llamafactory
Latest Version: v0.9.4hiyouga/LlamaFactory is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 67431 stars, 8208 forks, and...
Owner: hiyouga
Stars
67.4k
GitHub star count
Last Release
3 months ago
v0.9.4
Contributors
100
N/A
Health Score
N/A
N/A
Key Features
agent
ai
deepseek
fine tuning
gemma
Tech Stack
About
hiyouga/LlamaFactory is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 67431 stars, 8208 forks, and...
hiyouga/LlamaFactory is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 67431 stars, 8208 forks, and 916 open issues. Topics: agent, ai, deepseek, fine-tuning, gemma. Matched search heuristics: topic:ai stars:>=105 pushed:>=2026-02-08 archived:false fork:false mirror:false. Metadata is enriched asynchronously by the refresh pipeline.
Analyst Note
LlamaFactory v0.9.4 introduces Python 3.11+ support, uv-based installation, OFT fine-tuning, Megatron-LM & KTransformers backends, and 20+ new models including Qwen3 and GLM-4.6V.
Best For
- Technical stack evaluation for engineering teams
- Dependency governance and upgrade planning in production systems
- Track delivery cadence and release quality from hiyouga
- agent
Not Ideal For
- Large open issue backlog.
Typical Use Cases
Decision Snapshot
- Product type: Open Source
- Primary language: Python
- Pricing model: Free
- License: Apache-2.0
- Last Release: 12/31/2025
Data Basis
- Last Sync: Feb 22, 2026, 03:26 PM
- Metrics Updated: Feb 22, 2026, 03:26 PM
- Completeness: 100%
- Last Verified: Feb 22, 2026, 03:26 PM
Data Status
Pros & Cons
Pros
- Strong community adoption.
- Broad maintainer participation.
- Active maintenance cadence.
Cons
- -Large open issue backlog.