funsloth-hfjobs
Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring
What this skill does
# Hugging Face Jobs Training Manager
Run Unsloth training on Hugging Face Jobs (cloud GPU training).
## Prerequisites
1. **HF Authentication**: `huggingface-cli whoami` (login if needed)
2. **HF Jobs Access**: Requires PRO subscription or org compute access
3. **Training notebook/script**: From `funsloth-train`
## Workflow
### 1. Select Hardware
| GPU | VRAM | Cost | Best For |
|-----|------|------|----------|
| A10G | 24GB | ~$1.50/hr | 7-14B LoRA |
| A100 40GB | 40GB | ~$4/hr | 14-34B |
| A100 80GB | 80GB | ~$6/hr | 70B |
| H100 | 80GB | ~$8/hr | Fastest |
See [references/HARDWARE_GUIDE.md](references/HARDWARE_GUIDE.md) for model-to-GPU mapping.
### 2. Convert Notebook to Script
HF Jobs requires PEP 723 script format:
```python
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git",
# "torch>=2.0",
# "transformers>=4.45",
# "trl>=0.12",
# "peft>=0.13",
# "datasets>=2.18",
# ]
# ///
```
Use [scripts/train_sft.py](scripts/train_sft.py) as a template.
### 3. Optional: WandB Integration
Add to script:
```python
import wandb
wandb.init(project="funsloth-training")
# Add report_to="wandb" in TrainingArguments
```
Set: `export WANDB_API_KEY="your-key"`
### 4. Estimate Costs
Use the cost estimator:
```bash
python scripts/estimate_cost.py --tokens {total_tokens} --platform hfjobs
```
### 5. Launch Job
```bash
# Create job config
cat > job_config.yaml << 'EOF'
compute:
gpu: {gpu_type}
gpu_count: 1
script: train_hfjobs.py
outputs:
- /outputs/*
EOF
# Submit
huggingface-cli jobs create --config job_config.yaml
```
### 6. Monitor Progress
```bash
huggingface-cli jobs status {job_id}
huggingface-cli jobs logs {job_id} --follow
```
WandB: `https://wandb.ai/{username}/funsloth-training`
### 7. Download Artifacts
```python
from huggingface_hub import snapshot_download
snapshot_download(repo_id="{username}/funsloth-job", local_dir="./outputs")
```
### 8. Handoff
Offer `funsloth-upload` for Hub upload with model card.
## Error Handling
| Error | Resolution |
|-------|------------|
| No HF Jobs access | Get PRO subscription |
| OOM | Reduce batch size or upgrade GPU |
| Job timeout | Enable checkpointing |
| Script error | Check PEP 723 dependencies |
## Bundled Resources
- [scripts/train_sft.py](scripts/train_sft.py) - PEP 723 script template
- [scripts/estimate_cost.py](scripts/estimate_cost.py) - Cost estimation
- [references/PLATFORM_COMPARISON.md](references/PLATFORM_COMPARISON.md) - HF Jobs vs alternatives
- [references/HARDWARE_GUIDE.md](references/HARDWARE_GUIDE.md) - VRAM requirements
- [references/TROUBLESHOOTING.md](references/TROUBLESHOOTING.md) - Common issues
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