# thu-vu92/local-llms-analyse-finance

<https://repo.masters-masters.com/en/repos/thu-vu92/local-llms-analyse-finance>

[Home](https://repo.masters-masters.com/en) › [thu-vu92](https://repo.masters-masters.com/en/owners/thu-vu92) › [local-llms-analyse-finance](https://repo.masters-masters.com/en/repos/thu-vu92/local-llms-analyse-finance)

thu-vu92/local-llms-analyse-finance has 876 stars on GitHub. Its RepoMasters card: Beta tier. In this project, I explored how local LLMs can be used to label…

| Field | Value |
| --- | --- |
| Owner | [thu-vu92](https://repo.masters-masters.com/en/owners/thu-vu92) |
| Stars | 876 |
| Forks | 239 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [thu-vu92/local-llms-analyse-finance](https://github.com/thu-vu92/local-llms-analyse-finance) |

## Repository

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.