This is the Windows app named WASTE whose latest release can be downloaded as v0.6.6sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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WASTE
DESCRIPTION
WASTE is an embeddable C inference engine for running extremely large mixture-of-experts models when the weights exceed available RAM. It keeps the shared model trunk in memory and streams only the experts selected for each token from fast NVMe storage. A bounded cache reuses recently needed experts, while lookahead routing begins disk reads before the next layer requires them. Its main target is the full 2.78-trillion-parameter Kimi K3 model, including multimodal image input. The engine has no third-party runtime dependency on its CPU inference path and exposes both a CLI and C library. An optional server provides an OpenAI-compatible chat API with streaming, tools, structured output, and image support. Validation compares layers, logits, vision output, and prompt rendering against reference implementations.
Features
- NVMe-streamed mixture-of-experts inference
- Full Kimi K3 model support
- Bounded expert caching and lookahead routing
- Dependency-free C CPU inference path
- CLI, embeddable library, and HTTP server
- Multimodal text and image inference
Programming Language
C
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/waste.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
