RWKV-CUDA
The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM ) (by BlinkDL)
web-rwkv
Implementation of the RWKV language model in pure WebGPU/Rust. (by cryscan)
| RWKV-CUDA | web-rwkv | |
|---|---|---|
| 3 | 1 | |
| 220 | 294 | |
| 1.4% | 6.8% | |
| 2.9 | 9.4 | |
| 3 months ago | 4 days ago | |
| Cuda | Rust | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RWKV-CUDA
Posts with mentions or reviews of RWKV-CUDA.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
- People who've used RWKV, whats your wishlist for it?
-
Accelerate PyTorch with Taichi: Data Preprocessing & High-performance ML Operator Customization
This repo introduces an interesting example of customizing an ML operator in CUDA. The author developed an RWKV language model using sort of a one-dimensional depthwise convolution custom operator. The model in itself does not involve large amounts of computation, but still runs slow because PyTorch does not have native support for it. So, the author customized the operator in CUDA and used a set of optimization techniques, such as loop fusion and Shared Memory, achieving a performance 20x better than he did with PyTorch.
-
[R] RWKV-v2-RNN : A parallelizable RNN with transformer-level LM performance, and without using attention
It's using my custom CUDA kernel ( https://github.com/BlinkDL/RWKV-CUDA ) to speedup training, so only GPU for now. On the other hand, you don't need CUDA for inference, and it is very fast even on CPUs.
web-rwkv
Posts with mentions or reviews of web-rwkv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
What are some alternatives?
When comparing RWKV-CUDA and web-rwkv you can also consider the following projects:
RWKV-LM - RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
ai00_server - The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.
RWKV-v2-RNN-Pile - RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
RWKV-infctx-trainer - RWKV infctx trainer, for training arbitary context sizes, to 10k and beyond!
SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence