HawkLM-demo
HawkLM-demo 🤗 ｜ HawkLM-Chat-demo 🤗
Model Details
- Developed by: Rexopia
- Reach me: ruiji.zhang@outlook.com
- Language(s): English
- License: Apache license 2.0
- Pretrained model: True
- Demo version: True
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Rexopia/HawkLM-demo", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Rexopia/HawkLM-demo", device_map="auto", trust_remote_code=True)
Training Data
We sampled English-only corpus from Redpajama-1T datasets without any Arxiv and GitHub tags. As the demo version presented, we only trained 3.3Bil tokens.
Evaluation
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Citation
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Model Card Contact
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Rexopia/HawkLM-demo"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Rexopia/HawkLM-demo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'