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  1. README.md +69 -0
  2. iter_000500/chat_template.json +3 -0
  3. iter_000500/checkpoint.json +1 -0
  4. iter_000500/config.json +240 -0
  5. iter_000500/generation_config.json +14 -0
  6. iter_000500/merges.txt +0 -0
  7. iter_000500/model.safetensors.index.json +0 -0
  8. iter_000500/model_index.json +32 -0
  9. iter_000500/modular_model_index.json +58 -0
  10. iter_000500/preprocessor_config.json +21 -0
  11. iter_000500/tokenizer.json +0 -0
  12. iter_000500/tokenizer_config.json +239 -0
  13. iter_000500/video_preprocessor_config.json +21 -0
  14. iter_000500/vocab.json +0 -0
  15. iter_001000/chat_template.json +3 -0
  16. iter_001000/checkpoint.json +1 -0
  17. iter_001000/config.json +240 -0
  18. iter_001000/generation_config.json +14 -0
  19. iter_001000/merges.txt +0 -0
  20. iter_001000/model.safetensors.index.json +0 -0
  21. iter_001000/model_index.json +32 -0
  22. iter_001000/modular_model_index.json +58 -0
  23. iter_001000/preprocessor_config.json +21 -0
  24. iter_001000/tokenizer.json +0 -0
  25. iter_001000/tokenizer_config.json +239 -0
  26. iter_001000/video_preprocessor_config.json +21 -0
  27. iter_001000/vocab.json +0 -0
  28. iter_001500/chat_template.json +3 -0
  29. iter_001500/checkpoint.json +1 -0
  30. iter_001500/config.json +240 -0
  31. iter_001500/generation_config.json +14 -0
  32. iter_001500/merges.txt +0 -0
  33. iter_001500/model.safetensors.index.json +0 -0
  34. iter_001500/model_index.json +32 -0
  35. iter_001500/modular_model_index.json +58 -0
  36. iter_001500/preprocessor_config.json +21 -0
  37. iter_001500/scheduler/scheduler_config.json +33 -0
  38. iter_001500/text_tokenizer/added_tokens.json +28 -0
  39. iter_001500/text_tokenizer/chat_template.jinja +120 -0
  40. iter_001500/text_tokenizer/special_tokens_map.json +31 -0
  41. iter_001500/text_tokenizer/tokenizer_config.json +239 -0
  42. iter_001500/text_tokenizer/vocab.json +0 -0
  43. iter_001500/tokenizer.json +0 -0
  44. iter_001500/tokenizer_config.json +239 -0
  45. iter_001500/transformer/config.json +43 -0
  46. iter_001500/transformer/diffusion_pytorch_model.safetensors.index.json +816 -0
  47. iter_001500/vae/config.json +129 -0
  48. iter_001500/video_preprocessor_config.json +21 -0
  49. iter_001500/vision_encoder/config.json +25 -0
  50. iter_001500/vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: other
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+ license_name: openmdw1.1-license
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+ license_link: https://openmdw.ai/license/1-1/
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+ library_name: cosmos
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+ base_model: nvidia/Cosmos3-Nano-Policy-DROID
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+ tags:
8
+ - robotics
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+ - droid
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+ - policy
11
+ - world-model
12
+ - cosmos
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+ ---
14
+
15
+ # Cosmos-droid
16
+
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+ Intermediate checkpoints from a full fine-tune of
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+ [nvidia/Cosmos3-Nano-Policy-DROID](https://huggingface.co/nvidia/Cosmos3-Nano-Policy-DROID)
19
+ (revision `805c0d6d46196ecdc789213a6de72303c383895b`) on five DROID manipulation tasks.
20
+ The model jointly generates video and actions (joint video/action "WAM" policy).
21
+
22
+ **Work in progress:** the run targets 5000 optimizer updates. These are intermediate
23
+ checkpoints and have not been evaluated on a robot yet.
24
+
25
+ ## Checkpoints
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+
27
+ Each folder is a self-contained checkpoint in the same layout as the base model
28
+ (`transformer/`, `vae/`, `vision_encoder/`, `text_tokenizer/`, `scheduler/`, `model_index.json`, ...).
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+ They were produced with `cosmos_framework.scripts.export_model` using the **EMA weights**,
30
+ followed by `cosmos_framework.scripts.convert_model_to_diffusers`.
31
+
32
+ | Folder | Optimizer step | Samples seen | Training loss (median over steps ±50) |
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+ |---|---:|---:|---:|
34
+ | `iter_000500/` | 500 | 256k | ~1.14 |
35
+ | `iter_001000/` | 1000 | 512k | ~1.01 |
36
+ | `iter_001500/` | 1500 | 768k | ~0.97 |
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+
38
+ Load one by downloading its folder and passing it as `--checkpoint-path`, for example:
39
+
40
+ ```shell
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+ hf download Cosmos-Data/Cosmos-droid --include "iter_001500/*" --local-dir Cosmos-droid
42
+ python -m cosmos_framework.scripts.inference --checkpoint-path Cosmos-droid/iter_001500 ...
43
+ ```
44
+
45
+ ## Tasks and data
46
+
47
+ Five tabletop tasks: stack blue bowl on green bowl; serve bread on plate; put grapes into
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+ bowl; insert marker into mug; pick cherries and put on plate.
49
+
50
+ The training data was 96 successful, relabeled DROID-format episodes (19,627 training windows)
51
+ at 640x360, 15 FPS. Each window has 33 frames and 32 action targets, plus three cameras: wrist
52
+ on top, two exterior views below. Actions are 7 absolute joint commands plus gripper.
53
+
54
+ ## Training
55
+
56
+ - Full fine-tune (not LoRA), using the official generation/action optimizer selectors.
57
+ - Global batch 512 (8x H100 80GB, 16 samples/GPU x grad-accum 4), BF16, full activation
58
+ checkpointing.
59
+ - FusedAdam, base LR 2e-4 with scheduler multiplier 0.4, action-head LR multiplier 5,
60
+ weight decay 0.05, betas (0.9, 0.99), no warmup. EMA is enabled (power EMA, rate 0.1)
61
+ and re-initialized from the base model's regular (non-EMA) weights.
62
+ - Recipe: `examples/toml/sft_config/droid_five_task_8h100_gbs512.toml` and
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+ `docs/droid_five_task_policy.md` in the Cosmos-Framework fork used for training.
64
+
65
+ ## License
66
+
67
+ Derived from nvidia/Cosmos3-Nano-Policy-DROID and released under the same
68
+ [OpenMDW-1.1](https://openmdw.ai/license/1-1/) license. See the base model card for the
69
+ bias, explainability, privacy and safety notes, which apply to this model as well.
iter_000500/chat_template.json ADDED
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+ {
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
+ }
iter_000500/checkpoint.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {}
iter_000500/config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "allow_patterns_overrides": [
3
+ "*/*.safetensors"
4
+ ],
5
+ "architectures": [
6
+ "Cosmos3ForConditionalGeneration"
7
+ ],
8
+ "image_token_id": 151655,
9
+ "model": {
10
+ "_recursive_": false,
11
+ "_target": "omni_mot_model",
12
+ "config": {
13
+ "_type": "omni_mot_model_config",
14
+ "action_gen": true,
15
+ "activation_checkpointing": {
16
+ "determinism_check": "default",
17
+ "mode": "full",
18
+ "preserve_rng_state": true,
19
+ "save_ops_regex": [
20
+ "fmha"
21
+ ]
22
+ },
23
+ "causal_training_strategy": "none",
24
+ "compile": {
25
+ "ar_post_saturation_mode": "default",
26
+ "compile_dynamic": true,
27
+ "compiled_region": "language",
28
+ "coordinate_descent_tuning": false,
29
+ "enabled": false,
30
+ "max_autotune_pointwise": false,
31
+ "use_cuda_graphs": false
32
+ },
33
+ "diffusion_expert_config": {
34
+ "base_fps": 24,
35
+ "enable_fps_modulation": true,
36
+ "load_weights_from_pretrained": false,
37
+ "max_vae_latent_side_after_patchify": 20,
38
+ "patch_spatial": 2,
39
+ "sound_base_temporal_compression_factor": null,
40
+ "timestep_range": 1.0,
41
+ "unified_3d_mrope_reset_spatial_ids": true,
42
+ "unified_3d_mrope_temporal_modality_margin": 15000,
43
+ "vision_temporal_position_mode": "latent_index"
44
+ },
45
+ "ema": {
46
+ "enabled": false,
47
+ "iteration_shift": 0,
48
+ "rate": 0.1
49
+ },
50
+ "enable_input_bias": true,
51
+ "exclude_reasoner_weights_from_checkpoint": false,
52
+ "fixed_step_sampler_config": null,
53
+ "input_caption_key": "ai_caption",
54
+ "input_image_key": "images",
55
+ "input_video_key": "video",
56
+ "joint_attn_implementation": "two_way",
57
+ "latent_downsample_factor": 16,
58
+ "lbl": {
59
+ "coeff_gen": null,
60
+ "coeff_und": null,
61
+ "method": "local"
62
+ },
63
+ "load_vision_tokenizer": true,
64
+ "log_enc_time_every_n": 100,
65
+ "lora_alpha": 32,
66
+ "lora_enabled": false,
67
+ "lora_extra_trainable_modules": "",
68
+ "lora_rank": 16,
69
+ "lora_target_modules": "q_proj_moe_gen,k_proj_moe_gen,v_proj_moe_gen,o_proj_moe_gen",
70
+ "max_action_dim": 64,
71
+ "max_num_tokens_after_packing": -1,
72
+ "natten_parameter_list": null,
73
+ "net": null,
74
+ "num_embodiment_domains": 32,
75
+ "parallelism": {
76
+ "attention_io_layout": "sequence_sharded",
77
+ "cfg_parallel_shard_degree": 1,
78
+ "context_parallel_shard_degree": 1,
79
+ "data_parallel_replicate_degree": 1,
80
+ "data_parallel_shard_degree": 8,
81
+ "enable_inference_mode": false,
82
+ "fsdp_master_dtype": "float32"
83
+ },
84
+ "precision": "bfloat16",
85
+ "rectified_flow_inference_config": {
86
+ "num_train_timesteps": 1000,
87
+ "scheduler_type": "unipc",
88
+ "shift": 1,
89
+ "use_dynamic_shifting": false
90
+ },
91
+ "rectified_flow_training_config": {
92
+ "action_loss_weight": 10.0,
93
+ "align_shared_action_schedule": false,
94
+ "image_loss_scale": 1.0,
95
+ "independent_action_schedule": false,
96
+ "independent_sound_schedule": false,
97
+ "loss_scale": 10.0,
98
+ "normalize_loss_by_active": false,
99
+ "sample_level_loss_averaging": false,
100
+ "shift": {
101
+ "256": 3,
102
+ "480": 5,
103
+ "720": 10
104
+ },
105
+ "shift_action": null,
106
+ "shift_sound": null,
107
+ "sound_loss_scale": null,
108
+ "train_time_action_distribution": "logitnormal",
109
+ "train_time_image_distribution": "logitnormal",
110
+ "train_time_sound_distribution": "logitnormal",
111
+ "train_time_video_distribution": "waver",
112
+ "train_time_weight": "uniform",
113
+ "use_discrete_rf": false,
114
+ "use_dynamic_shift": false
115
+ },
116
+ "resolution": "720",
117
+ "sound_dim": null,
118
+ "sound_gen": false,
119
+ "sound_latent_fps": 25,
120
+ "sound_tokenizer": null,
121
+ "state_ch": 48,
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+ "state_t": 300,
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+ "tokenizer": {
124
+ "_target": "wan2pt2_vae_interface",
125
+ "bucket_name": "",
126
+ "causal": true,
127
+ "chunk_duration": 93,
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+ "encode_bucket_multiple": null,
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+ "encode_chunk_frames": {
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+ "256": 68,
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+ "480": 24,
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+ "720": 8,
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+ "768": 8
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+ },
135
+ "encode_exact_durations": [
136
+ 33
137
+ ],
138
+ "keep_decoder_cache": false,
139
+ "object_store_credential_path_pretrained": "",
140
+ "spatial_compression_factor": 16,
141
+ "temporal_compression_factor": 4,
142
+ "temporal_window": null,
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+ "use_streaming_encode": false,
144
+ "vae_path": "pretrained/tokenizers/video/wan2pt2/Wan2.2_VAE.pth"
145
+ },
146
+ "video_temporal_causal": false,
147
+ "vision_gen": true,
148
+ "vlm_config": {
149
+ "layer_module": "Qwen2MoTDecoderLayer",
150
+ "model_instance": {
151
+ "_target": "qwen3_vl_text_for_causal_lm",
152
+ "config": {
153
+ "_target": "create_vlm_config",
154
+ "base_config": {
155
+ "_target": "qwen3_vl_mot_config_from_json_file",
156
+ "json_file": "cosmos3://vfm/models/vlm/qwen3_vl/configs/Qwen3-VL-8B-Instruct.json"
157
+ },
158
+ "freeze_und": false,
159
+ "layer_module": "MoTDecoderLayer",
160
+ "qk_norm_for_text": true,
161
+ "tie_word_embeddings": true
162
+ }
163
+ },
164
+ "model_name": "Qwen/Qwen3-VL-8B-Instruct",
165
+ "pretrained_weights": {
166
+ "backbone_path": "s3://bucket0/cosmos3/pretrained/huggingface/Qwen/Qwen3-VL-8B-Instruct/",
167
+ "checkpoint_format": null,
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+ "credentials_path": "",
169
+ "enable_gcs_patch_in_boto3": true,
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+ "enabled": false
171
+ },
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+ "qk_norm": false,
173
+ "safetensors_path": "",
174
+ "tie_word_embeddings": false,
175
+ "tokenizer": {
176
+ "_target": "create_qwen2_tokenizer_with_download",
177
+ "config_variant": "hf",
178
+ "pretrained_model_name": "nvidia/Cosmos3-Nano-Policy-DROID"
179
+ },
180
+ "use_system_prompt": false
181
+ }
182
+ }
183
+ },
184
+ "model_type": "cosmos3_omni",
185
+ "text_config": {
186
+ "attention_bias": false,
187
+ "attention_dropout": 0.0,
188
+ "bos_token_id": 151643,
189
+ "dtype": "bfloat16",
190
+ "eos_token_id": 151645,
191
+ "head_dim": 128,
192
+ "hidden_act": "silu",
193
+ "hidden_size": 4096,
194
+ "initializer_range": 0.02,
195
+ "intermediate_size": 12288,
196
+ "max_position_embeddings": 262144,
197
+ "model_type": "qwen3_vl_text",
198
+ "num_attention_heads": 32,
199
+ "num_hidden_layers": 36,
200
+ "num_key_value_heads": 8,
201
+ "rms_norm_eps": 1e-06,
202
+ "rope_scaling": {
203
+ "mrope_interleaved": true,
204
+ "mrope_section": [
205
+ 24,
206
+ 20,
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+ 20
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+ ],
209
+ "rope_type": "default"
210
+ },
211
+ "rope_theta": 5000000,
212
+ "use_cache": true,
213
+ "vocab_size": 151936
214
+ },
215
+ "tie_word_embeddings": false,
216
+ "transformers_version": "4.57.0.dev0",
217
+ "video_token_id": 151656,
218
+ "vision_config": {
219
+ "deepstack_visual_indexes": [
220
+ 8,
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+ 16,
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+ 24
223
+ ],
224
+ "depth": 27,
225
+ "hidden_act": "gelu_pytorch_tanh",
226
+ "hidden_size": 1152,
227
+ "in_channels": 3,
228
+ "initializer_range": 0.02,
229
+ "intermediate_size": 4304,
230
+ "model_type": "qwen3_vl",
231
+ "num_heads": 16,
232
+ "num_position_embeddings": 2304,
233
+ "out_hidden_size": 4096,
234
+ "patch_size": 16,
235
+ "spatial_merge_size": 2,
236
+ "temporal_patch_size": 2
237
+ },
238
+ "vision_end_token_id": 151653,
239
+ "vision_start_token_id": 151652
240
+ }
iter_000500/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "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_k": 20,
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+ "top_p": 0.8,
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+ "repetition_penalty": 1.0,
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+ "temperature": 0.7,
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+ "transformers_version": "4.56.0"
14
+ }
iter_000500/merges.txt ADDED
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iter_000500/model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_000500/model_index.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "Cosmos3OmniPipeline",
3
+ "_diffusers_version": "0.39.0",
4
+ "safety_checker": [
5
+ null,
6
+ null
7
+ ],
8
+ "scheduler": [
9
+ "diffusers",
10
+ "UniPCMultistepScheduler"
11
+ ],
12
+ "sound_tokenizer": [
13
+ null,
14
+ null
15
+ ],
16
+ "text_tokenizer": [
17
+ "transformers",
18
+ "Qwen2TokenizerFast"
19
+ ],
20
+ "transformer": [
21
+ "diffusers",
22
+ "Cosmos3OmniTransformer"
23
+ ],
24
+ "vae": [
25
+ "diffusers",
26
+ "AutoencoderKLWan"
27
+ ],
28
+ "vision_encoder": [
29
+ "transformers",
30
+ "Qwen3VLVisionModel"
31
+ ]
32
+ }
iter_000500/modular_model_index.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_blocks_class_name": "Cosmos3OmniBlocks",
3
+ "_class_name": "Cosmos3OmniModularPipeline",
4
+ "_diffusers_version": "0.39.0",
5
+ "is_distilled": false,
6
+ "scheduler": [
7
+ "diffusers",
8
+ "UniPCMultistepScheduler",
9
+ {
10
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
11
+ "subfolder": "iter_000500/scheduler",
12
+ "type_hint": [
13
+ "diffusers",
14
+ "UniPCMultistepScheduler"
15
+ ],
16
+ "variant": null
17
+ }
18
+ ],
19
+ "text_tokenizer": [
20
+ "transformers",
21
+ "Qwen2TokenizerFast",
22
+ {
23
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
24
+ "subfolder": "iter_000500/text_tokenizer",
25
+ "type_hint": [
26
+ "transformers",
27
+ "Qwen2TokenizerFast"
28
+ ],
29
+ "variant": null
30
+ }
31
+ ],
32
+ "transformer": [
33
+ "diffusers",
34
+ "Cosmos3OmniTransformer",
35
+ {
36
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
37
+ "subfolder": "iter_000500/transformer",
38
+ "type_hint": [
39
+ "diffusers",
40
+ "Cosmos3OmniTransformer"
41
+ ],
42
+ "variant": null
43
+ }
44
+ ],
45
+ "vae": [
46
+ "diffusers",
47
+ "AutoencoderKLWan",
48
+ {
49
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
50
+ "subfolder": "iter_000500/vae",
51
+ "type_hint": [
52
+ "diffusers",
53
+ "AutoencoderKLWan"
54
+ ],
55
+ "variant": null
56
+ }
57
+ ]
58
+ }
iter_000500/preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
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
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
iter_000500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_000500/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
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
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "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": {
206
+ "content": "</think>",
207
+ "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|>",
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
+ }
iter_000500/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
+ }
iter_000500/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_001000/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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
+ }
iter_001000/checkpoint.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {}
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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": {
206
+ "content": "</think>",
207
+ "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|>",
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
+ }
iter_001000/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
+ }
iter_001000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_001500/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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
+ }
iter_001500/checkpoint.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {}
iter_001500/config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "allow_patterns_overrides": [
3
+ "*/*.safetensors"
4
+ ],
5
+ "architectures": [
6
+ "Cosmos3ForConditionalGeneration"
7
+ ],
8
+ "image_token_id": 151655,
9
+ "model": {
10
+ "_recursive_": false,
11
+ "_target": "omni_mot_model",
12
+ "config": {
13
+ "_type": "omni_mot_model_config",
14
+ "action_gen": true,
15
+ "activation_checkpointing": {
16
+ "determinism_check": "default",
17
+ "mode": "full",
18
+ "preserve_rng_state": true,
19
+ "save_ops_regex": [
20
+ "fmha"
21
+ ]
22
+ },
23
+ "causal_training_strategy": "none",
24
+ "compile": {
25
+ "ar_post_saturation_mode": "default",
26
+ "compile_dynamic": true,
27
+ "compiled_region": "language",
28
+ "coordinate_descent_tuning": false,
29
+ "enabled": false,
30
+ "max_autotune_pointwise": false,
31
+ "use_cuda_graphs": false
32
+ },
33
+ "diffusion_expert_config": {
34
+ "base_fps": 24,
35
+ "enable_fps_modulation": true,
36
+ "load_weights_from_pretrained": false,
37
+ "max_vae_latent_side_after_patchify": 20,
38
+ "patch_spatial": 2,
39
+ "sound_base_temporal_compression_factor": null,
40
+ "timestep_range": 1.0,
41
+ "unified_3d_mrope_reset_spatial_ids": true,
42
+ "unified_3d_mrope_temporal_modality_margin": 15000,
43
+ "vision_temporal_position_mode": "latent_index"
44
+ },
45
+ "ema": {
46
+ "enabled": false,
47
+ "iteration_shift": 0,
48
+ "rate": 0.1
49
+ },
50
+ "enable_input_bias": true,
51
+ "exclude_reasoner_weights_from_checkpoint": false,
52
+ "fixed_step_sampler_config": null,
53
+ "input_caption_key": "ai_caption",
54
+ "input_image_key": "images",
55
+ "input_video_key": "video",
56
+ "joint_attn_implementation": "two_way",
57
+ "latent_downsample_factor": 16,
58
+ "lbl": {
59
+ "coeff_gen": null,
60
+ "coeff_und": null,
61
+ "method": "local"
62
+ },
63
+ "load_vision_tokenizer": true,
64
+ "log_enc_time_every_n": 100,
65
+ "lora_alpha": 32,
66
+ "lora_enabled": false,
67
+ "lora_extra_trainable_modules": "",
68
+ "lora_rank": 16,
69
+ "lora_target_modules": "q_proj_moe_gen,k_proj_moe_gen,v_proj_moe_gen,o_proj_moe_gen",
70
+ "max_action_dim": 64,
71
+ "max_num_tokens_after_packing": -1,
72
+ "natten_parameter_list": null,
73
+ "net": null,
74
+ "num_embodiment_domains": 32,
75
+ "parallelism": {
76
+ "attention_io_layout": "sequence_sharded",
77
+ "cfg_parallel_shard_degree": 1,
78
+ "context_parallel_shard_degree": 1,
79
+ "data_parallel_replicate_degree": 1,
80
+ "data_parallel_shard_degree": 8,
81
+ "enable_inference_mode": false,
82
+ "fsdp_master_dtype": "float32"
83
+ },
84
+ "precision": "bfloat16",
85
+ "rectified_flow_inference_config": {
86
+ "num_train_timesteps": 1000,
87
+ "scheduler_type": "unipc",
88
+ "shift": 1,
89
+ "use_dynamic_shifting": false
90
+ },
91
+ "rectified_flow_training_config": {
92
+ "action_loss_weight": 10.0,
93
+ "align_shared_action_schedule": false,
94
+ "image_loss_scale": 1.0,
95
+ "independent_action_schedule": false,
96
+ "independent_sound_schedule": false,
97
+ "loss_scale": 10.0,
98
+ "normalize_loss_by_active": false,
99
+ "sample_level_loss_averaging": false,
100
+ "shift": {
101
+ "256": 3,
102
+ "480": 5,
103
+ "720": 10
104
+ },
105
+ "shift_action": null,
106
+ "shift_sound": null,
107
+ "sound_loss_scale": null,
108
+ "train_time_action_distribution": "logitnormal",
109
+ "train_time_image_distribution": "logitnormal",
110
+ "train_time_sound_distribution": "logitnormal",
111
+ "train_time_video_distribution": "waver",
112
+ "train_time_weight": "uniform",
113
+ "use_discrete_rf": false,
114
+ "use_dynamic_shift": false
115
+ },
116
+ "resolution": "720",
117
+ "sound_dim": null,
118
+ "sound_gen": false,
119
+ "sound_latent_fps": 25,
120
+ "sound_tokenizer": null,
121
+ "state_ch": 48,
122
+ "state_t": 300,
123
+ "tokenizer": {
124
+ "_target": "wan2pt2_vae_interface",
125
+ "bucket_name": "",
126
+ "causal": true,
127
+ "chunk_duration": 93,
128
+ "encode_bucket_multiple": null,
129
+ "encode_chunk_frames": {
130
+ "256": 68,
131
+ "480": 24,
132
+ "720": 8,
133
+ "768": 8
134
+ },
135
+ "encode_exact_durations": [
136
+ 33
137
+ ],
138
+ "keep_decoder_cache": false,
139
+ "object_store_credential_path_pretrained": "",
140
+ "spatial_compression_factor": 16,
141
+ "temporal_compression_factor": 4,
142
+ "temporal_window": null,
143
+ "use_streaming_encode": false,
144
+ "vae_path": "pretrained/tokenizers/video/wan2pt2/Wan2.2_VAE.pth"
145
+ },
146
+ "video_temporal_causal": false,
147
+ "vision_gen": true,
148
+ "vlm_config": {
149
+ "layer_module": "Qwen2MoTDecoderLayer",
150
+ "model_instance": {
151
+ "_target": "qwen3_vl_text_for_causal_lm",
152
+ "config": {
153
+ "_target": "create_vlm_config",
154
+ "base_config": {
155
+ "_target": "qwen3_vl_mot_config_from_json_file",
156
+ "json_file": "cosmos3://vfm/models/vlm/qwen3_vl/configs/Qwen3-VL-8B-Instruct.json"
157
+ },
158
+ "freeze_und": false,
159
+ "layer_module": "MoTDecoderLayer",
160
+ "qk_norm_for_text": true,
161
+ "tie_word_embeddings": true
162
+ }
163
+ },
164
+ "model_name": "Qwen/Qwen3-VL-8B-Instruct",
165
+ "pretrained_weights": {
166
+ "backbone_path": "s3://bucket0/cosmos3/pretrained/huggingface/Qwen/Qwen3-VL-8B-Instruct/",
167
+ "checkpoint_format": null,
168
+ "credentials_path": "",
169
+ "enable_gcs_patch_in_boto3": true,
170
+ "enabled": false
171
+ },
172
+ "qk_norm": false,
173
+ "safetensors_path": "",
174
+ "tie_word_embeddings": false,
175
+ "tokenizer": {
176
+ "_target": "create_qwen2_tokenizer_with_download",
177
+ "config_variant": "hf",
178
+ "pretrained_model_name": "nvidia/Cosmos3-Nano-Policy-DROID"
179
+ },
180
+ "use_system_prompt": false
181
+ }
182
+ }
183
+ },
184
+ "model_type": "cosmos3_omni",
185
+ "text_config": {
186
+ "attention_bias": false,
187
+ "attention_dropout": 0.0,
188
+ "bos_token_id": 151643,
189
+ "dtype": "bfloat16",
190
+ "eos_token_id": 151645,
191
+ "head_dim": 128,
192
+ "hidden_act": "silu",
193
+ "hidden_size": 4096,
194
+ "initializer_range": 0.02,
195
+ "intermediate_size": 12288,
196
+ "max_position_embeddings": 262144,
197
+ "model_type": "qwen3_vl_text",
198
+ "num_attention_heads": 32,
199
+ "num_hidden_layers": 36,
200
+ "num_key_value_heads": 8,
201
+ "rms_norm_eps": 1e-06,
202
+ "rope_scaling": {
203
+ "mrope_interleaved": true,
204
+ "mrope_section": [
205
+ 24,
206
+ 20,
207
+ 20
208
+ ],
209
+ "rope_type": "default"
210
+ },
211
+ "rope_theta": 5000000,
212
+ "use_cache": true,
213
+ "vocab_size": 151936
214
+ },
215
+ "tie_word_embeddings": false,
216
+ "transformers_version": "4.57.0.dev0",
217
+ "video_token_id": 151656,
218
+ "vision_config": {
219
+ "deepstack_visual_indexes": [
220
+ 8,
221
+ 16,
222
+ 24
223
+ ],
224
+ "depth": 27,
225
+ "hidden_act": "gelu_pytorch_tanh",
226
+ "hidden_size": 1152,
227
+ "in_channels": 3,
228
+ "initializer_range": 0.02,
229
+ "intermediate_size": 4304,
230
+ "model_type": "qwen3_vl",
231
+ "num_heads": 16,
232
+ "num_position_embeddings": 2304,
233
+ "out_hidden_size": 4096,
234
+ "patch_size": 16,
235
+ "spatial_merge_size": 2,
236
+ "temporal_patch_size": 2
237
+ },
238
+ "vision_end_token_id": 151653,
239
+ "vision_start_token_id": 151652
240
+ }
iter_001500/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "top_k": 20,
10
+ "top_p": 0.8,
11
+ "repetition_penalty": 1.0,
12
+ "temperature": 0.7,
13
+ "transformers_version": "4.56.0"
14
+ }
iter_001500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
iter_001500/model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_001500/model_index.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "Cosmos3OmniPipeline",
3
+ "_diffusers_version": "0.39.0",
4
+ "safety_checker": [
5
+ null,
6
+ null
7
+ ],
8
+ "scheduler": [
9
+ "diffusers",
10
+ "UniPCMultistepScheduler"
11
+ ],
12
+ "sound_tokenizer": [
13
+ null,
14
+ null
15
+ ],
16
+ "text_tokenizer": [
17
+ "transformers",
18
+ "Qwen2TokenizerFast"
19
+ ],
20
+ "transformer": [
21
+ "diffusers",
22
+ "Cosmos3OmniTransformer"
23
+ ],
24
+ "vae": [
25
+ "diffusers",
26
+ "AutoencoderKLWan"
27
+ ],
28
+ "vision_encoder": [
29
+ "transformers",
30
+ "Qwen3VLVisionModel"
31
+ ]
32
+ }
iter_001500/modular_model_index.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_blocks_class_name": "Cosmos3OmniBlocks",
3
+ "_class_name": "Cosmos3OmniModularPipeline",
4
+ "_diffusers_version": "0.39.0",
5
+ "is_distilled": false,
6
+ "scheduler": [
7
+ "diffusers",
8
+ "UniPCMultistepScheduler",
9
+ {
10
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
11
+ "subfolder": "iter_001500/scheduler",
12
+ "type_hint": [
13
+ "diffusers",
14
+ "UniPCMultistepScheduler"
15
+ ],
16
+ "variant": null
17
+ }
18
+ ],
19
+ "text_tokenizer": [
20
+ "transformers",
21
+ "Qwen2TokenizerFast",
22
+ {
23
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
24
+ "subfolder": "iter_001500/text_tokenizer",
25
+ "type_hint": [
26
+ "transformers",
27
+ "Qwen2TokenizerFast"
28
+ ],
29
+ "variant": null
30
+ }
31
+ ],
32
+ "transformer": [
33
+ "diffusers",
34
+ "Cosmos3OmniTransformer",
35
+ {
36
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
37
+ "subfolder": "iter_001500/transformer",
38
+ "type_hint": [
39
+ "diffusers",
40
+ "Cosmos3OmniTransformer"
41
+ ],
42
+ "variant": null
43
+ }
44
+ ],
45
+ "vae": [
46
+ "diffusers",
47
+ "AutoencoderKLWan",
48
+ {
49
+ "pretrained_model_name_or_path": "Cosmos-Data/Cosmos-droid",
50
+ "subfolder": "iter_001500/vae",
51
+ "type_hint": [
52
+ "diffusers",
53
+ "AutoencoderKLWan"
54
+ ],
55
+ "variant": null
56
+ }
57
+ ]
58
+ }
iter_001500/preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
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
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
iter_001500/scheduler/scheduler_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "UniPCMultistepScheduler",
3
+ "_diffusers_version": "0.39.0",
4
+ "beta_end": 0.02,
5
+ "beta_schedule": "linear",
6
+ "beta_start": 0.0001,
7
+ "disable_corrector": [],
8
+ "dynamic_thresholding_ratio": 0.995,
9
+ "final_sigmas_type": "zero",
10
+ "flow_shift": 1.0,
11
+ "lower_order_final": true,
12
+ "num_train_timesteps": 1000,
13
+ "predict_x0": true,
14
+ "prediction_type": "flow_prediction",
15
+ "rescale_betas_zero_snr": false,
16
+ "sample_max_value": 1.0,
17
+ "shift_terminal": null,
18
+ "sigma_max": 200.0,
19
+ "sigma_min": 0.147,
20
+ "solver_order": 2,
21
+ "solver_p": null,
22
+ "solver_type": "bh2",
23
+ "steps_offset": 0,
24
+ "thresholding": false,
25
+ "time_shift_type": "exponential",
26
+ "timestep_spacing": "linspace",
27
+ "trained_betas": null,
28
+ "use_beta_sigmas": false,
29
+ "use_dynamic_shifting": false,
30
+ "use_exponential_sigmas": false,
31
+ "use_flow_sigmas": true,
32
+ "use_karras_sigmas": true
33
+ }
iter_001500/text_tokenizer/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
iter_001500/text_tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
6
+ {%- else %}
7
+ {%- for content in messages[0].content %}
8
+ {%- if 'text' in content %}
9
+ {{- content.text }}
10
+ {%- endif %}
11
+ {%- endfor %}
12
+ {%- endif %}
13
+ {{- '\n\n' }}
14
+ {%- endif %}
15
+ {{- "# 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>" }}
16
+ {%- for tool in tools %}
17
+ {{- "\n" }}
18
+ {{- tool | tojson }}
19
+ {%- endfor %}
20
+ {{- "\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" }}
21
+ {%- else %}
22
+ {%- if messages[0].role == 'system' %}
23
+ {{- '<|im_start|>system\n' }}
24
+ {%- if messages[0].content is string %}
25
+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
+ {%- endif %}
31
+ {%- endfor %}
32
+ {%- endif %}
33
+ {{- '<|im_end|>\n' }}
34
+ {%- endif %}
35
+ {%- endif %}
36
+ {%- set image_count = namespace(value=0) %}
37
+ {%- set video_count = namespace(value=0) %}
38
+ {%- for message in messages %}
39
+ {%- if message.role == "user" %}
40
+ {{- '<|im_start|>' + message.role + '\n' }}
41
+ {%- if message.content is string %}
42
+ {{- message.content }}
43
+ {%- else %}
44
+ {%- for content in message.content %}
45
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
46
+ {%- set image_count.value = image_count.value + 1 %}
47
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
50
+ {%- set video_count.value = video_count.value + 1 %}
51
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
52
+ <|vision_start|><|video_pad|><|vision_end|>
53
+ {%- elif 'text' in content %}
54
+ {{- content.text }}
55
+ {%- endif %}
56
+ {%- endfor %}
57
+ {%- endif %}
58
+ {{- '<|im_end|>\n' }}
59
+ {%- elif message.role == "assistant" %}
60
+ {{- '<|im_start|>' + message.role + '\n' }}
61
+ {%- if message.content is string %}
62
+ {{- message.content }}
63
+ {%- else %}
64
+ {%- for content_item in message.content %}
65
+ {%- if 'text' in content_item %}
66
+ {{- content_item.text }}
67
+ {%- endif %}
68
+ {%- endfor %}
69
+ {%- endif %}
70
+ {%- if message.tool_calls %}
71
+ {%- for tool_call in message.tool_calls %}
72
+ {%- if (loop.first and message.content) or (not loop.first) %}
73
+ {{- '\n' }}
74
+ {%- endif %}
75
+ {%- if tool_call.function %}
76
+ {%- set tool_call = tool_call.function %}
77
+ {%- endif %}
78
+ {{- '<tool_call>\n{"name": "' }}
79
+ {{- tool_call.name }}
80
+ {{- '", "arguments": ' }}
81
+ {%- if tool_call.arguments is string %}
82
+ {{- tool_call.arguments }}
83
+ {%- else %}
84
+ {{- tool_call.arguments | tojson }}
85
+ {%- endif %}
86
+ {{- '}\n</tool_call>' }}
87
+ {%- endfor %}
88
+ {%- endif %}
89
+ {{- '<|im_end|>\n' }}
90
+ {%- elif message.role == "tool" %}
91
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
92
+ {{- '<|im_start|>user' }}
93
+ {%- endif %}
94
+ {{- '\n<tool_response>\n' }}
95
+ {%- if message.content is string %}
96
+ {{- message.content }}
97
+ {%- else %}
98
+ {%- for content in message.content %}
99
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
100
+ {%- set image_count.value = image_count.value + 1 %}
101
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
102
+ <|vision_start|><|image_pad|><|vision_end|>
103
+ {%- elif content.type == 'video' or 'video' in content %}
104
+ {%- set video_count.value = video_count.value + 1 %}
105
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
106
+ <|vision_start|><|video_pad|><|vision_end|>
107
+ {%- elif 'text' in content %}
108
+ {{- content.text }}
109
+ {%- endif %}
110
+ {%- endfor %}
111
+ {%- endif %}
112
+ {{- '\n</tool_response>' }}
113
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
114
+ {{- '<|im_end|>\n' }}
115
+ {%- endif %}
116
+ {%- endif %}
117
+ {%- endfor %}
118
+ {%- if add_generation_prompt %}
119
+ {{- '<|im_start|>assistant\n' }}
120
+ {%- endif %}
iter_001500/text_tokenizer/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
iter_001500/text_tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
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
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "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": {
206
+ "content": "</think>",
207
+ "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|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
iter_001500/text_tokenizer/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_001500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
iter_001500/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
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
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "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": {
206
+ "content": "</think>",
207
+ "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|>",
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
+ }
iter_001500/transformer/config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "Cosmos3OmniTransformer",
3
+ "_diffusers_version": "0.39.0",
4
+ "action_dim": 64,
5
+ "action_gen": true,
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "base_fps": 24,
9
+ "enable_fps_modulation": true,
10
+ "head_dim": 128,
11
+ "hidden_size": 4096,
12
+ "intermediate_size": 12288,
13
+ "latent_channel": 48,
14
+ "latent_patch_size": 2,
15
+ "num_attention_heads": 32,
16
+ "num_embodiment_domains": 32,
17
+ "num_hidden_layers": 36,
18
+ "num_key_value_heads": 8,
19
+ "patch_latent_dim": 192,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_axes_dim": [
22
+ 24,
23
+ 20,
24
+ 20
25
+ ],
26
+ "rope_scaling": {
27
+ "mrope_interleaved": true,
28
+ "mrope_section": [
29
+ 24,
30
+ 20,
31
+ 20
32
+ ],
33
+ "rope_type": "default"
34
+ },
35
+ "rope_theta": 5000000,
36
+ "sound_dim": null,
37
+ "sound_gen": false,
38
+ "sound_latent_fps": 25,
39
+ "timestep_scale": 0.001,
40
+ "unified_3d_mrope_reset_spatial_ids": true,
41
+ "unified_3d_mrope_temporal_modality_margin": 15000,
42
+ "vocab_size": 151936
43
+ }
iter_001500/transformer/diffusion_pytorch_model.safetensors.index.json ADDED
@@ -0,0 +1,816 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30346273152
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+ },
5
+ "weight_map": {
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+ "action_modality_embed": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "action_proj_in.bias.weight": "diffusion_pytorch_model-00007-of-00007.safetensors",
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+ "action_proj_in.fc.weight": "diffusion_pytorch_model-00007-of-00007.safetensors",
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+ "action_proj_out.bias.weight": "diffusion_pytorch_model-00007-of-00007.safetensors",
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+ "action_proj_out.fc.weight": "diffusion_pytorch_model-00007-of-00007.safetensors",
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+ "embed_tokens.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.input_layernorm.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.input_layernorm_moe_gen.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp.down_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp.gate_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp.up_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp_moe_gen.down_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp_moe_gen.gate_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.mlp_moe_gen.up_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.post_attention_layernorm.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.post_attention_layernorm_moe_gen.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.add_k_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.add_q_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.add_v_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.norm_added_k.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.norm_added_q.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.norm_k.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.norm_q.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.to_add_out.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.to_k.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.to_out.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.to_q.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.0.self_attn.to_v.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.input_layernorm.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.input_layernorm_moe_gen.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp.down_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp.gate_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp.up_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp_moe_gen.down_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp_moe_gen.gate_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.mlp_moe_gen.up_proj.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.post_attention_layernorm.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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+ "layers.1.post_attention_layernorm_moe_gen.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
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