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Author:
Andrew H. Bond
License:
MIT
Summary:
PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression
Latest version:
1.9.1
Required dependencies:
numpy
Optional dependencies:
black
|
cupy-cuda12x
|
faiss-cpu
|
jsonschema
|
nats-py
|
psycopg2-binary
|
pybind11
|
pytest
|
pyyaml
|
ruff
|
torch
|
vllm
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