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Search results for large language models instruction tuning

instruction-tuning x

large-language-models x

29 search results found

Llama Factory ⭐ 10,715

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

Llmsurvey ⭐ 7,255

The official GitHub page for the survey paper "A Survey of Large Language Models".

Awesome Multimodal Large Language Models ⭐ 7,037

✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

Next Gpt ⭐ 2,602

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

Mplug Owl ⭐ 1,657

[Official Implementation] mPLUG-Owl & mPLUG-Owl2: Alibaba MLLM Family.

Data Juicer ⭐ 994

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据！

An Open-sourced Knowledgable Large Language Model Framework.

Crosslingual Generalization through Multitask Finetuning

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

Awesome Instruction Learning ⭐ 336

Papers and Datasets on Instruction Tuning and Following. ✨✨✨

Graphgpt ⭐ 328

"GraphGPT: Graph Instruction Tuning for Large Language Models"

Bayling ⭐ 258

“百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型，具有优越的英语/中文能力，在多语言 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.

Awesome Multimodal Llm ⭐ 243

Research Trends in LLM-guided Multimodal Learning.

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

🐳 Aurora is a [Chinese Version] MoE model. Aurora is a further work based on Mixtral-8x7B, which activates the chat capability of the model's Chinese open domain.

Step_into_llm ⭐ 211

MindSpore online courses: Step into LLM

Instruction Datasets ⭐ 185

All available datasets for Instruction Tuning of Large Language Models

Data_management_llm ⭐ 101

Collection of training data management explorations for large language models

[Paper][Preprint 2023] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

[Paper][Preprint 2023] Making Large Language Models Perform Better in Knowledge Graph Completion

An open-source conversational language model developed by the Knowledge Works Research Laboratory at Fudan University.

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

Source code of paper 'Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors' (ACL 2023 Findings)

Reform Eval ⭐ 19

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

Lm Research Hub ⭐ 14

Language Modeling Research Hub, a comprehensive compendium for enthusiasts and scholars delving into the fascinating realm of language models (LMs), with a particular focus on large language models (LLMs)

Diverseevol ⭐ 12

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

Deep Learning Paper ⭐ 9

These are papers that I read and reviewed related to NLP, CV, and Deep Learning 😉 You can check paper links and my reviews 😊

This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

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