liziniu

liziniu's Stars

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.8k1241.2k1.4k

• h2oai/h2ogpt

  Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

  Language:Python11.5k1561.2k1.3k

• LargeWorldModel/LWM

  Large World Model -- Modeling Text and Video with Millions Context

  Language:Python7.2k6671555

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python6.7k61775612

• Future-House/paper-qa

  High accuracy RAG for answering questions from scientific documents with citations

  Language:Python6.6k56287655

• pytorch/torchtune

  PyTorch native post-training library

  Language:Python4.5k48804468

• TransformerLensOrg/TransformerLens

  A library for mechanistic interpretability of GPT-style language models

  Language:Python1.7k16266314

• evalplus/evalplus

  Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

  Language:Python1.3k9192114

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python1.3k381650

• microsoft/ToRA

  ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].

  Language:Python1k192772

• lucidrains/muse-maskgit-pytorch

  Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

  Language:Python883343682

• mlfoundations/MINT-1T

  MINT-1T: A one trillion token multimodal interleaved dataset.

  785251120

• QwenLM/Qwen2.5-Math

  A series of math-specific large language models of our Qwen2 series.

  Language:Python669143467

• haoliuhl/ringattention

  Large Context Attention

  Language:Python65971753

• hsiehjackson/RULER

  This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

  Language:Python644155743

• zhuzilin/ring-flash-attention

  Ring attention implementation with flash attention

  Language:Python618123852

• meta-math/MetaMath

  MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

  Language:Python39872836

• facebookresearch/searchformer

  Official codebase for the paper "Beyond A* Better Planning with Transformers via Search Dynamics Bootstrapping".

  Language:Jupyter Notebook3425118

• tech-srl/RASP

  An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

  Language:Python29610224

• alibaba/ChatLearn

  A flexible and efficient training framework for large-scale alignment tasks

  Language:Python24912920

• mega002/lm-debugger

  The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.

  Language:Python17410718

• openpsi-project/ReaLHF

  Super-Efficient RLHF Training of LLMs with Parameter Reallocation

  Language:Python1573209

• google-deepmind/loft

  LOFT: A 1 Million+ Token Long-Context Benchmark

  Language:Python15511413

• princeton-nlp/ProLong

  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"

  Language:Python1411365

• rachtibat/LRP-eXplains-Transformers

  Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]

  Language:Python11051212

• OpenBMB/OlympiadBench

  [ACL 2024]Official GitHub repo for OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

  Language:Python99597

• ucl-dark/llm_debate

  Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"

  Language:Python904212

• ZitongYang/Synthetic_Continued_Pretraining

  Code implementation of synthetic continued pretraining

  Language:Python70454

• RulinShao/RAG-evaluation-harnesses

  An evaluation suite for Retrieval-Augmented Generation (RAG).

  Language:Python11102

• natanaelwf/LLMTest_FindTheOrigin

  Testing reasoning degradation in LLMs with variable context windows and information organization.

  Language:Python2