Add quality-36L bf16 decoder weights

quality-36L/config.json

@@ -0,0 +1,25 @@
+{
+  "name": "FastH3 NVFP4 VAE decoder (quality-36L)",
+  "format": "fastvideo_h3_decoder_nvfp4_deploy_v1",
+  "architecture": "MiniMaxH3VideoViTDecoder3d",
+  "decoder_blocks": 36,
+  "hidden_size": 2048,
+  "nvfp4": {
+    "scheme": "W4A4 NVFP4 (E2M1 values, E4M3 per-16 block scales, FP32 per-tensor scale)",
+    "block_size": 16,
+    "activation_global_scale": "unit",
+    "rotation_group": null,
+    "quantized_linears": 216,
+    "quantized_layers": "transformer_blocks.*.{attn.to_q,attn.to_k,attn.to_v,attn.to_out.0,ff.net.0.proj,ff.net.2}",
+    "high_precision": "proj_in, proj_out, norms, register tokens, post_quant_conv"
+  },
+  "stored_dtype_note": "NVFP4 linear weights are stored as bf16 master weights and packed to NVFP4 at load; packing is deterministic, so decoded pixels match training.",
+  "compute_dtype": "bfloat16 autocast",
+  "host_vae": "MiniMaxAI/MiniMax-H3 vae/ (full 36-block VAE)",
+  "tensor_count_by_dtype": {
+    "float32": 369,
+    "bfloat16": 432
+  },
+  "nvfp4_linear_parameters": 2416877568,
+  "source_step": 6000
+}

quality-36L/decoder.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:610bc45942fd093cc6ec0384a1f3c706d85ebd641ba9b9ffb3633e94d78b5b3b
+size 4860464512