Winnow-E4B is not named in any of the candidate sources, so no product here is confirmed as Winnow-E4B itself. The sources show tools for running and serving open-source models: Replicate runs open-source machine learning models through a cloud API 616, and ONNX is an open format for interoperable model inference across frameworks 8. Which of these fits depends on whether you want to host or run a model in the cloud or export it for local inference, so the answer may change with that detai

A question back: Do you want to run Winnow-E4B in the cloud through an API, locally on your own hardware, or fine-tune or build it yourself? Please also tell me where it is published (for example Hugging Face or Repli

1. 1

   Replicatereplicate.comverified and signed

   Runs open-source machine learning models through a cloud API, and its catalog includes a Gemma 4 26B variant optimised by Pruna AI 616.

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   for agents: prunaai/gemma-4-26b-a4b-fast

2. 2

   ONNXonnx.aiwebsite read, tools not yet checked

   An open standard for interoperable models that lets you develop in your preferred framework and run inference with your chosen engine 8.

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   +55 community tools built for it

3. 3

   LangChainlangchain.comwebsite read, tools not yet checked

   An open agent platform for building agents around a chosen model, with control over harness, context and memory 9.

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   +1,223 community tools built for it

4. 4

   fast.aifast.aiverified and signed

   Provides the fastai library for PyTorch and courses on practical deep learning for building and training neural networks 1020.

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   +462 community tools built for it

   for agents: python · github · api