mihara-bot

mihara-bot's Stars

• vllm-project/vllm

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

  Language:Python33.1k2715.8k5k

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell11.5k71898694

• THUDM/GLM-4

  GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

  Language:Python5.7k36596473

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k7991348

• eliahuhorwitz/Academic-project-page-template

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

  Language:JavaScript2.4k53360

• huggingface/datatrove

  Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

  Language:Python2.1k47138158

• huggingface/nanotron

  Minimalistic large language model 3D-parallelism training

  Language:Python1.4k4393135

• mlfoundations/dclm

  DataComp for Language Models

  Language:HTML1.2k3768108

• huggingface/lighteval

  Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

  Language:Python91829174110

• CarperAI/OpenELM

  Evolution Through Large Models

  Language:Python707261187

• hkust-nlp/deita

  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]

  Language:Python52162729

• mlfoundations/open_lm

  A repository for research on medium sized language models.

  Language:Python482206769

• huggingface/cosmopedia

  Language:Python479121245

• microsoft/rho

  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.

  3746611

• eth-sri/language-model-arithmetic

  Controlled Text Generation via Language Model Arithmetic

  Language:Python2148815

• tomekkorbak/pretraining-with-human-feedback

  Code accompanying the paper Pretraining Language Models with Human Preferences

  Language:Python1796814

• SALT-NLP/demonstrated-feedback

  Language:Python1131414

• msclar/formatspread

  Code accompanying "How I learned to start worrying about prompt formatting".

  Language:Python971210

• yifanzhang-pro/AutoMathText

  Official implementation of paper "Autonomous Data Selection with Language Models for Mathematical Texts" (As Huggingface Daily Papers: https://huggingface.co/papers/2402.07625)

  Language:Python79145

• locuslab/scaling_laws_data_filtering

  Language:Python64304

• skzhang1/IDEAL

  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models

  Language:Python59315

• cxcscmu/MATES

  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]

  Language:Python54226

• adymaharana/d2pruning

  Language:Python31225

• UCSB-NLP-Chang/llm_uncertainty

  Language:Python26112

• cohere-ai/human-feedback-paper

  Code and data from the paper 'Human Feedback is not Gold Standard'

  Language:Jupyter Notebook181101

• daeveraert/gradient-information-optimization

  Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection

  Language:Python11111

• kothasuhas/understanding-forgetting

  Understanding Catastrophic Forgetting in Language Models via Implicit Inference

  Language:Python9113

• zijian678/TDD

  Language:Python7

• luffy06/ReFusion

  [ICLR 2024] ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

  Language:Python3101

• xlhex/acl2024_xicl

  Language:Python2111