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GrillyCompression
Activation, KV-cache, and communication compression pipelines — optional grilly extension.
Features
- Block DCT Codec — 4x4 DCT + scalar quantization with configurable error bounds
- Activation Compression — 30-60% VRAM savings on intermediate tensors
- KV-Cache Compression — 3-5x compression on cached K/V pages
- Communication Compression — 19-37% gradient volume reduction for multi-GPU
- Adaptive Quality — tight bounds for embeddings, looser for FFN activations
- Error Feedback — residual compression for gradient communication
Quick Start
pip install grillycompression
from grillycompression import BlockDCTCodec, ActivationCompressor, KVCacheCompressor
# Compress activations
compressor = ActivationCompressor(quality=32, adaptive=True)
compressed = compressor.compress(activation_tensor, layer_type="activation")
restored = compressor.decompress(compressed)
# Compress KV-cache pages
kv_comp = KVCacheCompressor(quality=48)
compressed_page = kv_comp.compress_page(k_data, v_data)
k_restored, v_restored = kv_comp.decompress_page(compressed_page)
Requirements
- Python 3.12+
- grilly >= 0.4.0
- numpy
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for grillycompression 0.1.0
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