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sdxl-quant-fp8

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sdxl-quant-fp8

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  1. Upload quant_sdxl_exps/sdxl_quant_artifacts_mxfp4_net2/net_2_mxfp4.irpa with huggingface_hub

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  1. Upload quant_sdxl_exps/sdxl_quant_artifacts_mxfp4_net2/net_2_mxfp4.irpa with huggingface_hub

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  2. Upload fp8_irpa/unet_quant_bias.irpa with huggingface_hub

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  1. Upload fp8_irpa/unet.irpa with huggingface_hub

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  7. Upload fp8_irpa/unet.irpa with huggingface_hub

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  11. Upload fp8_irpa/unet.irpa with huggingface_hub

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  14. Upload fp8_irpa/unet.irpa with huggingface_hub

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  1. Upload unet_int8_sdpa_fp8_ocp/params.safetensors with huggingface_hub

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  2. Upload unet_int8_sdpa_fp8_ocp/quant_params.json with huggingface_hub

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  1. Upload unet_int8_sdpa_fp8_vae_int8_v2/vae_quant_params.json with huggingface_hub

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  2. Upload unet_int8_sdpa_fp8_vae_int8_v2/vae_params.safetensors with huggingface_hub

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  1. Upload unet_int8_sdpa_fp8_vae_int8_v2/vae_params.safetensors with huggingface_hub

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  2. Upload unet_int8_sdpa_fp8_vae_int8_v2/params.safetensors with huggingface_hub

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  3. Upload unet_int8_sdpa_fp8_vae_int8_v2/quant_params.json with huggingface_hub

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  4. Upload unet_int8_sdpa_fp8_vae_int8_v2/vae_params.safetensors with huggingface_hub

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  5. Upload unet_int8_sdpa_fp8_vae_int8_v2/vae_quant_params.json with huggingface_hub

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  1. Create config.json⁠

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  1. Upload unet_int8_sdpa_fp8_vae_int8/vae_quant_params.json with huggingface_hub

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  2. Upload unet_int8_sdpa_fp8_vae_int8/unet_quant_params.json with huggingface_hub

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  3. Upload unet_int8_sdpa_fp8_vae_int8/vae_params.safetensors with huggingface_hub

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  4. Upload unet_int8_sdpa_fp8_vae_int8/unet_params.safetensors with huggingface_hub

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  1. Upload all_quant_int8_sdpa_fp8/params.safetensors with huggingface_hub

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  2. Upload all_quant_int8_sdpa_fp8/quant_params.json with huggingface_hub

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  1. [math_model] Make it more obvious that softmax scale comes from the quantizer

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  1. Create math_model.py

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  1. Upload nvidia_fp8_unet/params.safetensors with huggingface_hub

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  2. Upload nvidia_fp8_unet/quant_params.json with huggingface_hub

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  3. Upload nvidia_fp8_unet/results_mlperf.json with huggingface_hub

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  4. Upload nvidia_fp8_unet/args.json with huggingface_hub

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  1. Create config.json

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  2. Create config.json

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  3. Create config.json

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  4. Create config.json

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  1. Updated sdpa fp8 models

    nickfraser
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  1. Added models that are fully quantized with FP8.

    nickfraser
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  1. Added SDPA math model & test

    nickfraser
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  1. Fix names

    GiusFra
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  2. MI250 QKV fused and all linear layers sym, FP8 attention, guidance scale 8, calib steps 8

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  3. Fix names

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  4. MI250 QKV fused and all linear layers sym, FP8 attention, guidance scale 8, calib steps 10

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