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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

github.com/MetaGLM/FinGLM · HTML 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
MetaGLM/FinGLMmain27

For agents

markdown · JSON · MCP: product_card(name="MetaGLM/FinGLM")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem