the model or what, but just letting ya know.
@pszemraj , there is no way to quantize a 240b param model down to 189bytes. From 2-300gb to 189bytes? Not gonna happen. That’s physically impossible.
no its an unfinished project