yuchenlin / LLM-BlenderLinks
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
☆947Updated 8 months ago
Alternatives and similar repositories for LLM-Blender
Users that are interested in LLM-Blender are comparing it to the libraries listed below
Sorting:
- Code for fine-tuning Platypus fam LLMs using LoRA☆629Updated last year
- [ICLR 2024] Lemur: Open Foundation Models for Language Agents☆550Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆698Updated last year
- LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions☆819Updated 2 years ago
- LOMO: LOw-Memory Optimization☆987Updated 11 months ago
- Official repository for LongChat and LongEval☆521Updated last year
- Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".☆799Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,499Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆813Updated 11 months ago
- ☆756Updated last year
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,132Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and bench…☆589Updated last year
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆653Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,773Updated 5 months ago
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,447Updated last year
- Generative Representational Instruction Tuning☆654Updated 3 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆703Updated 8 months ago
- [ACL 2024] Progressive LLaMA with Block Expansion.☆505Updated last year
- A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research …☆977Updated 6 months ago
- Codebase for Merging Language Models (ICML 2024)☆833Updated last year
- ☆520Updated 7 months ago
- Expanding natural instructions☆1,006Updated last year
- Build, evaluate, understand, and fix LLM-based apps☆489Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆563Updated last year
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆503Updated 4 months ago
- ☆270Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated last year
- Customizable implementation of the self-instruct paper.☆1,044Updated last year