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PENG Bo 3 years ago committed by GitHub
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@ -24,6 +24,9 @@ Training speed: RWKV-4 1.5B BF16 ctxlen1024 = 106K tokens/s on 8xA100 40G.
I am doing image experiments too (For example: https://huggingface.co/BlinkDL/clip-guided-binary-autoencoder) and RWKV will be able to do txt2img diffusion :) My idea: 256x256 rgb image -> 32x32x13bit latents -> apply RWKV to compute transition probability for each of the 32x32 grid -> pretend the grids are independent and "diffuse" using these probabilities.
Smooth training - no loss spikes! (lr & bsz change around 15G tokens)
![RWKV-loss](RWKV-loss.png)
## Join our Discord: https://discord.gg/bDSBUMeFpc :)
You are welcome to join the RWKV discord https://discord.gg/bDSBUMeFpc to build upon it. We have plenty of potential compute (A100 40Gs) now (thanks to Stability and EleutherAI), so if you have interesting ideas I can run them.

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