Tiny random Mistral4, pre-quantized with a per-layer plan: fp8 (block 16x16) on attention and routed experts, nvfp4 on shared experts. dense_reference.pt holds the bf16 weights before quantization; make.py rebuilds it.

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Model size
2.01M params
Tensor type
F32
路
BF16
路
F8_E4M3
路
U8
路
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