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Author:
The TurboPress authors
License:
Apache-2.0
Summary:
Certified low-bit LLM weight quantization: rotation + derived-exponent equilibration + trellis-coded quantization with Hessian error feedback, a packed Triton runtime, and a KL/top-1/perplexity measurement harness.
Latest version:
0.5.2
Required dependencies:
numpy
|
torch
Optional dependencies:
build
|
datasets
|
mkdocs
|
mkdocs-material
|
pynacl
|
pytest
|
ruff
|
safetensors
|
transformers
|
twine
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