InternScience / GraphGen
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Why this job: says: fine tuning; topics: llm-training, synthetic data
What it does
Key Features](#-key-features)) [//]: # (- 💰 [Cost Analysis](#-cost-analysis)) [//]: # (- ⚙️ [Configurations](#-configurations))
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 1,231
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0.post20250930
- Released 13 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 75% closed
- 11 still open
- Pull requests
- 124 merged
- 1 waiting
- Releases
- 2
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
Topics
- ai4science
- data-generation
- llm-training
- sft-data
- pretrain
- qa
- qwen
- sft
- knowledge-graph
- llm
- xtuner
- data-synthesis
Project record
- JobFine-tuning
- StatusListed
- Commits953
- Forks100
- Watching11
- Stars in 28 days+15
- CreatedJan 8, 2025
- First seen by usNov 7, 2026
- CheckedNov 9, 2026