RWKV-LM-LoRA
web-rwkv
| RWKV-LM-LoRA | web-rwkv | |
|---|---|---|
| 4 | 1 | |
| 403 | 192 | |
| - | - | |
| 5.6 | 9.6 | |
| 11 months ago | 8 days ago | |
| Python | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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RWKV-LM-LoRA
- People who've used RWKV, whats your wishlist for it?
-
Scaling Transformers to 1B Tokens
> RWKV
The current versions of RWKV slowly go insane when exposed to sequences that are too long, because the state slowly diverges over time as you increase past the context length of the training session. They are experimenting with ways to avoid this though: https://github.com/Blealtan/RWKV-LM-LoRA/tree/dev-infctx
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[R] RWKV 14B ctx8192 is a zero-shot instruction-follower without finetuning, 23 token/s on 3090 after latest optimization (16G VRAM is enough, and you can stream layers to save more VRAM)
Someone in RWKV Discord tried it using LoRA (https://github.com/Blealtan/RWKV-LM-LoRA) and the result is quite nice. Join RWKV Discord for latest updates :)
- [P] RWKV 14B is a strong chatbot despite only trained on Pile (16G VRAM for 14B ctx4096 INT8, more optimizations incoming)
web-rwkv
What are some alternatives?
SpikeGPT - Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"
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.
ChatRWKV - ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
RWKV-CUDA - The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ai00_server - A localized open-source AI server that is better than ChatGPT.
faster-rwkv
RWKV-infctx-trainer - RWKV infctx trainer, for training arbitary context sizes, to 10k and beyond!