TernaryLM: Memory-Efficient Language Modeling via Native 1.5-Bit Quantization with Adaptive Layer-wise Scaling

Documenti analoghi

• Neural Orchestration for Multi-Agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-Domain Task Environments
  di: Agrawal, Kushagra, et al.
  Pubblicazione: (2025)
• Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search
  di: Agrawal, Kushagra, et al.
  Pubblicazione: (2025)
• Layer-wise Regularized Dropout for Neural Language Models
  di: Ni, Shiwen, et al.
  Pubblicazione: (2024)
• LM2: Large Memory Models
  di: Kang, Jikun, et al.
  Pubblicazione: (2025)
• ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
  di: Guo, Wenbin, et al.
  Pubblicazione: (2025)