I'm trying to quantize Qwen3-14B using GPTQ with W4A16 settings. My calibration dataset contains 1,024 samples, each with a sequence length of 4,096 tokens. My hardware setup: 1× NVIDIA A100 80GB GPU ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Notice how the output includes only the first String the Java Scanner read. The rest of the text ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The Java Scanner class provides methods that take String input and convert that String into any ...
We experiment with three diverse structured commonsense generation tasks: (i) script generation (PROSCRIPT, Section 3.2), (ii) entity state tracking (PROPARA, Section 3.3), and (iii) explanation graph ...
Artificial intelligence (AI) has been successful in numerous areas including speech recognition, automatic classification, language translation, Chess, Go, facial recognition, disease diagnosis, drug ...
Tools designed for rewriting, refactoring, and optimizing code should prioritize both speed and accuracy. Large language models (LLMs), however, often lack these critical attributes. Despite these ...
Generative artificial intelligence has become a powerful tool for enhancing productivity and tackling everyday tasks. These tools can create new content, including text, images and even code, based on ...
In-context learning (ICL) in large language models (LLMs) utilizes input-output examples to adapt to new tasks without altering the underlying model architecture. This method has transformed how ...
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