henry1477/pcbslm-static-v2-unsloth-vlm

PCBSLM static-v2 Unsloth VLM

Portable multimodal Unsloth dataset for PCB layout/document-grounded training.

The JSONL splits use Unsloth/Gemma-style chat messages:

{
  "messages": [
    {"role": "user", "content": [
      {"type": "image", "image": "assets/raw_docs/.../images/page.png"},
      {"type": "text", "text": "instruction..."}
    ]},
    {"role": "assistant", "content": [
      {"type": "text", "text": "{...json answer...}"}
    ]}
  ]
}

Files

• data/vlm_train.jsonl: 4307 multimodal examples
• data/vlm_val.jsonl: 289 multimodal examples
• data/vlm_test.jsonl: 494 multimodal examples
• assets/raw_docs/: source documents, rendered pages, and figure crops referenced by examples/metadata
• assets/board_images/: board render images referenced by examples
• metadata_bundle.tar.gz: document/evidence/rule metadata with repo-relative asset paths

Unsloth Smoke Test

This was verified locally with unsloth/gemma-4-E2B-it using:

python scripts/smoke_train_unsloth_vlm.py \
  data/vlm_train.jsonl \
  --model-name unsloth/gemma-4-E2B-it \
  --limit 4 \
  --max-steps 2 \
  --max-images 1 \
  --max-seq-length 512 \
  --resize 256

If training outside a Hugging Face snapshot checkout, resolve image paths relative to the dataset root.

HF repo: henry1477/pcbslm-static-v2-unsloth-vlm