Train an LLM on Latin using streaming datasets from FineWeb-2.
Demonstrates continued pretraining without downloading data.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Update dependency comments for clarity and consistency
- Remove pinned transformers version (4.57.0 is yanked)
- Import unsloth before other ML libraries for optimizations
- Let UV resolve latest compatible versions
- Use simple 'pip install unsloth' instead of git install
- Remove Docker image from HF Jobs examples
- Cleaner, more reproducible UV script
- UV handles all dependencies from script header
- Add iconclass-vlm-sft.py: Main training script with Unsloth optimizations
- Add submit_training_job.py: Helper for HF Jobs submission
- Add README.md: Comprehensive usage guide
Features:
- 2x faster training with Unsloth
- 4-bit quantization + LoRA
- Self-contained UV script
- Works with HF Jobs + Unsloth Docker image