sebulo / LoQT
☆57Updated last week
Related projects ⓘ
Alternatives and complementary repositories for LoQT
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆104Updated last month
- This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.☆80Updated 4 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆92Updated last month
- A repository for research on medium sized language models.☆74Updated 5 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆113Updated 3 weeks ago
- ☆62Updated 3 months ago
- ☆35Updated 3 weeks ago
- ☆43Updated 4 months ago
- ☆63Updated 4 months ago
- Collection of autoregressive model implementation☆67Updated this week
- QuIP quantization☆46Updated 8 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆177Updated last month
- My fork os allen AI's OLMo for educational purposes.☆28Updated this week
- ☆16Updated last month
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆30Updated 3 months ago
- Token Omission Via Attention☆120Updated last month
- This repository contains code for the MicroAdam paper.☆12Updated 4 months ago
- ☆53Updated 10 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆56Updated last month
- ☆67Updated last week
- This is the official repository for Inheritune.☆105Updated last month
- A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.☆74Updated last month
- ☆49Updated 8 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆129Updated 2 months ago
- Normalized Transformer (nGPT)☆66Updated this week
- Code repository for the c-BTM paper☆105Updated last year
- RWKV-7: Surpassing GPT☆45Updated this week
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆139Updated this week
- PyTorch implementation of models from the Zamba2 series.☆158Updated this week
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆214Updated 3 months ago