from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("Rexopia/HawkLM-Chat-demo", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Rexopia/HawkLM-Chat-demo", device_map="auto", trust_remote_code=True)

Training Data

Developed by: Rexopia
Reach me: <a href="mailto:ruiji.zhang@outlook.com" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">ruiji.zhang@outlook.com
Language(s): English
License: Apache license 2.0
Pretrained model: False
Demo version: True

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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