RWKV-v2-RNN-Pile
token-shift-gpt
| RWKV-v2-RNN-Pile | token-shift-gpt | |
|---|---|---|
| 6 | 1 | |
| 65 | 47 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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RWKV-v2-RNN-Pile
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[R] RWKV-3: Scaling RNN to 1.5B and Reach Transformer LM Performance (without using attention)
See https://github.com/BlinkDL/RWKV-v2-RNN-Pile for the ppl vs ctxlen curve :)
- [D] Why are transformers still being used?
- [R] RWKV-2 430M release (a parallelizable RNN with transformer-level LM performance, and without using attention)
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[R] RWKV-v2-RNN : A parallelizable RNN with transformer-level LM performance, and without using attention
Read the inference code in https://github.com/BlinkDL/RWKV-v2-RNN-Pile first :)
token-shift-gpt
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[R] RWKV-v2-RNN : A parallelizable RNN with transformer-level LM performance, and without using attention
indeed :) took this to the extreme with https://github.com/lucidrains/token-shift-gpt
What are some alternatives?
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
RWKV-CUDA - The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )
flash-attention - Fast and memory-efficient exact attention
AI-Writer - AI 写小说，生成玄幻和言情网文等等。中文预训练生成模型。采用我的 RWKV 模型，类似 GPT-2 。AI写作。RWKV for Chinese novel generation.
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
quality
SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python