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anhdao69 commited on
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Publish verified A1 online Omega relation-supervised joint epoch 1

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Files changed (24) hide show
  1. .gitattributes +1 -0
  2. A1/epoch-1/chat_template.jinja +154 -0
  3. A1/epoch-1/config.json +112 -0
  4. A1/epoch-1/export_info.json +1 -0
  5. A1/epoch-1/navigation.json +129 -0
  6. A1/epoch-1/processor_config.json +60 -0
  7. A1/epoch-1/pytorch_model.bin +3 -0
  8. A1/epoch-1/reload_reference.json +5 -0
  9. A1/epoch-1/research_training.json +36 -0
  10. A1/epoch-1/tokenizer.json +3 -0
  11. A1/epoch-1/tokenizer_config.json +33 -0
  12. A1/provenance/epoch-1.json +0 -0
  13. A1/provenance/publication_validation.json +16 -0
  14. A1/provenance/qualification_pass.json +555 -0
  15. A1/provenance/resolved_config.json +113 -0
  16. A1/provenance/run_timing.json +11 -0
  17. A1/provenance/source.commit +1 -0
  18. A1/provenance/source_manifest.json +177 -0
  19. A1/provenance/supervisor_resources.json +58 -0
  20. A1/provenance/train_results.json +8 -0
  21. A1/provenance/trainer_state.json +0 -0
  22. A1/provenance/training_navigation.json +161 -0
  23. README.md +35 -0
  24. SHA256SUMS.json +22 -1
.gitattributes CHANGED
@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  G3/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  A0/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  G1/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  G3/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  A0/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ A1/epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
A1/epoch-1/chat_template.jinja ADDED
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+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
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+ {{- 'Video ' ~ video_count.value ~ ': ' }}
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+ {%- endif %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- if enable_thinking is defined and enable_thinking is false %}
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+ {{- '<think>\n\n</think>\n\n' }}
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+ {%- else %}
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+ {{- '<think>\n' }}
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A1/epoch-1/config.json ADDED
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+ "--vln_config",
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+ "configs/episodic/science_common.yaml",
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+ "--output_config",
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+ "configs/vln_empty.yaml",
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+ "--memory_config",
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+ "configs/vln_memory_window8.yaml",
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+ "--policy_config",
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+ "configs/vggt/a_joint_one_epoch.yaml",
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+ "--runtime_profile",
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+ "configs/vggt/a1_h4.yaml",
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+ "--deepspeed",
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+ "--manifest",
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+ "--model_name_or_path",
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+ "/mnt/data/vmo-ai-task/anhdh35/cache/huggingface/hub/models--Qwen--Qwen3.5-4B/snapshots/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
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+ "--output_dir",
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+ "--run-name",
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+ "a1_omega_h4_joint_e1",
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+ "--recovery-save-steps",
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+ "100",
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+ "10",
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+ "auto"
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+ "position_convention": "logical_text_plus_native_mrope_v1",
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+ "rotary_precision": "fp32_preserved_across_module_casts_v1",
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+ "config": {
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+ "gradient_accumulation_steps": 2,
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+ "optimizer_group_chunks": 1
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+ },
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+ "runtime": {
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+ "vision_attention": "flash_attention_2",
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+ "vision_microbatch_images": 8,
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+ "malloc_trim_each_update": false,
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+ "stage_pixels_bf16": true
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+ },
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+ "memory": {
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+ "kv_window_steps_including_current": 8,
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+ "sampling_identity": "collected-rgb-paths-v1",
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+ "student_layer": 24,
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+ "teacher": "VGGT-Omega-1B-512",
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+ "teacher_batch_size": 8,
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+ "patch_offset": 17,
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+ },
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+ "target": "a1-unpositioned-LN2048-soft-relations-v1",
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+ "adapter_sha256": "841c6f5b163007208a1d8d734a59cf0315d4d00a51de0c511c30901c0e7f6016"
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+ },
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+ "teacher_residency": "resident",
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+ "teacher_source": "/mnt/data/vmo-ai-task/anhdh35/third_party/vggt-omega",
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+ "teacher_weights": "/mnt/data/vmo-ai-task/anhdh35/models/vggt-omega/vggt_omega_1b_512.pt",
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+ "adapter_lr": 5e-05,
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+ "relation_projection": "direct-native-qk-cosine-v1"
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+ }
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+ }
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+ }
README.md CHANGED
@@ -110,3 +110,38 @@ Only the research configuration is removed; no policy weights are removed.
110
  SupervisorPASS, zero new OOM events. Full optimizer/RNG checkpoints remain on
111
  the cluster. Provenance and validation are in `A0/provenance/`. This upload
112
  contains training evidence, not a Habitat navigation-quality evaluation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
110
  SupervisorPASS, zero new OOM events. Full optimizer/RNG checkpoints remain on
111
  the cluster. Provenance and validation are in `A0/provenance/`. This upload
112
  contains training evidence, not a Habitat navigation-quality evaluation.
113
+
114
+ ## A1 — online VGGT-Omega native Q/K relation supervision, joint epoch 1
115
+
116
+ `A1/epoch-1/` contains A1 independently trained from original Qwen3.5-4B
117
+ base for one joint R2R + English RxR15 epoch: 30,815 episodes, 3,852 updates,
118
+ seed429, global batch8 on four H100s. One-epoch cosine schedule with minimum
119
+ LR ratio0.1,116 warmup updates, backbone peak LR5e-6 and Q/K adapter peak LR5e-5.
120
+
121
+ A1 uses frozen resident FP32 online VGGT-Omega-1B-512 during training, with
122
+ **direct native Q/K relation KL supervision**, no PCA, no pre-extracted features,
123
+ and no dimension-conversion MLP. Auxiliary weight ramps to0.1 over771 updates.
124
+ The policy uses Window8, canonical text action history and full episode BPTT.
125
+ Image-token-only rank8 Q/K adapters at native GDN decoder24, raw heads0/1,
126
+ add45,056 parameters. These trained adapters are retained and **required at
127
+ inference**. VGGT-Omega is not required for inference.
128
+ Serializer: `vln_append_only_chat_geoaddress_v1`.
129
+
130
+ ```python
131
+ from huggingface_hub import snapshot_download
132
+ from qwen_vl.train.vln_runtime import load_checkpoint
133
+ snapshot = snapshot_download('anhdao69/Streaming_VGGT', allow_patterns=['A1/epoch-1/*'])
134
+ model, serializer = load_checkpoint(snapshot + '/A1/epoch-1', base_model_path)
135
+ ```
136
+
137
+ Use the GeoAddress-capable SimpleMemVLN wrapper and pinned environment, not
138
+ an unmodified AutoModel or the older G1/G3-only runtime. Training source:
139
+ https://github.com/anhdao69/SimpleMemVLN/tree/6e717787313b2218cd2fd40b059f2942fee1820f
140
+ Base revision: Qwen/Qwen3.5-4B at851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a.
141
+
142
+ Every serving tensor is finite and bitwise identical to complete checkpoint3852.
143
+ Only training research configuration is removed; all policy weights are retained.
144
+ All16 qualification gates passed before production. Training supervisorPASS,
145
+ zero new OOM events. Optimizer/RNG recovery checkpoints remain on the cluster.
146
+ Provenance and publication validation are in `A1/provenance/`. This publication
147
+ does not establish Habitat navigation quality; evaluation is separate.
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