schwartz-lab-NLP / TOVALinks
Token Omission Via Attention
☆128Updated last year
Alternatives and similar repositories for TOVA
Users that are interested in TOVA are comparing it to the libraries listed below
Sorting:
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆244Updated 7 months ago
- ☆204Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- RWKV-7: Surpassing GPT☆103Updated last year
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆157Updated 9 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 11 months ago
- Some preliminary explorations of Mamba's context scaling.☆218Updated last year
- Understand and test language model architectures on synthetic tasks.☆248Updated 3 months ago
- ☆108Updated 5 months ago
- ☆127Updated last year
- Code repository for the c-BTM paper☆108Updated 2 years ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated 2 months ago
- ☆207Updated 3 weeks ago
- ☆53Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆163Updated 8 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆90Updated 5 months ago
- ☆71Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆136Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- ☆91Updated last year
- EvaByte: Efficient Byte-level Language Models at Scale☆114Updated 8 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆148Updated last year
- ☆39Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Normalized Transformer (nGPT)☆195Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Collection of autoregressive model implementation☆85Updated this week