Benchmarks / pixiu-flare
PIXIU / FLARE
An open-source financial LLM resource bundling the FinMA instruction-tuned models, a 136K-sample instruction dataset, and the FLARE evaluation benchmark.
- benchmark
- financial-llm
- instruction-tuning
- evaluation
- flare
added 2026-08-15 · MIT · external

Use this
$ git clone https://github.com/The-FinAI/PIXIUPrerequisites
Details
| authors | Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang |
|---|---|
| origin | external |
| license | MIT |
| tasks | sentiment-analysis, classification, knowledge-extraction, numerical-reasoning, summarization, credit-scoring, forecasting |
| markets | equities |
PIXIU released the first open financial LLM suite in three parts: FinMA, LLaMA-based models fine-tuned on financial instructions; FIT, an instruction dataset of 136K samples covering multiple financial tasks and document types; and FLARE, the evaluation benchmark that originally spanned five financial NLP tasks plus a prediction task over nine datasets (arXiv:2306.05443).
FLARE has since grown into the FinBen evaluation suite (~32 datasets across sentiment analysis, classification, knowledge extraction, numerical reasoning, summarization, credit scoring, and forecasting) with a public leaderboard; English, Spanish, and Chinese are covered. Models and evaluation datasets are published on Hugging Face under The FinAI organization.
Connections
Extended by: FinBen