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Self-contained PyTorch example, escaped regex ranges
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English comments: the published copy is read internationally
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Table shows both formats and their real sizes
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File table and a snippet per format
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Document the PyTorch path
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PyTorch weights as safetensors, with the architecture module
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Add the pip line; Colab needs it
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Apache-2.0, matching the teacher models
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Card: state corpus provenance and what is released
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English card: live demo up top, tested Python example
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Card: full precision, no quantisation
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Full precision for every rung: no quantisation anywhere
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Per-channel int8 for the two large rungs, fp32 for the rest
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Delete ruq-30m-int8.onnx with huggingface_hub
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Delete ruq-15m-int8.onnx with huggingface_hub
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Delete ruq-5m-int8.onnx with huggingface_hub
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Delete ruq-2m-int8.onnx with huggingface_hub
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Delete ruq-0.7m-int8.onnx with huggingface_hub
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Add tokenizer_config.json and config.json
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ONNX int8 ladder + tokenizer
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initial commit
