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  1. sft/run04_3sys_frozen/private/assets/config.yaml +123 -0
  2. sft/run04_3sys_frozen/private/assets/config.yaml.before-input-mode-20260911T063731Z.bak +122 -0
  3. sft/run04_3sys_frozen/private/assets/reason1/chat_template.json +3 -0
  4. sft/run04_3sys_frozen/private/assets/reason1/config.json +61 -0
  5. sft/run04_3sys_frozen/private/assets/reason1/generation_config.json +12 -0
  6. sft/run04_3sys_frozen/private/assets/reason1/preprocessor_config.json +19 -0
  7. sft/run04_3sys_frozen/private/assets/reason1/tokenizer_config.json +207 -0
  8. sft/run04_3sys_frozen/private/assets/vlm_expert/chat_template.json +4 -0
  9. sft/run04_3sys_frozen/private/assets/vlm_expert/config.json +63 -0
  10. sft/run04_3sys_frozen/private/assets/vlm_expert/generation_config.json +14 -0
  11. sft/run04_3sys_frozen/private/assets/vlm_expert/merges.txt +0 -0
  12. sft/run04_3sys_frozen/private/assets/vlm_expert/preprocessor_config.json +21 -0
  13. sft/run04_3sys_frozen/private/assets/vlm_expert/tokenizer.json +0 -0
  14. sft/run04_3sys_frozen/private/assets/vlm_expert/tokenizer_config.json +239 -0
  15. sft/run04_3sys_frozen/private/assets/vlm_expert/video_preprocessor_config.json +21 -0
  16. sft/run04_3sys_frozen/private/assets/vlm_expert/vocab.json +0 -0
  17. sft/run10_3sys/private/assets/config.yaml +149 -0
  18. sft/run10_3sys/private/assets/config.yaml.before-input-mode-20260911T063731Z.bak +148 -0
  19. sft/run10_3sys/private/assets/reason1/chat_template.json +3 -0
  20. sft/run10_3sys/private/assets/reason1/config.json +61 -0
  21. sft/run10_3sys/private/assets/reason1/generation_config.json +12 -0
  22. sft/run10_3sys/private/assets/reason1/preprocessor_config.json +19 -0
  23. sft/run10_3sys/private/assets/reason1/tokenizer.json +0 -0
  24. sft/run10_3sys/private/assets/reason1/tokenizer_config.json +207 -0
  25. sft/run10_3sys/private/assets/vlm_expert/chat_template.json +4 -0
  26. sft/run10_3sys/private/assets/vlm_expert/config.json +63 -0
  27. sft/run10_3sys/private/assets/vlm_expert/generation_config.json +14 -0
  28. sft/run10_3sys/private/assets/vlm_expert/merges.txt +0 -0
  29. sft/run10_3sys/private/assets/vlm_expert/preprocessor_config.json +21 -0
  30. sft/run10_3sys/private/assets/vlm_expert/tokenizer.json +0 -0
  31. sft/run10_3sys/private/assets/vlm_expert/tokenizer_config.json +239 -0
  32. sft/run10_3sys/private/assets/vlm_expert/video_preprocessor_config.json +21 -0
  33. sft/run10_3sys/private/assets/vlm_expert/vocab.json +0 -0
  34. sft/run11_2sys_scratch_dinov3/private/assets/config.yaml +148 -0
  35. sft/run11_2sys_scratch_dinov3/private/assets/dinov3/config.json +32 -0
  36. sft/run11_2sys_scratch_dinov3/private/assets/reason1/chat_template.json +3 -0
  37. sft/run11_2sys_scratch_dinov3/private/assets/reason1/config.json +61 -0
  38. sft/run11_2sys_scratch_dinov3/private/assets/reason1/generation_config.json +12 -0
  39. sft/run11_2sys_scratch_dinov3/private/assets/reason1/preprocessor_config.json +19 -0
  40. sft/run11_2sys_scratch_dinov3/private/assets/reason1/tokenizer.json +0 -0
  41. sft/run11_2sys_scratch_dinov3/private/assets/reason1/tokenizer_config.json +207 -0
  42. sft/run11_2sys_scratch_dinov3/private/assets/svae_config.json +1 -0
  43. sft/run20_3sys_vlm_dino/private/assets/config.yaml +168 -0
  44. sft/run20_3sys_vlm_dino/private/assets/reason1/chat_template.json +3 -0
  45. sft/run20_3sys_vlm_dino/private/assets/reason1/config.json +61 -0
  46. sft/run20_3sys_vlm_dino/private/assets/reason1/generation_config.json +12 -0
  47. sft/run20_3sys_vlm_dino/private/assets/reason1/preprocessor_config.json +19 -0
  48. sft/run20_3sys_vlm_dino/private/assets/reason1/tokenizer.json +0 -0
  49. sft/run20_3sys_vlm_dino/private/assets/reason1/tokenizer_config.json +207 -0
  50. sft/run20_3sys_vlm_dino/private/assets/vlm_expert/chat_template.json +4 -0
sft/run04_3sys_frozen/private/assets/config.yaml ADDED
@@ -0,0 +1,123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ video_backbone:
3
+ name: cosmos_predict25_2b
4
+ model_path: /mnt/data/limingleyang/model/Cosmos-Predict2.5-2B
5
+ model_variant: base/post-trained
6
+ text_encoder_path: /mnt/data/limingleyang/model/Cosmos-Reason1-7B
7
+ text_encoder_dropout: 0.0
8
+ vae: wan2pt1
9
+ shift_video: 5.0
10
+ components:
11
+ - attr: vae
12
+ source: state_dict
13
+ sub_module: vae
14
+ - attr: text_encoder
15
+ source: state_dict
16
+ sub_module: reason1
17
+ action_backbone:
18
+ dim: 1024
19
+ ffn_dim: 4096
20
+ shift_action: 5.0
21
+ vlm_expert:
22
+ input_mode: legacy_stitched
23
+ checkpoint_path: /mnt/data/limingleyang/model/Qwen3-VL-2B-Instruct
24
+ load_pretrained: true
25
+ max_length: 512
26
+ freeze_vision_tower: true
27
+ freeze_embed_tokens: true
28
+ freeze_decoder_layers: true
29
+ run_full_tail: false
30
+ use_gradient_checkpointing: false
31
+ freeze:
32
+ - video_backbone.text_encoder
33
+ - video_backbone.reason1
34
+ - video_backbone.vae
35
+ - video_backbone.image_encoder
36
+ - video_backbone.video_encoder
37
+ architecture:
38
+ framework: tri_system
39
+ variant: joint_self_attn
40
+ action_dim: 80
41
+ use_proprioception: true
42
+ state_dim: 80
43
+ attention_mask_mode: mutual
44
+ video_attention_mask_mode: first_frame_causal
45
+ vlm_attn_warmup:
46
+ start_weight: 1.0
47
+ end_weight: 1.0
48
+ delay_ratio: 0.0
49
+ ramp_ratio: 0.0
50
+ shape: linear
51
+ mot_checkpoint_mixed_attn: false
52
+ bridge_layers: null
53
+ bridge_interval: 1
54
+ dataloader:
55
+ type: libero
56
+ dataset_dir: /mnt/data/wangyuran/benchmark_data/libero
57
+ action_mode: libero
58
+ gripper_convention: minus1_closed_plus1_open
59
+ unify_action: true
60
+ unify_action_map:
61
+ - 0-9
62
+ normalize_mode: min-max
63
+ head_camera_priority:
64
+ - observation.images.image
65
+ wrist_camera_priority:
66
+ - observation.images.wrist_image
67
+ - observation.images.image2
68
+ prompt_columns:
69
+ - language_instruction
70
+ - task
71
+ - prompt
72
+ num_frames: 33
73
+ video_stride: 4
74
+ window_stride: 1
75
+ height: 384
76
+ width: 320
77
+ multiview: true
78
+ split: train
79
+ enable_action_supervision: true
80
+ seed: 42
81
+ training:
82
+ debug: false
83
+ learning_rate: 0.0001
84
+ adam_betas:
85
+ - 0.9
86
+ - 0.95
87
+ weight_decay: 0.01
88
+ max_grad_norm: 1.0
89
+ num_epochs: 10
90
+ max_steps: null
91
+ batch_size: 4
92
+ gradient_accumulation_steps: 1
93
+ lr_scheduler: cosine
94
+ warmup_ratio: 0.05
95
+ lr_min_ratio: 0.01
96
+ vlm_warmup_ratio: null
97
+ action_lr: null
98
+ video_lr: null
99
+ vlm_lr: null
100
+ mixed_precision: bf16
101
+ zero_stage: 2
102
+ use_gradient_checkpointing: false
103
+ use_gradient_checkpointing_offload: false
104
+ initialize_model_on_cpu: false
105
+ offload_optimizer_device: none
106
+ lambda_video: 1.0
107
+ lambda_action: 1.0
108
+ max_timestep_boundary: 1.0
109
+ min_timestep_boundary: 0.0
110
+ output_path: /mnt/data/limingleyang/openwam_checkpoints
111
+ save_steps: 2000
112
+ keep_last_k_ckpts: 1
113
+ finetune_ckpt_path: null
114
+ resume_ckpt_path: null
115
+ dataset_num_workers: 8
116
+ project:
117
+ name: open-wam
118
+ output_dir: outputs/${now:%Y-%m-%d_%H-%M-%S}
119
+ seed: 42
120
+ wandb:
121
+ project: open-wam
122
+ run_name: null
123
+ entity: null
sft/run04_3sys_frozen/private/assets/config.yaml.before-input-mode-20260911T063731Z.bak ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ video_backbone:
3
+ name: cosmos_predict25_2b
4
+ model_path: /mnt/data/limingleyang/model/Cosmos-Predict2.5-2B
5
+ model_variant: base/post-trained
6
+ text_encoder_path: /mnt/data/limingleyang/model/Cosmos-Reason1-7B
7
+ text_encoder_dropout: 0.0
8
+ vae: wan2pt1
9
+ shift_video: 5.0
10
+ components:
11
+ - attr: vae
12
+ source: state_dict
13
+ sub_module: vae
14
+ - attr: text_encoder
15
+ source: state_dict
16
+ sub_module: reason1
17
+ action_backbone:
18
+ dim: 1024
19
+ ffn_dim: 4096
20
+ shift_action: 5.0
21
+ vlm_expert:
22
+ checkpoint_path: /mnt/data/limingleyang/model/Qwen3-VL-2B-Instruct
23
+ load_pretrained: true
24
+ max_length: 512
25
+ freeze_vision_tower: true
26
+ freeze_embed_tokens: true
27
+ freeze_decoder_layers: true
28
+ run_full_tail: false
29
+ use_gradient_checkpointing: false
30
+ freeze:
31
+ - video_backbone.text_encoder
32
+ - video_backbone.reason1
33
+ - video_backbone.vae
34
+ - video_backbone.image_encoder
35
+ - video_backbone.video_encoder
36
+ architecture:
37
+ framework: tri_system
38
+ variant: joint_self_attn
39
+ action_dim: 80
40
+ use_proprioception: true
41
+ state_dim: 80
42
+ attention_mask_mode: mutual
43
+ video_attention_mask_mode: first_frame_causal
44
+ vlm_attn_warmup:
45
+ start_weight: 1.0
46
+ end_weight: 1.0
47
+ delay_ratio: 0.0
48
+ ramp_ratio: 0.0
49
+ shape: linear
50
+ mot_checkpoint_mixed_attn: false
51
+ bridge_layers: null
52
+ bridge_interval: 1
53
+ dataloader:
54
+ type: libero
55
+ dataset_dir: /mnt/data/wangyuran/benchmark_data/libero
56
+ action_mode: libero
57
+ gripper_convention: minus1_closed_plus1_open
58
+ unify_action: true
59
+ unify_action_map:
60
+ - 0-9
61
+ normalize_mode: min-max
62
+ head_camera_priority:
63
+ - observation.images.image
64
+ wrist_camera_priority:
65
+ - observation.images.wrist_image
66
+ - observation.images.image2
67
+ prompt_columns:
68
+ - language_instruction
69
+ - task
70
+ - prompt
71
+ num_frames: 33
72
+ video_stride: 4
73
+ window_stride: 1
74
+ height: 384
75
+ width: 320
76
+ multiview: true
77
+ split: train
78
+ enable_action_supervision: true
79
+ seed: 42
80
+ training:
81
+ debug: false
82
+ learning_rate: 0.0001
83
+ adam_betas:
84
+ - 0.9
85
+ - 0.95
86
+ weight_decay: 0.01
87
+ max_grad_norm: 1.0
88
+ num_epochs: 10
89
+ max_steps: null
90
+ batch_size: 4
91
+ gradient_accumulation_steps: 1
92
+ lr_scheduler: cosine
93
+ warmup_ratio: 0.05
94
+ lr_min_ratio: 0.01
95
+ vlm_warmup_ratio: null
96
+ action_lr: null
97
+ video_lr: null
98
+ vlm_lr: null
99
+ mixed_precision: bf16
100
+ zero_stage: 2
101
+ use_gradient_checkpointing: false
102
+ use_gradient_checkpointing_offload: false
103
+ initialize_model_on_cpu: false
104
+ offload_optimizer_device: none
105
+ lambda_video: 1.0
106
+ lambda_action: 1.0
107
+ max_timestep_boundary: 1.0
108
+ min_timestep_boundary: 0.0
109
+ output_path: /mnt/data/limingleyang/openwam_checkpoints
110
+ save_steps: 2000
111
+ keep_last_k_ckpts: 1
112
+ finetune_ckpt_path: null
113
+ resume_ckpt_path: null
114
+ dataset_num_workers: 8
115
+ project:
116
+ name: open-wam
117
+ output_dir: outputs/${now:%Y-%m-%d_%H-%M-%S}
118
+ seed: 42
119
+ wandb:
120
+ project: open-wam
121
+ run_name: null
122
+ entity: null
sft/run04_3sys_frozen/private/assets/reason1/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
sft/run04_3sys_frozen/private/assets/reason1/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
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+ "Qwen2_5_VLForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "vision_start_token_id": 151652,
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+ "vision_end_token_id": 151653,
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+ "vision_token_id": 151654,
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+ "image_token_id": 151655,
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+ "video_token_id": 151656,
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+ "hidden_act": "silu",
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+ "hidden_size": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18944,
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+ "max_position_embeddings": 128000,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2_5_vl",
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+ "num_attention_heads": 28,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 4,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vision_config": {
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+ "depth": 32,
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+ "hidden_act": "silu",
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+ "hidden_size": 1280,
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+ "intermediate_size": 3420,
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+ "num_heads": 16,
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+ "in_chans": 3,
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+ "out_hidden_size": 3584,
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+ "patch_size": 14,
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+ "spatial_merge_size": 2,
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+ "spatial_patch_size": 14,
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+ "window_size": 112,
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+ "fullatt_block_indexes": [
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+ 7,
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+ 15,
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+ 23,
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+ 31
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+ ],
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+ "tokens_per_second": 2,
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+ "temporal_patch_size": 2
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+ },
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+ "rope_scaling": {
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+ "type": "mrope",
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+ "mrope_section": [
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+ 16,
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+ 24,
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+ 24
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+ ]
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+ },
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+ "vocab_size": 152064
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+ }
sft/run04_3sys_frozen/private/assets/reason1/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "bos_token_id": 151643,
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+ "pad_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 151645,
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+ 151643
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+ ],
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+ "repetition_penalty": 1.05,
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+ "temperature": 0.000001,
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+ "transformers_version": "4.37.0"
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+ }
sft/run04_3sys_frozen/private/assets/reason1/preprocessor_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "min_pixels": 3136,
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+ "max_pixels": 12845056,
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+ "patch_size": 14,
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+ "temporal_patch_size": 2,
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+ "merge_size": 2,
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+ "image_mean": [
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+ 0.48145466,
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+ 0.4578275,
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+ 0.40821073
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+ ],
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+ "image_std": [
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+ 0.26862954,
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+ 0.26130258,
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+ 0.27577711
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+ ],
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+ "image_processor_type": "Qwen2VLImageProcessor",
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+ "processor_class": "Qwen2_5_VLProcessor"
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+ }
sft/run04_3sys_frozen/private/assets/reason1/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "add_prefix_space": false,
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+ "added_tokens_decoder": {
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+ "151643": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151644": {
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+ "content": "<|im_start|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151645": {
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+ "content": "<|im_end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151646": {
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+ "content": "<|object_ref_start|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151647": {
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+ "content": "<|object_ref_end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151648": {
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+ "content": "<|box_start|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151649": {
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+ "content": "<|box_end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151650": {
61
+ "content": "<|quad_start|>",
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+ "lstrip": false,
63
+ "normalized": false,
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+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
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+ "151651": {
69
+ "content": "<|quad_end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "151652": {
77
+ "content": "<|vision_start|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "151653": {
85
+ "content": "<|vision_end|>",
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+ "lstrip": false,
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+ "normalized": false,
88
+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
91
+ },
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+ "151654": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
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+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "151655": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
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+ },
108
+ "151656": {
109
+ "content": "<|video_pad|>",
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+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "151657": {
117
+ "content": "<tool_call>",
118
+ "lstrip": false,
119
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122
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+ "151658": {
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+ "content": "</tool_call>",
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127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "151659": {
133
+ "content": "<|fim_prefix|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "151660": {
141
+ "content": "<|fim_middle|>",
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143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "151661": {
149
+ "content": "<|fim_suffix|>",
150
+ "lstrip": false,
151
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153
+ "single_word": false,
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+ "special": false
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+ },
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+ "151662": {
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+ "content": "<|fim_pad|>",
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151663": {
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+ "content": "<|repo_name|>",
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+ "special": false
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+ },
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+ "151664": {
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+ "content": "<|file_sep|>",
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+ "lstrip": false,
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+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ }
180
+ },
181
+ "additional_special_tokens": [
182
+ "<|im_start|>",
183
+ "<|im_end|>",
184
+ "<|object_ref_start|>",
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+ "<|object_ref_end|>",
186
+ "<|box_start|>",
187
+ "<|box_end|>",
188
+ "<|quad_start|>",
189
+ "<|quad_end|>",
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+ "<|vision_start|>",
191
+ "<|vision_end|>",
192
+ "<|vision_pad|>",
193
+ "<|image_pad|>",
194
+ "<|video_pad|>"
195
+ ],
196
+ "bos_token": null,
197
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "model_max_length": 131072,
202
+ "pad_token": "<|endoftext|>",
203
+ "split_special_tokens": false,
204
+ "tokenizer_class": "Qwen2Tokenizer",
205
+ "unk_token": null,
206
+ "add_bos_token": false
207
+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/chat_template.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
3
+ }
4
+
sft/run04_3sys_frozen/private/assets/vlm_expert/config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
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+ "Qwen3VLForConditionalGeneration"
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+ ],
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+ "image_token_id": 151655,
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+ "model_type": "qwen3_vl",
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+ "text_config": {
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "dtype": "bfloat16",
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+ "eos_token_id": 151645,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6144,
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+ "max_position_embeddings": 262144,
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+ "model_type": "qwen3_vl_text",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": {
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+ "mrope_interleaved": true,
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+ "mrope_section": [
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+ 24,
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+ 20,
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+ 20
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+ ],
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+ "rope_type": "default"
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+ },
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+ "rope_theta": 5000000,
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+ "tie_word_embeddings": true,
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+ "use_cache": true,
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+ "vocab_size": 151936
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+ },
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+ "tie_word_embeddings": true,
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+ "transformers_version": "4.57.0.dev0",
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+ "video_token_id": 151656,
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+ "vision_config": {
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+ "deepstack_visual_indexes": [
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+ 5,
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+ 11,
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+ 17
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+ ],
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+ "depth": 24,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1024,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "model_type": "qwen3_vl",
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+ "num_heads": 16,
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+ "num_position_embeddings": 2304,
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+ "out_hidden_size": 2048,
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+ "patch_size": 16,
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+ "spatial_merge_size": 2,
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+ "temporal_patch_size": 2
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+ },
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+ "vision_end_token_id": 151653,
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+ "vision_start_token_id": 151652
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+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/generation_config.json ADDED
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+ {
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+ "bos_token_id": 151643,
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+ "pad_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 151645,
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+ 151643
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+ ],
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+ "top_p": 0.8,
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+ "top_k": 20,
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+ "temperature": 0.7,
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+ "repetition_penalty": 1.0,
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+ "transformers_version": "4.56.0"
14
+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
sft/run04_3sys_frozen/private/assets/vlm_expert/preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "size": {
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+ "longest_edge": 16777216,
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+ "shortest_edge": 65536
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+ },
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+ "patch_size": 16,
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+ "temporal_patch_size": 2,
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+ "merge_size": 2,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "processor_class": "Qwen3VLProcessor",
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+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
sft/run04_3sys_frozen/private/assets/vlm_expert/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "add_prefix_space": false,
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+ "added_tokens_decoder": {
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+ "151643": {
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+ "content": "<|endoftext|>",
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+ "special": true
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+ },
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+ "151644": {
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+ "content": "<|im_start|>",
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+ "rstrip": false,
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+ "special": true
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+ "151645": {
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+ "content": "<|im_end|>",
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+ "special": true
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+ },
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+ "151646": {
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+ "content": "<|object_ref_start|>",
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+ "single_word": false,
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+ "special": true
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+ "151647": {
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+ "content": "<|object_ref_end|>",
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+ "151648": {
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+ "special": true
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "content": "<|vision_end|>",
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91
+ "special": true
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+ },
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+ "151654": {
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+ "content": "<|vision_pad|>",
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99
+ "special": true
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+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
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+ "lstrip": false,
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+ "content": "<|video_pad|>",
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151657": {
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+ "content": "<tool_call>",
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+ "lstrip": false,
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+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
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+ "special": false
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+ },
125
+ "151658": {
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+ "content": "</tool_call>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
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+ "content": "<|fim_prefix|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ "151660": {
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+ "content": "<|fim_middle|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
146
+ "single_word": false,
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+ "special": false
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+ },
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+ "151661": {
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+ "content": "<|fim_suffix|>",
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151662": {
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+ "content": "<|fim_pad|>",
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+ "single_word": false,
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+ "special": false
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+ },
165
+ "151663": {
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+ "content": "<|repo_name|>",
167
+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151664": {
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+ "content": "<|file_sep|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151665": {
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+ "content": "<tool_response>",
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+ "lstrip": false,
184
+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151666": {
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+ "content": "</tool_response>",
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+ "single_word": false,
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+ "special": false
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+ },
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+ "151667": {
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+ "content": "<think>",
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+ "lstrip": false,
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+ "special": false
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+ },
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+ "151668": {
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+ "content": "</think>",
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": false
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+ }
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+ },
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+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/video_preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 25165824,
4
+ "shortest_edge": 4096
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
sft/run04_3sys_frozen/private/assets/vlm_expert/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
sft/run10_3sys/private/assets/config.yaml ADDED
@@ -0,0 +1,149 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ video_backbone:
3
+ name: cosmos_predict25_2b
4
+ model_path: /mnt/data/limingleyang/model/Cosmos-Predict2.5-2B
5
+ model_variant: base/post-trained
6
+ text_encoder_path: /mnt/data/limingleyang/model/Cosmos-Reason1-7B
7
+ text_encoder_dropout: 0.0
8
+ vae: wan2pt1
9
+ shift_video: 5.0
10
+ dit_config:
11
+ max_img_h: 240
12
+ max_img_w: 240
13
+ max_frames: 128
14
+ in_channels: 16
15
+ out_channels: 16
16
+ patch_spatial: 2
17
+ patch_temporal: 1
18
+ model_channels: 2048
19
+ num_blocks: 28
20
+ num_heads: 16
21
+ concat_padding_mask: true
22
+ crossattn_emb_channels: 1024
23
+ use_crossattn_projection: true
24
+ crossattn_proj_in_channels: 100352
25
+ pos_emb_cls: rope3d
26
+ pos_emb_learnable: true
27
+ pos_emb_interpolation: crop
28
+ use_adaln_lora: true
29
+ adaln_lora_dim: 256
30
+ atten_backend: transformer_engine
31
+ extra_per_block_abs_pos_emb: false
32
+ rope_h_extrapolation_ratio: 3.0
33
+ rope_w_extrapolation_ratio: 3.0
34
+ rope_t_extrapolation_ratio: 1.0
35
+ rope_enable_fps_modulation: false
36
+ components:
37
+ - attr: vae
38
+ source: state_dict
39
+ sub_module: vae
40
+ - attr: text_encoder
41
+ source: state_dict
42
+ sub_module: reason1
43
+ action_backbone:
44
+ dim: 1024
45
+ ffn_dim: 4096
46
+ shift_action: 5.0
47
+ vlm_expert:
48
+ input_mode: legacy_stitched
49
+ checkpoint_path: /mnt/data/limingleyang/model/Qwen3-VL-2B-Instruct
50
+ load_pretrained: true
51
+ max_length: 512
52
+ freeze_vision_tower: true
53
+ freeze_embed_tokens: true
54
+ freeze_decoder_layers: false
55
+ run_full_tail: false
56
+ use_gradient_checkpointing: false
57
+ freeze:
58
+ - video_backbone.text_encoder
59
+ - video_backbone.reason1
60
+ - video_backbone.vae
61
+ - video_backbone.image_encoder
62
+ - video_backbone.video_encoder
63
+ architecture:
64
+ framework: tri_system
65
+ variant: joint_self_attn
66
+ action_dim: 80
67
+ use_proprioception: true
68
+ state_dim: 80
69
+ attention_mask_mode: mutual
70
+ video_attention_mask_mode: first_frame_causal
71
+ vlm_attn_warmup:
72
+ start_weight: 0.01
73
+ end_weight: 1.0
74
+ delay_ratio: 0.0
75
+ ramp_ratio: 0.4
76
+ shape: linear
77
+ mot_checkpoint_mixed_attn: false
78
+ bridge_layers: null
79
+ bridge_interval: 1
80
+ dataloader:
81
+ type: libero
82
+ dataset_dir: /mnt/data/wangyuran/benchmark_data/libero
83
+ action_mode: libero
84
+ gripper_convention: minus1_closed_plus1_open
85
+ unify_action: true
86
+ unify_action_map:
87
+ - 0-9
88
+ normalize_mode: min-max
89
+ head_camera_priority:
90
+ - observation.images.image
91
+ wrist_camera_priority:
92
+ - observation.images.wrist_image
93
+ - observation.images.image2
94
+ prompt_columns:
95
+ - language_instruction
96
+ - task
97
+ - prompt
98
+ num_frames: 33
99
+ video_stride: 4
100
+ window_stride: 1
101
+ height: 384
102
+ width: 320
103
+ multiview: true
104
+ split: train
105
+ enable_action_supervision: true
106
+ seed: 42
107
+ training:
108
+ debug: false
109
+ learning_rate: 0.0001
110
+ adam_betas:
111
+ - 0.9
112
+ - 0.95
113
+ weight_decay: 0.01
114
+ max_grad_norm: 1.0
115
+ num_epochs: 10
116
+ max_steps: null
117
+ batch_size: 8
118
+ gradient_accumulation_steps: 1
119
+ lr_scheduler: cosine
120
+ warmup_ratio: 0.05
121
+ lr_min_ratio: 0.01
122
+ vlm_warmup_ratio: 0.1
123
+ action_lr: null
124
+ video_lr: null
125
+ vlm_lr: 1.0e-05
126
+ mixed_precision: bf16
127
+ zero_stage: 2
128
+ use_gradient_checkpointing: false
129
+ use_gradient_checkpointing_offload: false
130
+ initialize_model_on_cpu: false
131
+ offload_optimizer_device: none
132
+ lambda_video: 1.0
133
+ lambda_action: 1.0
134
+ max_timestep_boundary: 1.0
135
+ min_timestep_boundary: 0.0
136
+ output_path: /mnt/data/limingleyang/openwam_checkpoints
137
+ save_steps: 2000
138
+ keep_last_k_ckpts: 1
139
+ finetune_ckpt_path: null
140
+ resume_ckpt_path: null
141
+ dataset_num_workers: 8
142
+ project:
143
+ name: open-wam
144
+ output_dir: outputs/${now:%Y-%m-%d_%H-%M-%S}
145
+ seed: 42
146
+ wandb:
147
+ project: open-wam
148
+ run_name: null
149
+ entity: null
sft/run10_3sys/private/assets/config.yaml.before-input-mode-20260911T063731Z.bak ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ video_backbone:
3
+ name: cosmos_predict25_2b
4
+ model_path: /mnt/data/limingleyang/model/Cosmos-Predict2.5-2B
5
+ model_variant: base/post-trained
6
+ text_encoder_path: /mnt/data/limingleyang/model/Cosmos-Reason1-7B
7
+ text_encoder_dropout: 0.0
8
+ vae: wan2pt1
9
+ shift_video: 5.0
10
+ dit_config:
11
+ max_img_h: 240
12
+ max_img_w: 240
13
+ max_frames: 128
14
+ in_channels: 16
15
+ out_channels: 16
16
+ patch_spatial: 2
17
+ patch_temporal: 1
18
+ model_channels: 2048
19
+ num_blocks: 28
20
+ num_heads: 16
21
+ concat_padding_mask: true
22
+ crossattn_emb_channels: 1024
23
+ use_crossattn_projection: true
24
+ crossattn_proj_in_channels: 100352
25
+ pos_emb_cls: rope3d
26
+ pos_emb_learnable: true
27
+ pos_emb_interpolation: crop
28
+ use_adaln_lora: true
29
+ adaln_lora_dim: 256
30
+ atten_backend: transformer_engine
31
+ extra_per_block_abs_pos_emb: false
32
+ rope_h_extrapolation_ratio: 3.0
33
+ rope_w_extrapolation_ratio: 3.0
34
+ rope_t_extrapolation_ratio: 1.0
35
+ rope_enable_fps_modulation: false
36
+ components:
37
+ - attr: vae
38
+ source: state_dict
39
+ sub_module: vae
40
+ - attr: text_encoder
41
+ source: state_dict
42
+ sub_module: reason1
43
+ action_backbone:
44
+ dim: 1024
45
+ ffn_dim: 4096
46
+ shift_action: 5.0
47
+ vlm_expert:
48
+ checkpoint_path: /mnt/data/limingleyang/model/Qwen3-VL-2B-Instruct
49
+ load_pretrained: true
50
+ max_length: 512
51
+ freeze_vision_tower: true
52
+ freeze_embed_tokens: true
53
+ freeze_decoder_layers: false
54
+ run_full_tail: false
55
+ use_gradient_checkpointing: false
56
+ freeze:
57
+ - video_backbone.text_encoder
58
+ - video_backbone.reason1
59
+ - video_backbone.vae
60
+ - video_backbone.image_encoder
61
+ - video_backbone.video_encoder
62
+ architecture:
63
+ framework: tri_system
64
+ variant: joint_self_attn
65
+ action_dim: 80
66
+ use_proprioception: true
67
+ state_dim: 80
68
+ attention_mask_mode: mutual
69
+ video_attention_mask_mode: first_frame_causal
70
+ vlm_attn_warmup:
71
+ start_weight: 0.01
72
+ end_weight: 1.0
73
+ delay_ratio: 0.0
74
+ ramp_ratio: 0.4
75
+ shape: linear
76
+ mot_checkpoint_mixed_attn: false
77
+ bridge_layers: null
78
+ bridge_interval: 1
79
+ dataloader:
80
+ type: libero
81
+ dataset_dir: /mnt/data/wangyuran/benchmark_data/libero
82
+ action_mode: libero
83
+ gripper_convention: minus1_closed_plus1_open
84
+ unify_action: true
85
+ unify_action_map:
86
+ - 0-9
87
+ normalize_mode: min-max
88
+ head_camera_priority:
89
+ - observation.images.image
90
+ wrist_camera_priority:
91
+ - observation.images.wrist_image
92
+ - observation.images.image2
93
+ prompt_columns:
94
+ - language_instruction
95
+ - task
96
+ - prompt
97
+ num_frames: 33
98
+ video_stride: 4
99
+ window_stride: 1
100
+ height: 384
101
+ width: 320
102
+ multiview: true
103
+ split: train
104
+ enable_action_supervision: true
105
+ seed: 42
106
+ training:
107
+ debug: false
108
+ learning_rate: 0.0001
109
+ adam_betas:
110
+ - 0.9
111
+ - 0.95
112
+ weight_decay: 0.01
113
+ max_grad_norm: 1.0
114
+ num_epochs: 10
115
+ max_steps: null
116
+ batch_size: 8
117
+ gradient_accumulation_steps: 1
118
+ lr_scheduler: cosine
119
+ warmup_ratio: 0.05
120
+ lr_min_ratio: 0.01
121
+ vlm_warmup_ratio: 0.1
122
+ action_lr: null
123
+ video_lr: null
124
+ vlm_lr: 1.0e-05
125
+ mixed_precision: bf16
126
+ zero_stage: 2
127
+ use_gradient_checkpointing: false
128
+ use_gradient_checkpointing_offload: false
129
+ initialize_model_on_cpu: false
130
+ offload_optimizer_device: none
131
+ lambda_video: 1.0
132
+ lambda_action: 1.0
133
+ max_timestep_boundary: 1.0
134
+ min_timestep_boundary: 0.0
135
+ output_path: /mnt/data/limingleyang/openwam_checkpoints
136
+ save_steps: 2000
137
+ keep_last_k_ckpts: 1
138
+ finetune_ckpt_path: null
139
+ resume_ckpt_path: null
140
+ dataset_num_workers: 8
141
+ project:
142
+ name: open-wam
143
+ output_dir: outputs/${now:%Y-%m-%d_%H-%M-%S}
144
+ seed: 42
145
+ wandb:
146
+ project: open-wam
147
+ run_name: null
148
+ entity: null
sft/run10_3sys/private/assets/reason1/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
sft/run10_3sys/private/assets/reason1/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2_5_VLForConditionalGeneration"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "vision_start_token_id": 151652,
9
+ "vision_end_token_id": 151653,
10
+ "vision_token_id": 151654,
11
+ "image_token_id": 151655,
12
+ "video_token_id": 151656,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 3584,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 18944,
17
+ "max_position_embeddings": 128000,
18
+ "max_window_layers": 28,
19
+ "model_type": "qwen2_5_vl",
20
+ "num_attention_heads": 28,
21
+ "num_hidden_layers": 28,
22
+ "num_key_value_heads": 4,
23
+ "rms_norm_eps": 1e-06,
24
+ "rope_theta": 1000000.0,
25
+ "sliding_window": 32768,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "bfloat16",
28
+ "transformers_version": "4.41.2",
29
+ "use_cache": true,
30
+ "use_sliding_window": false,
31
+ "vision_config": {
32
+ "depth": 32,
33
+ "hidden_act": "silu",
34
+ "hidden_size": 1280,
35
+ "intermediate_size": 3420,
36
+ "num_heads": 16,
37
+ "in_chans": 3,
38
+ "out_hidden_size": 3584,
39
+ "patch_size": 14,
40
+ "spatial_merge_size": 2,
41
+ "spatial_patch_size": 14,
42
+ "window_size": 112,
43
+ "fullatt_block_indexes": [
44
+ 7,
45
+ 15,
46
+ 23,
47
+ 31
48
+ ],
49
+ "tokens_per_second": 2,
50
+ "temporal_patch_size": 2
51
+ },
52
+ "rope_scaling": {
53
+ "type": "mrope",
54
+ "mrope_section": [
55
+ 16,
56
+ 24,
57
+ 24
58
+ ]
59
+ },
60
+ "vocab_size": 152064
61
+ }
sft/run10_3sys/private/assets/reason1/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "pad_token_id": 151643,
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 151645,
7
+ 151643
8
+ ],
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.000001,
11
+ "transformers_version": "4.37.0"
12
+ }
sft/run10_3sys/private/assets/reason1/preprocessor_config.json ADDED
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+ {
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+ "min_pixels": 3136,
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+ "max_pixels": 12845056,
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+ "patch_size": 14,
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+ "temporal_patch_size": 2,
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+ "merge_size": 2,
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+ "image_mean": [
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+ 0.48145466,
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+ 0.4578275,
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+ ],
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+ "image_std": [
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+ 0.26862954,
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+ 0.26130258,
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+ 0.27577711
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+ ],
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+ "image_processor_type": "Qwen2VLImageProcessor",
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+ "processor_class": "Qwen2_5_VLProcessor"
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+ }
sft/run10_3sys/private/assets/reason1/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
sft/run10_3sys/private/assets/reason1/tokenizer_config.json ADDED
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+ {
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+ },
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|quad_start|>",
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+ "<|quad_end|>",
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+ "<|vision_start|>",
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+ "<|vision_end|>",
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+ "<|vision_pad|>",
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+ "<|image_pad|>",
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+ "<|video_pad|>"
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+ ],
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+ "bos_token": null,
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+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null,
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+ "add_bos_token": false
207
+ }
sft/run10_3sys/private/assets/vlm_expert/chat_template.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
3
+ }
4
+
sft/run10_3sys/private/assets/vlm_expert/config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "Qwen3VLForConditionalGeneration"
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+ ],
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+ "rms_norm_eps": 1e-06,
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+ "rope_type": "default"
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+ },
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+ "rope_theta": 5000000,
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+ "tie_word_embeddings": true,
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+ "use_cache": true,
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+ "vocab_size": 151936
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+ },
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+ "video_token_id": 151656,
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+ "deepstack_visual_indexes": [
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+ 5,
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+ 11,
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+ 17
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+ ],
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+ "depth": 24,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1024,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "model_type": "qwen3_vl",
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+ "num_heads": 16,
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+ "num_position_embeddings": 2304,
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+ "temporal_patch_size": 2
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+ },
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+ "vision_end_token_id": 151653,
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+ "vision_start_token_id": 151652
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+ }
sft/run10_3sys/private/assets/vlm_expert/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "bos_token_id": 151643,
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+ "pad_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ "repetition_penalty": 1.0,
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+ "transformers_version": "4.56.0"
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+ }
sft/run10_3sys/private/assets/vlm_expert/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
sft/run10_3sys/private/assets/vlm_expert/preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "size": {
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+ "longest_edge": 16777216,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "processor_class": "Qwen3VLProcessor",
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+ "image_processor_type": "Qwen2VLImageProcessorFast"
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+ }
sft/run10_3sys/private/assets/vlm_expert/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
sft/run10_3sys/private/assets/vlm_expert/tokenizer_config.json ADDED
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+ {
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+ "content": "<|object_ref_end|>",
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+ "special": true
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+ "content": "<|vision_start|>",
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+ "single_word": false,
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+ "special": true
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+ },
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+ "151653": {
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+ "content": "<|vision_end|>",
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+ "special": true
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+ },
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+ "151654": {
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+ "content": "<|vision_pad|>",
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+ "rstrip": false,
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+ "single_word": false,
99
+ "special": true
100
+ },
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102
+ "content": "<|image_pad|>",
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104
+ "normalized": false,
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+ "special": true
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+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
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+ },
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+ "151666": {
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+ "content": "</tool_response>",
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+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
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+ "content": "</think>",
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+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
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+ "<|quad_end|>",
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+ "<|vision_start|>",
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+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
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+ "bos_token": null,
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+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
sft/run10_3sys/private/assets/vlm_expert/video_preprocessor_config.json ADDED
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1
+ {
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+ "size": {
3
+ "longest_edge": 25165824,
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+ "shortest_edge": 4096
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+ },
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+ "patch_size": 16,
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+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
sft/run10_3sys/private/assets/vlm_expert/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
sft/run11_2sys_scratch_dinov3/private/assets/config.yaml ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ video_backbone:
3
+ name: cosmos_predict25_2b
4
+ model_path: /mnt/data/limingleyang/model/Cosmos-Predict2.5-2B
5
+ model_variant: base/post-trained
6
+ text_encoder_path: /mnt/data/limingleyang/model/Cosmos-Reason1-7B
7
+ text_encoder_dropout: 0.0
8
+ vae: none
9
+ shift_video: 5.0
10
+ from_scratch: true
11
+ encoder:
12
+ name: dinov3
13
+ model_path: /mnt/data/limingleyang/model/dinov3-vitb16-pretrain-lvd1689m
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+ dit_patch_size:
15
+ - 1
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+ - 1
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+ - 1
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+ svae_path: /mnt/data/limingleyang/openwam_svae/libero_dinov3_vitb16/svae48/svae.pt
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+ svae_target_dim: 48
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+ temporal_compression: 4
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+ causal_temporal: true
22
+ dit_config:
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+ max_img_h: 240
24
+ max_img_w: 240
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+ max_frames: 128
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+ in_channels: 48
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+ out_channels: 48
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+ patch_spatial: 1
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+ patch_temporal: 1
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+ model_channels: 2048
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+ num_blocks: 28
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+ num_heads: 16
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+ concat_padding_mask: true
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+ crossattn_emb_channels: 1024
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+ use_crossattn_projection: true
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+ crossattn_proj_in_channels: 100352
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+ pos_emb_cls: rope3d
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+ pos_emb_learnable: true
39
+ pos_emb_interpolation: crop
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+ use_adaln_lora: true
41
+ adaln_lora_dim: 256
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+ atten_backend: transformer_engine
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+ extra_per_block_abs_pos_emb: false
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+ rope_h_extrapolation_ratio: 3.0
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+ rope_w_extrapolation_ratio: 3.0
46
+ rope_t_extrapolation_ratio: 1.0
47
+ rope_enable_fps_modulation: false
48
+ components:
49
+ - attr: text_encoder
50
+ source: state_dict
51
+ sub_module: reason1
52
+ - attr: vae
53
+ source: state_dict
54
+ sub_module: video_encoder
55
+ action_backbone:
56
+ dim: 1024
57
+ ffn_dim: 4096
58
+ shift_action: 5.0
59
+ freeze:
60
+ - video_backbone.text_encoder
61
+ - video_backbone.reason1
62
+ - video_backbone.vae
63
+ - video_backbone.image_encoder
64
+ - video_backbone.video_encoder
65
+ architecture:
66
+ framework: dual_system
67
+ variant: joint_self_attn
68
+ action_dim: 80
69
+ use_proprioception: true
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+ state_dim: 80
71
+ bridge_layers: null
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+ bridge_interval: 1
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+ mot_checkpoint_mixed_attn: false
74
+ rope_mode: grouped
75
+ attention_mask_mode: mutual
76
+ video_attention_mask_mode: first_frame_causal
77
+ detach_bridge: false
78
+ idm_video_cond_noise_prob: 0.5
79
+ dataloader:
80
+ type: libero
81
+ dataset_dir: /mnt/data/wangyuran/benchmark_data/libero
82
+ action_mode: libero
83
+ gripper_convention: minus1_closed_plus1_open
84
+ unify_action: true
85
+ unify_action_map:
86
+ - 0-9
87
+ normalize_mode: min-max
88
+ head_camera_priority:
89
+ - observation.images.image
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+ wrist_camera_priority:
91
+ - observation.images.wrist_image
92
+ - observation.images.image2
93
+ prompt_columns:
94
+ - language_instruction
95
+ - task
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+ - prompt
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+ num_frames: 33
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+ video_stride: 4
99
+ window_stride: 1
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+ height: 384
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+ width: 320
102
+ multiview: true
103
+ split: train
104
+ enable_action_supervision: true
105
+ seed: 42
106
+ training:
107
+ debug: false
108
+ learning_rate: 0.0001
109
+ adam_betas:
110
+ - 0.9
111
+ - 0.95
112
+ weight_decay: 0.01
113
+ max_grad_norm: 1.0
114
+ num_epochs: 10
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+ max_steps: null
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+ batch_size: 8
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+ gradient_accumulation_steps: 1
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+ lr_scheduler: cosine
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+ warmup_ratio: 0.05
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+ lr_min_ratio: 0.01
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+ vlm_warmup_ratio: 0.1
122
+ action_lr: null
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+ video_lr: null
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+ vlm_lr: 1.0e-05
125
+ mixed_precision: bf16
126
+ zero_stage: 2
127
+ use_gradient_checkpointing: false
128
+ use_gradient_checkpointing_offload: false
129
+ initialize_model_on_cpu: false
130
+ offload_optimizer_device: none
131
+ lambda_video: 1.0
132
+ lambda_action: 1.0
133
+ max_timestep_boundary: 1.0
134
+ min_timestep_boundary: 0.0
135
+ output_path: /mnt/data/limingleyang/openwam_checkpoints/run11_2sys_scratch_dinov3
136
+ save_steps: 2000
137
+ keep_last_k_ckpts: 1
138
+ finetune_ckpt_path: null
139
+ resume_ckpt_path: null
140
+ dataset_num_workers: 8
141
+ project:
142
+ name: open-wam
143
+ output_dir: outputs/${now:%Y-%m-%d_%H-%M-%S}
144
+ seed: 42
145
+ wandb:
146
+ project: open-wam
147
+ run_name: run11_2sys_scratch_dinov3
148
+ entity: null
sft/run11_2sys_scratch_dinov3/private/assets/dinov3/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
3
+ "DINOv3ViTModel"
4
+ ],
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+ "attention_dropout": 0.0,
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "key_bias": false,
13
+ "layer_norm_eps": 1e-05,
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+ "layerscale_value": 1.0,
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+ "mlp_bias": true,
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+ "model_type": "dinov3_vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "num_register_tokens": 4,
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+ "patch_size": 16,
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+ "pos_embed_jitter": null,
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+ "pos_embed_rescale": 2.0,
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+ "pos_embed_shift": null,
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+ "proj_bias": true,
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+ "query_bias": true,
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+ "rope_theta": 100.0,
28
+ "torch_dtype": "float32",
29
+ "transformers_version": "4.56.0.dev0",
30
+ "use_gated_mlp": false,
31
+ "value_bias": true
32
+ }
sft/run11_2sys_scratch_dinov3/private/assets/reason1/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
sft/run11_2sys_scratch_dinov3/private/assets/reason1/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
3
+ "Qwen2_5_VLForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "vision_start_token_id": 151652,
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+ "vision_end_token_id": 151653,
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+ "vision_token_id": 151654,
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+ "image_token_id": 151655,
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+ "video_token_id": 151656,
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+ "hidden_act": "silu",
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+ "hidden_size": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18944,
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+ "max_position_embeddings": 128000,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2_5_vl",
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+ "num_attention_heads": 28,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 4,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.2",
29
+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vision_config": {
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+ "depth": 32,
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+ "hidden_act": "silu",
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+ "hidden_size": 1280,
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+ "intermediate_size": 3420,
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+ "num_heads": 16,
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+ "in_chans": 3,
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+ "out_hidden_size": 3584,
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+ "patch_size": 14,
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+ "spatial_merge_size": 2,
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+ "spatial_patch_size": 14,
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+ "window_size": 112,
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+ "fullatt_block_indexes": [
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+ 7,
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+ 15,
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+ 23,
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+ 31
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+ ],
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+ "tokens_per_second": 2,
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+ "temporal_patch_size": 2
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+ },
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+ "rope_scaling": {
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+ "type": "mrope",
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+ "mrope_section": [
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+ 16,
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+ 24,
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+ 24
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+ ]
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+ },
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+ "vocab_size": 152064
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+ }
sft/run11_2sys_scratch_dinov3/private/assets/reason1/generation_config.json ADDED
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1
+ {
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+ "bos_token_id": 151643,
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+ "pad_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 151645,
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+ 151643
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+ ],
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+ "repetition_penalty": 1.05,
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+ "temperature": 0.000001,
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+ "transformers_version": "4.37.0"
12
+ }
sft/run11_2sys_scratch_dinov3/private/assets/reason1/preprocessor_config.json ADDED
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1
+ {
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+ "min_pixels": 3136,
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+ "max_pixels": 12845056,
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+ "patch_size": 14,
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+ "temporal_patch_size": 2,
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+ "merge_size": 2,
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+ "image_mean": [
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+ 0.48145466,
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+ 0.4578275,
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+ 0.40821073
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+ ],
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+ "image_std": [
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+ 0.26862954,
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+ 0.26130258,
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+ 0.27577711
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+ ],
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+ "image_processor_type": "Qwen2VLImageProcessor",
18
+ "processor_class": "Qwen2_5_VLProcessor"
19
+ }
sft/run11_2sys_scratch_dinov3/private/assets/reason1/tokenizer.json ADDED
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+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "151646": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "151647": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "151648": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "151649": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "151650": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "151651": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "151652": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "151653": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "151654": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "151655": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "151656": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "151657": {
117
+ "content": "<tool_call>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "151658": {
125
+ "content": "</tool_call>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "151659": {
133
+ "content": "<|fim_prefix|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "151660": {
141
+ "content": "<|fim_middle|>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "151661": {
149
+ "content": "<|fim_suffix|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "151662": {
157
+ "content": "<|fim_pad|>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "151663": {
165
+ "content": "<|repo_name|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "151664": {
173
+ "content": "<|file_sep|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ }
180
+ },
181
+ "additional_special_tokens": [
182
+ "<|im_start|>",
183
+ "<|im_end|>",
184
+ "<|object_ref_start|>",
185
+ "<|object_ref_end|>",
186
+ "<|box_start|>",
187
+ "<|box_end|>",
188
+ "<|quad_start|>",
189
+ "<|quad_end|>",
190
+ "<|vision_start|>",
191
+ "<|vision_end|>",
192
+ "<|vision_pad|>",
193
+ "<|image_pad|>",
194
+ "<|video_pad|>"
195
+ ],
196
+ "bos_token": null,
197
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "model_max_length": 131072,
202
+ "pad_token": "<|endoftext|>",
203
+ "split_special_tokens": false,
204
+ "tokenizer_class": "Qwen2Tokenizer",
205
+ "unk_token": null,
206
+ "add_bos_token": false
207
+ }
sft/run20_3sys_vlm_dino/private/assets/vlm_expert/chat_template.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
3
+ }
4
+