Training large, deep neural networks to convergence can be prohibitively expensive. As a result, often only a small selection of popular, dense models are reused across different contexts and tasks. Increasingly, sparsely activated models, which seek...
Multi-query attention (MQA), which only uses a single key-value head, drastically speeds up decoder inference. However, MQA can lead to quality degradation, and moreover it may not be desirable to train a separate model just for faster inference. We...
less restrained crossings (e.g. the Schengen Agreement). Land border checkpoints (land ports of entry) can be contrasted with the customs and immigration
Does anyone recommending using Pony newer checkpoints or stick to IL? ...
1 day ago · Terrified residents of Iran's capital described it as a ghost town on Tuesday, its streets largely emptied by a U.S.-Israeli missile barrage apart from security checkpoints and Revolutionary ...
Hello everyone, I’ve been training character LoRAs for a while to generate adult content. However, I’m looking for a model on SD 1.5 that can produce the best **realistic** nudity results. I feel ...
Object detection task. Detect various objects (including dangerous ones like guns, knives etc ) present in bags from X-ray images of bags. Such systems may be used in airport or railway station security checkpoints. (⭐ 11)
Serving many task-specialized LLM variants is often limited by the large size of fine-tuned checkpoints and the resulting cold-start latency. Since fine-tuned weights differ from their base model by relatively small structured residuals, a natural ap...
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the model. (⭐ 2688)
Ive searched hundreds of crates, cars, busses and power generators. Every single raid on Dam I go to the scrapyard or checkpoints on blue gate and search everything. I search every single industrial a...
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints. (⭐ 357)
We introduce Neural Organ Transplantation (NOT), a modular adaptation framework that enables trained transformer layers to function as reusable transferable checkpoints for domain adaptation. Unlike conventional fine-tuning approaches that tightly co...
Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)" (⭐ 100)