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NVIDIA/Model-Optimizer is an open-source Python library on GitHub that collects state-of-the-art model optimization techniques, including quantization, distillation, pruning, neural architecture search and speculative decoding. It compresses deep learning models so they run efficiently in deployment frameworks such as TensorRT-LLM, TensorRT and vLLM, improving inference speed. It is trending on GitHub's rankings with modest engagement, and the posts shown only describe the project itself, so there is no evidence of a specific event driving attention.
- 2Moroccan Chicken and Prunes Recipe Gains Attention●Savor The Moroccan Flavors With This Chicken And Prunes Dish! # food # cooking # recipe # Fediverse # flipboardusergroup
Food writer Giangi Kitchen is sharing a recipe for Moroccan chicken with prunes, a classic sweet-savory dish of chicken braised with dried prunes, onions and warm spices such as cinnamon and saffron. The recipe is being circulated among home cooks as an easy fall dinner option, with readers trading the dish as part of a wider interest in North African and Moroccan home cooking.
- 3Low-Maintenance Shrub Promises Year-Round Garden Interest▼This Low-Maintenance Shrub Brings A Fresh Look To The Garden Every Season
A gardening article highlights a shrub that needs little care while keeping the garden attractive in every season, from spring foliage to winter structure. It is being shared among home gardeners looking for easy, four-season planting ideas that deliver color and form without constant pruning, watering, or fuss.
Repos
- NVIDIA/Model-Optimizer A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture se
- tamaratran/fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one
- volotat/mini-AGI Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.