May 2026 performance summary for DS4SD/docling: Delivered a major upgrade to the Granite Vision model (4.1) across table-structure and chart extraction, improving extraction accuracy and compatibility with CUDA options. Implemented robust weight handling for pre-merged 4.1 weights and safeguarded merge_lora_adapters. Fixed observability and reliability with a corrected 4.1 model log message. Hardened chart extraction by adding a tolerant CSV parsing fallback when V4 outputs omit a csv fence. Updated documentation and catalog entries to reflect Granite Vision 4.1-4b. These changes reduce downstream validation work, increase automation reliability, and enable better data-to-insight workflows.

April 2026 delivered IBM Granite Vision-based table structure extraction for DS4SD/docling, enabling robust VLM-driven parsing of table structures from document images. Implemented GraniteVisionTableStructureModel with configurable options, integrated into the existing engine catalog, and provided end-to-end tooling and tests (examples, CI updates) to ensure reliability. This work enhances automated document processing for tables, improving accuracy and throughput for downstream analytics and indexing. Demonstrated proficiency in ML-assisted document understanding, model catalog integration, and full-stack support (docs, tests, examples, CI).

February 2025 monthly summary for huggingface/cookbook: Focused on delivering end-to-end Granite Vision fine-tuning capability and improving training stability, plus documentation. Key outcomes include a new Granite Vision fine-tuning recipe using TRL for Geometric Perception Line Comparison, defaults for QLoRA/LoRA with CPU offloading, and PeftModel-based merging/unloading. Documentation updates refine system prompts and notebooks, and added an index entry for granite vision fine-tuning.