tatsu-lab / alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
☆1,724Updated 3 months ago
Alternatives and similar repositories for alpaca_eval:
Users that are interested in alpaca_eval are comparing it to the libraries listed below
- YaRN: Efficient Context Window Extension of Large Language Models☆1,468Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,391Updated last year
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆1,978Updated last year
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,718Updated 8 months ago
- [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.☆2,190Updated last week
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,177Updated this week
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,503Updated 2 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,723Updated last year
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,425Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆873Updated 2 months ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆806Updated 9 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,530Updated 8 months ago
- ☆749Updated 10 months ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,151Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,051Updated 10 months ago
- A framework for the evaluation of autoregressive code generation language models.☆932Updated 5 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆833Updated last week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,829Updated 8 months ago
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,438Updated last week
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,516Updated 2 weeks ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,508Updated last year
- LOMO: LOw-Memory Optimization☆985Updated 9 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,817Updated last year
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,148Updated 11 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆934Updated 6 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆482Updated 9 months ago
- Tools for merging pretrained large language models.☆5,571Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,240Updated last month