January 2025 – hugggingface/smol-course monthly summary focusing on feature delivery and localization across VLM, LightEval, and Vietnamese docs. This sprint delivered core model tooling, evaluation guidance, and multilingual documentation to accelerate onboarding and broaden user adoption. 1) Key features delivered: - Vision Language Models (VLM) module introduction and usage: Initialize VLM with markdown docs, usage guidance, and sample notebooks; includes a fine-tuning notebook with SFTTrainer. Commits: 8d2229a5409fd652513a5de80a4d975fe1f51b37; e64d0720c69d1673fb8f1fa172403789121c12cf; ea34cd43bf24e3c4cf0f3561e9dea15996e27ae3. - LightEval domain-specific evaluation documentation: Documentation for designing evaluation strategies, custom tasks/metrics, datasets for domain evaluation. Commit: 30a81a08baa3160dd072e59da32c56f2cf538ef3. - Vietnamese localization across project documentation and notebooks: Translate and localize documentation and notebooks to Vietnamese for Lighteval, VLM, synthetic datasets, and instruction tuning workflows. Commits: ca3eaf0b58d218420d17b708059a17636e0f7c52; 7d09c5de9ab3f393bf1126a11a96c053b7f2f280; 09f3b2fff778f51c1a1231b10f2a1fab2c0b9dd3; 82b6e35920f693dfd8292409db87f557ac53ee0c; 1ba2cd194d92c453e10df95f356394247e510227; 5ba100b1e0effca7d969c0b9a817ea21a6a102f9; eece21a7cdba75c15ebdd9f1ae5431b939699098; e83f139cb99ca8ac0761c69623e5ae0433241b11. 2) Major bugs fixed: - No major bugs fixed this month. Focused on feature delivery, documentation, and localization to improve reliability and onboarding. 3) Overall impact and accomplishments: - Expanded platform capabilities with VLM tooling, and formalized domain evaluation planning via LightEval docs. - Significantly improved onboarding and accessibility through Vietnamese localization across core docs and notebooks. - Created reproducible samples and guidance (notebooks and SFTTrainer usage) to accelerate model experimentation and evaluation. 4) Technologies/skills demonstrated: - Markdown documentation, Jupyter notebooks, HuggingFace SFTTrainer, domain evaluation design, datasets and metrics planning, translation/localization, documentation engineering, cross-module integration. 5) Business value: - Shortened time-to-first-value for VLM experiments and domain evaluation. - Expanded international user base with Vietnamese-facing docs; reduced language barriers for collaboration. - Improved maintainability and speed of development via consistent docs and ready-to-run examples.

2024-12 Monthly Performance Summary: Delivered two major feature suites across HuggingFace and Ichigo repositories, along with targeted reliability and documentation improvements that collectively accelerate onboarding, reduce maintenance cost, and support broader, multilingual adoption. Business-value focused highlights follow. Key initiatives: - HuggingFace/smol-course: Established an Instruction Tuning Course with foundational docs and SFT notebooks, plus Vietnamese translations to broaden accessibility. Also documented Fine-Tuning Methods (DPO/ORPO/PEFT) with sample notebooks to enable practitioners to experiment with advanced fine-tuning techniques. - MenloResearch/ichigo: Released Ichigo Whisper v0.1 with submodule integration, updated READMEs/history, and added submodule references for clean dependency management. In parallel, fixed documentation issues (README image references and naming), removed deprecated training components to reduce confusion, and improved repository structure and README hygiene. Impact and value: - Accelerated learner onboarding and multilingual support for instruction tuning workflows. - Reduced maintenance and technical debt by removing outdated components and reorganizing documentation. - Established repeatable release and integration patterns (submodules, history tracking) to support future model iterations. Technologies and skills demonstrated: - Instruction tuning, supervised and parameter-efficient fine-tuning (SFT, DPO/ORPO/PEFT) - Multilingual documentation and translation support; submodule management; repository hygiene; release readiness.