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--- |
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language: |
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- en |
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- zh |
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- fr |
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- es |
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- de |
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- pt |
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- ru |
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- it |
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- ja |
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- ko |
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- vi |
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- ar |
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tags: |
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- pytorch |
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- text-generation |
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- causal-lm |
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- rwkv |
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license: apache-2.0 |
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datasets: |
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- cerebras/SlimPajama-627B |
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- EleutherAI/pile |
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--- |
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# RWKV-5 World (Training in Progress) |
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## I am now updating latest training-in-progress checkpts to https://huggingface.co/BlinkDL/temp/tree/main (to avoid bloating git history) |
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## I am now updating latest training-in-progress checkpts to https://huggingface.co/BlinkDL/temp/tree/main (to avoid bloating git history) |
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Use rwkv pip package 0.8.14+ for RWKV-5 inference: https://pypi.org/project/rwkv/ |
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Online Demo: https://huggingface.co/spaces/BlinkDL/ChatRWKV-gradio |
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GUI: https://github.com/josStorer/RWKV-Runner (see Releases) |
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How it works: https://twitter.com/BlinkDL_AI/status/1685230712247795713 |
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https://www.rwkv.com/ |
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## Model Description |
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RWKV-5 trained on 100+ world languages (70% English, 15% multilang, 15% code). |
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World = Some_Pile + Some_SlimPajama + Some_StarCoder + Some_OSCAR + All_Wikipedia + All_ChatGPT_Data_I_can_find |
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RWKV-5 training: set --my_testing "r2r4" in latest RWKV-LM v4neo: https://github.com/BlinkDL/RWKV-LM |
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World v1 = 0.59T tokens |
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World v2 = 1.12T tokens |
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Imagine what happens when we use more data :) |
