ZSY-SZ

ZSY-SZ's Stars

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.7k3831.7k4.3k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python32.7k2055k4k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python28.8k2414.9k4.3k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python19.8k1561.5k2.2k

• LlamaFamily/Llama-Chinese

  Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

  Language:Python13.8k1463341.2k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python13.7k1021k1.1k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook12.2k1743581.9k

• defog-ai/sqlcoder

  SoTA LLM for converting natural language questions to SQL queries

  Language:Jupyter Notebook3.4k33108212

• eliahuhorwitz/Academic-project-page-template

  A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

  Language:JavaScript2k52294

• eosphoros-ai/Awesome-Text2SQL

  Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

  1.7k185133

• tatsu-lab/alpaca_eval

  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

  Language:Jupyter Notebook1.5k8142238

• Victorwz/LongMem

  Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".

  Language:Python760242068

• lupantech/ScienceQA

  Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

  Language:Python59992062

• neulab/BARTScore

  BARTScore: Evaluating Generated Text as Text Generation

  Language:Python31774438

• thu-coai/COLDataset

  The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection

  2082518

• maszhongming/UniEval

  Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation

  Language:Python1904826

• multi30k/dataset

  Multi30k Dataset

  Language:Smalltalk17211557

• microsoft/HaDes

  Token-level Reference-free Hallucination Detection

  Language:Python92618

• google-research-datasets/xsum_hallucination_annotations

  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf).

  806116

• TIGER-AI-Lab/StructLM

  Code and data for "StructLM: Towards Building Generalist Models for Structured Knowledge Grounding" (COLM 2024)

  Language:Python684159

• artidoro/frank

  FRANK: Factuality Evaluation Benchmark

  Language:Python51394

• seumxc/SEU-Logo

  东南大学校徽矢量图，转自微信公众号：金木屋

  46017

• thu-coai/OpenMEVA

  Benchmark for evaluating open-ended generation

  Language:Python44627

• DUT-lujunyu/ToxiCN

  The code and resource of "Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmark" (ACL2023).

  Language:Python421

• TIGER-AI-Lab/TIGERScore

  "TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks" [TMLR 2024]

  Language:Jupyter Notebook28521

• chaojun-wang/Exposure-Bias-Hallucination-Domain-Shift

  Introduction and scripts for ACL-2020 paper "On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation"

  Language:Shell21302

• maidacundo/MoE-LoRA

  Adapt an LLM model to a Mixture-of-Experts model using Parameter Efficient finetuning (LoRA), injecting the LoRAs in the FFN.

  Language:Python21130

• para-zhou/CDial-Bias

  21121

• liuchengyuan123/CPAD

  The official dataset of paper "Goal-Oriented Prompt Attack and Safety Evaluation for LLMs".

  153

• Bahuia/C3

  Language:Python8141