specific method · filed under software implementation
AngelSlim
A toolkit for large-model compression that supports quantization and speculative sampling.
Also called AngelSlim compression toolkit, AngelSlim toolkit.
- sources
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- models
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- lab adopt it
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How sources treat it
One count per evidence span, weakest treatment to strongest.
Documented in
Evidence
2 spans quoted from the sources, strongest treatment first.
We provide AngelSlim, a more accessible, comprehensive, and efficient toolkit for large model compression. AngelSlim supports a comprehensive suite of compression tools for large-scale multimodal models, including common quantization algorithms, low-bit quantization, and speculative sampling.
The research team points to its AngelSlim toolkit. AngelSlim covers quantization, low-bit methods, and speculative sampling.
Filed alongside
Other methods under software implementation :: kernel & quantization library.