MetaGLM/FinGLM
FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目,利用开源开放来促进「AI+金融」。 observed · 2026-08-28
Health v2 · maintenance only
27/100
- Activity 0
- Release rhythm 35
- Longevity 76
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1073
- days_rel: n/a
- days_push: 847
- n_releases_24m: 0
Adoption not part of the score
2258 stars · 313 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FinGLM is an open, community-driven financial LLM project centered on a dialog-based question-answering system that analyzes Chinese listed-company annual reports. It bundles an end-to-end pipeline (PDF-to-text parsing, structuring data into SQL/MongoDB/Elasticsearch, ChatGLM fine-tuning with P-Tuning v2 and LoRA, and retrieval-augmented answer generation) together with a 70 GB annual-report dataset, 10,000 annotated evaluation samples, and multiple competition-winning solutions plus course materials.
Use cases
- answer questions about a company's annual report with an LLM
- build a financial question-answering chatbot over company filings
- fine-tune ChatGLM on financial documents
- find an open dataset of Chinese listed-company annual reports
- extract and structure financial data from PDF annual reports
- learn how to apply large language models to financial analysis
- evaluate LLMs on financial QA using annotated benchmark data
When to choose
- You want an end-to-end reference implementation for QA over Chinese listed-company annual reports
- You need the open 70 GB annual-report corpus and 10,000 human-annotated evaluation samples
- You want to compare multiple competition-winning fine-tuning and RAG approaches side by side
When to avoid
- You need production-grade software with clear licensing - the repository has no license, so reuse rights are uncertain
- You need English-language filings or non-Chinese financial documents
- You want a turnkey, actively maintained financial assistant rather than competition code and learning materials
Facets
application · maturity maintenance
rag llm-training llm-inference chatbot nlp machine-learning pdf database search-engine prompt-engineering artificial-intelligence large-language-models fintech machine-learning data-science python cross-platform financial-analysis annual-reports chatglm fine-tuning question-answering document-qa financial-dataset chinese lora ptuning competition-solutions finance natural-language-processing gpu
1 source
- readme: https://github.com/MetaGLM/FinGLM · fetched 2026-08-28 · c88ac8e0f206
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MetaGLM/FinGLM | main | 27 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem