Add fresh 24-GPU run checkpoint step 7000

Validated BF16 RGB+velocity weights and SHA-256 provenance. No deletions.

wan2.1_sim_real_24gpu_fresh_20260921/step-7000.json

@@ -0,0 +1,39 @@
+{
+  "checkpoint_contents": "DiT weights only; optimizer/RNG/training state not included",
+  "continuation": {
+    "mode": "Full training state: weights, Adam, scheduler, RNG and data position",
+    "resume_step": 5000,
+    "source_commit": "cd1c592b5e3dfe8caddf29ef6d646684daae8e35",
+    "source_sha256": "b46a388ab2348b2e20f6875e8fe9de17714e0ffcd2b7de8b4d36a0bb34178c14"
+  },
+  "dtype": "bfloat16",
+  "filename": "step-7000.safetensors",
+  "initialization": "Original pretrained Wan base; fresh optimizer at step 0; new velocity channels zero-initialized",
+  "model": "Wan2.1-I2V-14B-480P with RGB+velocity DiT expansion",
+  "note": "Continuation of the original velocity-weight-0.5 fresh run from step 5000; optimizer is not reset. Not the velocity-weight-zero ablation.",
+  "output_latent_channels": 32,
+  "parameters": 16395534208,
+  "patch_embedding_input_channels": 52,
+  "run": "fresh-base-24h100-ga1-sim5-real8-vel05-seed42-20260921",
+  "sha256": "87e39e355daab88e07b9736b7e2a06757f623fad9de7c76173cb0d3c0f8a1cc7",
+  "size_bytes": 32791204904,
+  "step": 7000,
+  "tensors": 1303,
+  "training": {
+    "data_seed": 42,
+    "dataset_repeat": 5,
+    "devices": 24,
+    "global_batch_size": 24,
+    "gradient_accumulation_steps": 1,
+    "height": 480,
+    "learning_rate": 1e-05,
+    "max_steps": 7000,
+    "microbatch_per_gpu": 1,
+    "num_frames": 81,
+    "real_dataset_repeat": 8,
+    "resume_from": null,
+    "resume_training_state": "step-5000",
+    "vel_loss_weight": 0.5,
+    "width": 832
+  }
+}

wan2.1_sim_real_24gpu_fresh_20260921/step-7000.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87e39e355daab88e07b9736b7e2a06757f623fad9de7c76173cb0d3c0f8a1cc7
+size 32791204904