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license: apache-2.0 |
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datasets: |
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- Norquinal/claude_multiround_chat_30k |
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- OpenLeecher/Teatime |
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We proudly announce this is the world first 128k context model based on RWKV architecture today, 2023-08-10. |
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With RWKV world tokenizer,multi-langs have 1:1 tokenization ratio ,one word to one token. |
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(https://github.com/BlinkDL/ChatRWKV/blob/2a13ddecd81f8fd615b6da3a8f1091a594689e30/tokenizer/rwkv_tokenizer.py#L163) |
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This model trained with instructions datasets and chinese web novel and tradition wuxia, |
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more trainning details would be updated. |
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Tested to summary 85k tokens to 5 keypoints ,can find conversation files in example folders ,more cases are coming. |
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Full finetuned using this repo to train 128k context model , 4*A800 40hours with 1.3B tokens. |
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https://github.com/SynthiaDL/TrainChatGalRWKV/blob/main/train_world.sh |
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Using RWKV Runner https://github.com/josStorer/RWKV-Runner to test this ， use temp 0.1-0.2 topp 0.7 for more precise answer ,temp between 1-2.x is more creatively. |
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85k input test |
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