Add files using upload-large-folder tool
Browse files- README.md +54 -0
- audio_scheduler/scheduler_config.json +5 -0
- checkpoint-identity.json +29 -0
- export_manifest.json +31 -0
- fastvideo_inference.json +31 -0
- metadata.json +250 -0
- modular_model_index.json +131 -0
- scheduler/scheduler_config.json +5 -0
- transformer_ref/config.json +27 -0
- transformer_ref/diffusion_pytorch_model-00001-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00002-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00003-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00004-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00005-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00006-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00007-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00008-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00009-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00010-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00011-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00012-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00013-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model-00014-of-00014.safetensors +3 -0
- transformer_ref/diffusion_pytorch_model.safetensors.index.json +695 -0
README.md
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---
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license: other
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base_model: MiniMaxAI/MiniMax-H3
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tags: [fastvideo, minimax-h3, ref2va, omniref, distillation, pdd, dmd2, dmpdd, cfg, private]
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---
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# FastH3 OmniRef v5 DMPDD-8 (PDD weight 0.3, CFG 2) — step 3500 (private)
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Reference-conditioned (Ref2VA) 8-step student of MiniMax-H3, trained with DMPDD (DMD2 through a
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Grid32 PDD student) on OmniRef v5 data. **Step 3500 of a planned 4000**; the run was still training
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when this export was taken. Shared for internal evaluation only.
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## What is here
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| path | contents |
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|---|---|
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| `transformer_ref/` | the student Ref2VA transformer partition (14 safetensors shards, ~66 GB) |
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| `fastvideo_inference.json` | FastVideo inference contract (`fasth3-inference-contract-v1`): `num_inference_steps: 8`, `pdd_step_indices [0,4,…,32]` on a 32-interval grid, shifts 12 / 3, VSA sparsity 0.9 tile 128, ref keep-rate 0.1 (`p2_multi_region`), guidance 1.0 |
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| `scheduler/`, `audio_scheduler/` | scheduler configs |
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| `modular_model_index.json` | pipeline index; text encoder / VAE / `transformer` (T2AV partition) resolve to the base `MiniMaxAI/MiniMax-H3` |
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| `export_manifest.json`, `metadata.json` | export receipt and training config snapshot |
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| `checkpoint-identity.json` | sha256 of every file above, verified against the cluster copy |
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Not included: the base T2AV `transformer` partition, text encoder and VAE — load them from
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`MiniMaxAI/MiniMax-H3` at revision `9bfb6693f2cf6de171db46d1aa586f67d773a1da`.
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Load with FastVideo `main` at or after the FastH3 Ref2VA PDD inference support (hao-ai-lab/FastVideo
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#1907), using `fastvideo_inference.json`. Sample without CFG (guidance 1.0): the CFG below applies only
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to the training targets.
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## Training (summary)
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- Lineage: PDD Grid32 8-step export at step 1250 → DMPDD with `pdd_loss_weight 1.0` and no CFG for
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steps 0–1800 (W&B `af992a31`) → this treatment, resumed exactly from that run's checkpoint-1800
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(same data order, RNG state restored), steps 1801–3500 (W&B `01d3ddc5`).
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- This treatment: `pdd_loss_weight 0.3`; CFG 2 on the teacher's DMD score, on the PDD teacher target
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and on the critic's DMD score; critic condition dropout 0.1 so the critic learns a no-text branch.
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The unconditional input zeroes the text/presentation embedding and keeps the VAE reference rows.
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- Method: `rollout_mode: data_latent`, Grid32 with blocks of 4, 1 student : 4 critic updates, LR 5e-6.
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Student VSA128 at sparsity 0.9 with P2 multi-region reference keep 0.1; teacher and critic dense.
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- Data: OmniRef v5 r3, 273,108 Ref2VA rows (208,824 v4 + 64,284 v5). Step 3500 has seen ~82% of one
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pass (64 samples per step). 23 held-out 768p 15-s clips are excluded from training and used for
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validation.
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- Topology: 64 × B300 (SP4 × DP16, FSDP 1×64), global batch 64; ~125 s / step.
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## Known limits
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- Mid-run checkpoint, and single checkpoints 100 steps apart differ noticeably; compare neighbouring
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exports before choosing one.
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- On the 23 held-out clips, this treatment's outputs are on average slightly darker and more saturated
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than at the shared step-1800 start (near-black pixels ~16% vs 13.7%; real footage 7.9%), consistent
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with training against CFG-2 targets.
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- Audio loudness relative to the real clips is close to step 1800 at this checkpoint
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(mean |log ratio| 0.35 vs 0.34).
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audio_scheduler/scheduler_config.json
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{
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"_class_name": "MiniMaxH3Scheduler",
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"_diffusers_version": "0.36.0.dev0",
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"shift": 3.0
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}
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checkpoint-identity.json
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{
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"source": "fastvideo-euwe2 BeeGFS outputs/omniref_v5_dmpdd_grid32_w03_cfg2_data_latent_b300_seed43_step1250_20261002T201404Z/inference/checkpoint-3500",
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"step": 3500,
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"aggregate_sha256": "513b21834aa526994cdae02f3f1fa0d7451b5b26572a244da089a6c155fff876",
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"files": {
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"audio_scheduler/scheduler_config.json": "804780f7133477067bd6bbfbc02dc8b3cf9feeb400f97c08f5b1d5f6cbab3840",
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"export_manifest.json": "68577f23f0c866e329aa8a578b2455e4ca9a26a3ca1d15ddd6d0e99091007e18",
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"fastvideo_inference.json": "68577f23f0c866e329aa8a578b2455e4ca9a26a3ca1d15ddd6d0e99091007e18",
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"metadata.json": "27eefa1455844d42fb07606523436f454d3031d932a23a71a05d6280c74a59be",
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"modular_model_index.json": "a2b6a210e482ffb78e613b553f570c44e101afce6741bd4ed91429d0559af031",
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"scheduler/scheduler_config.json": "8fa6c3aa70dc9e691e1a6df899fd1b6f75f70481a27cee6e18a303817075c304",
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"transformer_ref/config.json": "658c1f6278262db3072d9a6f4832c7c49280f91c94a8455414525cd6648de677",
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"transformer_ref/diffusion_pytorch_model-00001-of-00014.safetensors": "36df5817c34db966434469af1b53fc68c3b4d5b7db0434d0a98727f5b4ea8dc5",
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"transformer_ref/diffusion_pytorch_model-00002-of-00014.safetensors": "5b03b1e63f6529b3f3cabbd958c0f0b8c44a275c83da7b49bd9283907dc95821",
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"transformer_ref/diffusion_pytorch_model-00003-of-00014.safetensors": "1f47768be5808ec6351538591fd9a65b4a213c74fa90541cfbf3c7c6290a5dfb",
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| 16 |
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"transformer_ref/diffusion_pytorch_model-00004-of-00014.safetensors": "3d0edd0b16019c757a6de3e3e697ba56c196de35085171b16cb43d0eec739641",
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"transformer_ref/diffusion_pytorch_model-00005-of-00014.safetensors": "399fd4263e60b789f422caebf5d0890cd5ea0cbfbc0d96224d0bead51654da06",
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"transformer_ref/diffusion_pytorch_model-00006-of-00014.safetensors": "8265285c22ca044b650bd3d7663d54cc258cc0ca7c7546c311eb1c2fc615647e",
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"transformer_ref/diffusion_pytorch_model-00007-of-00014.safetensors": "9b1245c4fb2a1b11ef69679af694bd754f19bb14ab70e9b7683fceb115a25cbb",
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| 20 |
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"transformer_ref/diffusion_pytorch_model-00008-of-00014.safetensors": "5f3426834896191887487bc61e6e0f59168b2fb66bcef743a8065ec9cd9c669c",
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| 21 |
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"transformer_ref/diffusion_pytorch_model-00009-of-00014.safetensors": "9930b2c02e86349d0b68d3d6efa13e5f78fe35d9d15668380cd4df0ca7fe3270",
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"transformer_ref/diffusion_pytorch_model-00010-of-00014.safetensors": "555452c8155c5c80267e076e74d5c40d0ac71f46029308c3405037bdc91e2568",
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| 23 |
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"transformer_ref/diffusion_pytorch_model-00011-of-00014.safetensors": "e62326f89abd31d18409a98ef63c24544cf50e1ba1b4e08dbeb28bde64c25b2c",
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| 24 |
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"transformer_ref/diffusion_pytorch_model-00012-of-00014.safetensors": "aaea3c6b97ca936032bf760ccb07450f37422337ec303d43a2dbc55e87490c76",
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| 25 |
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"transformer_ref/diffusion_pytorch_model-00013-of-00014.safetensors": "647210d8604bd6f1dc033c95fcc9aa9050a1cc187f5ce22d70320e49a6bbb42a",
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| 26 |
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"transformer_ref/diffusion_pytorch_model-00014-of-00014.safetensors": "6ba131b48a36a4d0c15f076fab9923850fa4dcbc2d7ed4f64bc8681795803696",
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| 27 |
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"transformer_ref/diffusion_pytorch_model.safetensors.index.json": "40979168a4c9f720953f5af95552603a5273f4eee3e58d3615514a6267cc3d46"
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}
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}
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export_manifest.json
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{
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"attention_backend": "VIDEO_SPARSE_ATTN_H3",
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"audio_scheduler_shift": 3.0,
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"base_model_revision": "hf://MiniMaxAI/MiniMax-H3@9bfb6693f2cf6de171db46d1aa586f67d773a1da",
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"conditioning": "fixed_ordered_references_target_only_flow",
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"grid_max_t": 0.999,
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"guidance_scale": 1.0,
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"model_type": "ref2va",
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"num_inference_steps": 8,
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"pdd_step_indices": [
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0,
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4,
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8,
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12,
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16,
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28,
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32
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],
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"pdd_steps": 32,
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"schema": "fasth3-inference-contract-v1",
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"schema_version": "fasth3-inference-contract-v1",
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"transformer_component": "transformer_ref",
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| 25 |
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"transformer_forwards": 8,
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"video_scheduler_shift": 12.0,
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"vsa_ref_keep_rate": 0.1,
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"vsa_ref_policy": "p2_multi_region",
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| 29 |
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"vsa_sparsity": 0.9,
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"vsa_tile_size": 128
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}
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fastvideo_inference.json
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{
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"attention_backend": "VIDEO_SPARSE_ATTN_H3",
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"audio_scheduler_shift": 3.0,
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"base_model_revision": "hf://MiniMaxAI/MiniMax-H3@9bfb6693f2cf6de171db46d1aa586f67d773a1da",
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"conditioning": "fixed_ordered_references_target_only_flow",
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| 6 |
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"grid_max_t": 0.999,
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| 7 |
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"guidance_scale": 1.0,
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| 8 |
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"model_type": "ref2va",
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"num_inference_steps": 8,
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"pdd_step_indices": [
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0,
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4,
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8,
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12,
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16,
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20,
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24,
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28,
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32
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],
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"pdd_steps": 32,
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"schema": "fasth3-inference-contract-v1",
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"schema_version": "fasth3-inference-contract-v1",
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"transformer_component": "transformer_ref",
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"transformer_forwards": 8,
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"video_scheduler_shift": 12.0,
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"vsa_ref_keep_rate": 0.1,
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| 28 |
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"vsa_ref_policy": "p2_multi_region",
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| 29 |
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"vsa_sparsity": 0.9,
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| 30 |
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"vsa_tile_size": 128
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}
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metadata.json
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|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
"config": {
|
| 4 |
+
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|
| 5 |
+
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|
| 6 |
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|
| 7 |
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|
| 8 |
+
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|
| 9 |
+
},
|
| 10 |
+
"latent_vis": {
|
| 11 |
+
"_target_": "fastvideo.train.callbacks.latent_vis.LatentVisCallback",
|
| 12 |
+
"every_steps": 100,
|
| 13 |
+
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|
| 14 |
+
},
|
| 15 |
+
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|
| 16 |
+
"_target_": "omniref_b300_observation.B300LaunchObservation"
|
| 17 |
+
},
|
| 18 |
+
"validation": {
|
| 19 |
+
"_target_": "fastvideo.train.callbacks.minimax_h3_ref2va_pdd_validation.MiniMaxH3Ref2VADMPDDValidationCallback",
|
| 20 |
+
"dataset_file": "/mnt/beegfs/omniref-v5/validation/v5-b300-heldout-23-20260929/validation.json",
|
| 21 |
+
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
+
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|
| 36 |
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|
| 37 |
+
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|
| 38 |
+
8
|
| 39 |
+
],
|
| 40 |
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"text_encoder_cpu_offload": true,
|
| 41 |
+
"training_contract_profile": "native_v5_dmpdd_w03_cfg2_data_latent_b300_world64",
|
| 42 |
+
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|
| 43 |
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|
| 44 |
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|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
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|
| 48 |
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"_target_": "fastvideo.train.methods.distribution_matching.dmpdd.DMPDDMethod",
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
+
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"_target_": "fastvideo.train.models.minimax_h3.MiniMaxH3Ref2VDMDModel",
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"_target_": "fastvideo.train.models.minimax_h3.MiniMaxH3Ref2VPDDModel",
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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"_target_": "fastvideo.train.models.minimax_h3.MiniMaxH3Ref2VDMDModel",
|
| 110 |
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|
| 111 |
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|
| 112 |
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"init_from": "/mnt/beegfs/omniref-v4-training/models/MiniMax-H3-ref2va",
|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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},
|
| 136 |
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"data": {
|
| 137 |
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|
| 138 |
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|
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|
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
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|
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|
| 155 |
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|
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|
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|
| 158 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
modular_model_index.json
ADDED
|
@@ -0,0 +1,131 @@
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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