EdgeLLM-Nano: Auditing Polar-Guided Key-Cache Compression and Consistency-Anchored Pruning on a 33.6 MB On-Device Language Model
cs.CL
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration
- Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
- KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
- Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving
- Accelerating Sparse Deep Neural Networks
- GLU Variants Improve Transformer
- TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
- LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi
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