Data & Research · GitHub ·14 ★

LLaMA3-Financial-Analyst

LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

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Details

Author
mirabdullahyaser
Category
Data & Research
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
14
First indexed
2026-05-15
Last active
2025-02-09
Directory sync
2026-05-15
@mirabdullahyaser

Overview

LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

Quick start

git

git clone https://github.com/mirabdullahyaser/LLaMA3-Financial-Analyst

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LLaMA3-Financial-Analyst can do

fine-tundataragembeddinganaly
  • Fine Tun — fine-tun task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Analy — analy task automation.

Frequently asked questions

What is LLaMA3-Financial-Analyst?
LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.
How do I install LLaMA3-Financial-Analyst?
Use git: `git clone https://github.com/mirabdullahyaser/LLaMA3-Financial-Analyst`. Full setup details on the source page linked above.
Is LLaMA3-Financial-Analyst open source?
LLaMA3-Financial-Analyst is published on GitHub.
What are alternatives to LLaMA3-Financial-Analyst?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LLaMA3-Financial-Analyst is sourced from GitHub, published by mirabdullahyaser.

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