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AtlasRepo

hiyouga/LlamaFactory — Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Description and use

hiyouga/LlamaFactory: hiyouga/LlamaFactory helps add AI capability without starting from a blank model stack.. Use it for prototype AI features; build RAG or agent workflows. Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Problem

hiyouga/LlamaFactory helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

  • prototype AI features
  • build RAG or agent workflows
  • evaluate model tooling

Evidence

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Source

  • Record date: 2026-09-17T13:45:36.188Z