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Search results for instruction following
instruction-following
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23 search results found
Stanford_alpaca
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24,846
Code and documentation to train Stanford's Alpaca models, and generate the data.
Lmflow
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7,589
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Awesome Multimodal Large Language Models
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7,037
✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
Awesome Instruction Dataset
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922
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
Alpaca_eval
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899
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Knowlm
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870
An Open-sourced Knowledgable Large Language Model Framework.
Llmagentpapers
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795
Must-read Papers on LLM Agents.
Alpaca_farm
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623
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Phogpt
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598
PhoGPT: Generative Pre-training for Vietnamese (2023)
Instruction Tuning Papers
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555
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
Instructgpt Prompts
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329
A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.
Magicbrush
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184
Dataset, code and models for the paper "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
Lion
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172
Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"
Mol Instructions
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116
Mol-Instructions is a Large-Scale Biomolecules Instruction Dataset for Large Language Models.
Wangchanglm
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83
WangChanGLM 🐘 - The Multilingual Instruction-Following Model
Alpaca 7b Chinese
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70
Finetune LLaMA-7B with Chinese instruction datasets
Dreamergpt
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42
🌱 梦想家(DreamerGPT):中文大语言模型指令精调
Awesome Multimodal Chatbot
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30
Awesome Multimodal Assistant is a curated list of multimodal chatbots/conversational assistants that utilize various modes of interaction, such as text, speech, images, and videos, to provide a seamless and versatile user experience.
Followbench
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22
Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models"
Moca
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21
MOCA (Modular Object-Centric Approach) addresses the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.
Reform Eval
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19
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
Alpagasus
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14
A better Alpaca Model Trained with Less Data (only 9k instructions of the original set)
Cg Vlm
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8
This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.
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1-23 of 23 search results
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