nanoVLM
nanovlm-fdd9b742·2 events·first seen 28d agoAliases: nanoVLM
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nanoVLM: Minimal Pure-PyTorch Repository for Training Vision-Language Models
Hugging Face published nanoVLM, a minimal open-source repository designed to make training vision-language models (VLMs) as simple as possible using pure PyTorch. The project aims to lower the barrier to entry for VLM research and experimentation by providing a clean, readable codebase without heavy abstractions. It follows in the tradition of educational ML repositories like nanoGPT, targeting researchers and practitioners who want to understand or customize VLM training from scratch.
KV Cache from scratch in nanoVLM
This Hugging Face blog post walks through implementing a key-value (KV) cache from scratch within the nanoVLM framework, a minimal vision-language model codebase. The post serves as a technical tutorial explaining how KV caching works in transformer-based multimodal models and how to integrate it for inference efficiency. It targets practitioners seeking to understand the mechanics of KV caching in the context of VLMs rather than just using it as a black box.