cahya-wirawan / rwkv-tokenizerLinks
A fast RWKV Tokenizer written in Rust
☆53Updated last month
Alternatives and similar repositories for rwkv-tokenizer
Users that are interested in rwkv-tokenizer are comparing it to the libraries listed below
Sorting:
- A large-scale RWKV v7(World, PRWKV, Hybrid-RWKV) inference. Capable of inference by combining multiple states(Pseudo MoE). Easy to deploy…☆44Updated this week
- ☆34Updated last year
- RWKV-7: Surpassing GPT☆95Updated 10 months ago
- Experiments with BitNet inference on CPU☆54Updated last year
- RWKV infctx trainer, for training arbitary context sizes, to 10k and beyond!☆148Updated last year
- RWKV in nanoGPT style☆193Updated last year
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆88Updated 4 months ago
- ☆64Updated 5 months ago
- A repository aimed at pruning DeepSeek V3, R1 and R1-zero to a usable size☆68Updated 2 weeks ago
- ☆38Updated 4 months ago
- ☆17Updated 8 months ago
- Course Project for COMP4471 on RWKV☆17Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 4 months ago
- RWKV, in easy to read code☆71Updated 5 months ago
- ☆51Updated last year
- ☆39Updated last year
- DPO, but faster 🚀☆44Updated 9 months ago
- QuIP quantization☆59Updated last year
- ☆83Updated 3 months ago
- RWKV centralised docs for the community☆29Updated last month
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 11 months ago
- ☆49Updated last year
- ☆48Updated last year
- A converter and basic tester for rwkv onnx☆43Updated last year
- Fast modular code to create and train cutting edge LLMs☆68Updated last year
- Collection of autoregressive model implementation☆86Updated 4 months ago
- Implementation of the Mamba SSM with hf_integration.☆56Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year