Qwen-2.5
Emerging5papers using it
2025first seen
The 'Qwen2.5' dataset/benchmark is used to evaluate the performance of large language models, specifically in the context of applying synergistic sparse and low-rank compression methods.
Papers using Qwen-2.5 (5)
- 1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language ModelsPRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday
Home ClustersUniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMsTRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven PruningBridging the LLM Accessibility Divide? Performance, Fairness, and Cost
of Closed versus Open LLMs for Automated Essay Scoring