SaaSHub helps you find the best software and product alternatives Learn more →
Alpaca_eval Alternatives
Similar projects and alternatives to alpaca_eval
-
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
Local-LLM-Comparison-Colab-UI
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
-
alpaca_farm
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
-
-
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
-
medmcqa
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
-
language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
-
-
-
FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
alpaca_eval discussion
alpaca_eval reviews and mentions
-
MT-Bench: Comparing different LLM Judges
Another popular option for LLM evaluation is AlpacaEval. This one uses a newer and cheaper GPT-4 Turbo model as a baseline. The authors of AlpacaEval provided correlation coefficients of different evals with LMSYS Arena showing a strong association between LLM judges' scores and human preferences at the Arena:
-
UltraLM-13B reaches top of AlpacaEval leaderboard
Alpaca Eval is open source and was developed by the same team who trained the alpaca model afaik. It is not like what you said in the other comment
-
[P] AlpacaEval : An Automatic Evaluator for Instruction-following Language Models
I have been going deep in this space for my can-ai-code project and was looking at the config that WizardLM was run with: https://github.com/tatsu-lab/alpaca_eval/blob/main/src/alpaca_eval/models_configs/wizardlm-13b/configs.yaml
an automatic evaluator that is easy to use, fast, cheap and validated against 20K human annotations. It actually has a higher agreement with majority vote of humans than a single human annotator! Of course, our method still has limitations which we discuss here!
-
A note from our sponsor - SaaSHub
www.saashub.com | 15 Aug 2026
Stats
tatsu-lab/alpaca_eval is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of alpaca_eval is Jupyter Notebook.