Counting-Stars (★)
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Updated
May 20, 2024 - Jupyter Notebook
Counting-Stars (★)
awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.
Transformers with Arbitrarily Large Context
open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
Implementation of Infini-Transformer in Pytorch
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
"Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang.
PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
LongAlign: A Recipe for Long Context Alignment Encompassing Data, Training, and Evaluation
The official implementation of "Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks"
Official release of InternLM2 7B and 20B base and chat models. 200K context support
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory"
The official repo for "LLoCo: Learning Long Contexts Offline"
needle in a haystack for LLMs
Implementation of paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"
Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
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