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A Python toolkit integrating 10 KV cache compression methods, supporting 5-80x compression ratios, enabling larger models, longer contexts, and more agents to run on consumer GPUs.
Section 01
A Python toolkit integrating 10 KV cache compression methods, supporting 5-80x compression ratios, enabling larger models, longer contexts, and more agents to run on consumer GPUs.
Section 02
During large language model (LLM) inference, the Key-Value (KV) Cache is one of the components that consumes the most memory. A model with 32 billion parameters requires over 8GB of memory just for the KV cache when processing 32K context. This has become a major bottleneck for deploying large models on consumer GPUs.
The Multi-TurboQuant project was created to address this issue; it provides a unified toolkit integrating 10 different KV cache compression methods, allowing users to flexibly choose based on their hardware conditions and quality requirements.
Section 03
The project includes four method families with a total of 10 specific implementations:
Section 04
Quantization methods based on Walsh-Hadamard transform, offering compression options from 2.25 to 4.25 bits:
Section 05
Quantization methods based on quaternion 4D rotation, usable without calibration:
Section 06
Quantization methods based on Givens 2D rotation, also usable without calibration:
Section 07
Token elimination mechanism based on DFT, achieving 10-16x compression ratio; combined with other methods, it can reach a total compression ratio of about 80x.
Section 08
All methods have been validated on RTX 3090 using real CUDA tensor tests:
| Method | Cosine Similarity | Compression Ratio | GPU Validated |
|---|---|---|---|
| turbo2 | 0.9420 | 5.8x | ✅ |
| turbo3 | 0.9817 | 4.0x | ✅ |
| turbo4 | 0.9947 | 3.2x | ✅ |
| iso3 | 0.9783 | 4.7x | ✅ |
| iso4 | 0.9951 | 3.7x | ✅ |
| planar4 | 0.9952 | 3.7x | ✅ |
| TriAttn + iso3 | 0.9782 | 9.5x | ✅ |
The test suite includes 77 automated tests (68 CPU tests +9 GPU tests) to ensure the correctness of each method in terms of encoding/decoding, configuration, presets, and integration.
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