yuchenlin / LLM-Blender
[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.
☆934Updated 6 months ago
Alternatives and similar repositories for LLM-Blender:
Users that are interested in LLM-Blender are comparing it to the libraries listed below
- Code for fine-tuning Platypus fam LLMs using LoRA☆629Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆806Updated 9 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- LOMO: LOw-Memory Optimization☆985Updated 9 months ago
- LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions☆821Updated last year
- Official repository for LongChat and LongEval☆519Updated 11 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,470Updated last year
- [ICLR 2024] Lemur: Open Foundation Models for Language Agents☆545Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆628Updated 9 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,114Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆692Updated last year
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,129Updated last year
- [NIPS2023] RRHF & Wombat☆806Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆488Updated last year
- ☆269Updated 2 years ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆555Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆679Updated 6 months ago
- ☆444Updated 2 years ago
- Tune any FALCON in 4-bit☆466Updated last year
- ☆1,028Updated last year
- This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and bench…☆586Updated last year
- Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".☆791Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆482Updated 10 months ago
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,425Updated last year
- Customizable implementation of the self-instruct paper.☆1,043Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated last year
- ☆1,246Updated 11 months ago
- Codebase for Merging Language Models (ICML 2024)☆816Updated 11 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆651Updated 10 months ago
- Dromedary: towards helpful, ethical and reliable LLMs.☆1,141Updated last year