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Quantization + Inference + Fine Tuning

53.0

Implement a custom KV cache compression layer using the Shannon limit approach described. Test performance gains on standard 7B-70B models.

+208
activeimplementation gap
kv-cachequantizationlegalfine-tuningoptimizationinference

Signals (5)

YHN13h ago

KV Cache Compression 900000x Beyond TurboQuant and Per-Vector Shannon Limit

YHN21h ago

We got 207 tok/s with Qwen3.5-27B on an RTX 3090

arXiv11h ago

Cross-Family Speculative Decoding for Polish Language Models on Apple~Silicon: An Empirical Evaluation of Bielik~11B with UAG-Extended MLX-LM

arXiv11h ago

Matched-Learning-Rate Analysis of Attention Drift and Transfer Retention in Fine-Tuned CLIP

arXiv11h ago

QU-NLP at QIAS 2026: Multi-Stage QLoRA Fine-Tuning for Arabic Islamic Inheritance Reasoning