Add files using upload-large-folder tool

runs_laq_lt/cocolt_2ep_hires/added_tokens.json

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+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
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+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
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+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

runs_laq_lt/cocolt_2ep_hires/chat_template.jinja

@@ -0,0 +1,120 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' }}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- for message in messages %}
+    {%- if message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content_item in message.content %}
+                {%- if 'text' in content_item %}
+                    {{- content_item.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and message.content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

runs_laq_lt/cocolt_2ep_hires/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.1"
+}

runs_laq_lt/cocolt_2ep_hires/train_20260717_060023.log

@@ -0,0 +1,7 @@
+
+[2026-07-17 06:00:44,968] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Warning: The cache directory for DeepSpeed Triton autotune, /home/swasim_hpc/.triton/autotune, appears to be on an NFS system. While this is generally acceptable, if you experience slowdowns or hanging when DeepSpeed exits, it is recommended to set the TRITON_CACHE_DIR environment variable to a non-NFS path.
+[2026-07-17 06:00:45,991] [INFO] [comm.py:652:init_distributed] cdb=None
+Using /home/swasim_hpc/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
+Loading extension module fused_adam...
+Time to load fused_adam op: 0.20276403427124023 seconds

runs_laq_lt/cocolt_2ep_hires/video_preprocessor_config.json

@@ -0,0 +1,41 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "do_center_crop": null,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_sample_frames": true,
+  "fps": 2,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "input_data_format": null,
+  "max_frames": 768,
+  "merge_size": 2,
+  "min_frames": 4,
+  "num_frames": null,
+  "pad_size": null,
+  "patch_size": 16,
+  "processor_class": "Qwen3VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_metadata": false,
+  "size": {
+    "longest_edge": 25165824,
+    "shortest_edge": 4096
+  },
+  "temporal_patch_size": 2,
+  "video_metadata": null,
+  "video_processor_type": "Qwen3VLVideoProcessor"
+}

runs_laq_lt/eval/cocolt_1ep_native/summary.txt

@@ -0,0 +1,112 @@
+==============================================================================
+EVAL SUMMARY  |  cocolt_1ep_native
+==============================================================================
+
+Metric: mean-over-IoU (fastevaluate). BPS = boxes/second, batch 1, 1 GPU.
+fallback% = switch_to_ar / forward_steps  (fraction of block-decisions; paper implies ~7-8%)
+
+      profile    mode |     F1      P      R  F1@.5 |    BPS  steps  boxes fallb%
+---------------------------------------------------------------------------------
+  paper_seed0    slow |   47.0   48.6   45.6   68.0 |   2.73   70.6   7.39    0.0
+  paper_seed0    fast |   45.6   55.7   38.7   63.0 |   8.86   15.6   7.14    0.0
+  paper_seed0  hybrid |   47.0   56.6   40.2   64.7 |   8.21   18.3   7.29    4.2
+
+  paper_seed1    slow |   47.4   49.1   45.8   68.6 |   2.73   70.2   7.35    0.0
+  paper_seed1    fast |   45.6   55.7   38.7   63.0 |   8.88   15.6   7.13    0.0
+  paper_seed1  hybrid |   46.9   56.3   40.2   64.6 |   8.21   18.4   7.31    4.2
+
+ paper_greedy    slow |   50.3   52.1   48.7   70.5 |   2.78   72.2   7.57    0.0
+ paper_greedy    fast |   47.8   52.4   44.0   67.0 |   9.26   15.6   7.26    0.0
+ paper_greedy  hybrid |   48.9   52.9   45.4   68.3 |   8.47   19.2   7.48    5.1
+
+       legacy    slow |   50.3   52.1   48.7   70.5 |   2.79   72.2   7.57    0.0
+       legacy    fast |   47.8   52.4   44.0   66.9 |   9.21   15.6   7.26    0.0
+       legacy  hybrid |   48.9   52.9   45.4   68.3 |   8.46   19.2   7.48    5.1
+
+paper is STOCHASTIC (nucleus sampling). Mean +/- half-spread over 2 seeds:
+---------------------------------------------------------------------------------
+ paper (mean)    slow | F1   47.2+/-0.2   BPS    2.7+/-0.0   fallback%    0.0+/-0.0
+ paper (mean)    fast | F1   45.6+/-0.0   BPS    8.9+/-0.0   fallback%    0.0+/-0.0
+ paper (mean)  hybrid | F1   46.9+/-0.0   BPS    8.2+/-0.0   fallback%    4.2+/-0.0
+
+  -> a gap smaller than the spread is NOT evidence. Use paper_greedy
+     (deterministic) for tight comparisons.
+
+INTEGRITY  legacy/slow (50.35) vs paper_greedy/slow (50.35) -> OK (identical, as required)
+
+B1 READ-OUT  hybrid fallback rate (switch_to_ar/forward_steps): legacy 5.1%  vs  paper 4.2%   (paper ~7-8%; the RELATIVE legacy>paper gap is the primary signal)
+  The 0.9 abnormality threshold is calibrated on the SHARPENED (T=0.7 +
+  top-p) distribution. Greedy's flatter softmax trips it far more often, so
+  legacy should be markedly higher. If they match, B1 has not taken effect.
+
+==============================================================================
+PROMPT-SHAPE (n_cats) OOD  --  profile: paper_greedy
+==============================================================================
+Training chunks each image's categories into queries of 1..3. The eval set
+asks for the image's FULL list, and 28.8% of eval queries have >3 categories
+-- a prompt shape the model never saw. Caveat: images with more categories
+also have more objects, so a drop may be difficulty, not novelty.
+
+--- paper_greedy/slow ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  71.5 |  76.0 |  67.4 |  85.2
+         2 |  1522 |  63.0 |  64.7 |  61.4 |  81.2
+         3 |   980 |  53.5 |  56.6 |  50.8 |  72.9
+       4-5 |   935 |  48.5 |  52.6 |  45.0 |  69.4
+        6+ |   490 |  44.9 |  49.8 |  40.8 |  65.8
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  57.5 |  59.2 |  56.0 |  76.1
+  >3 (OOD) |  1425 |  45.2 |  48.7 |  42.1 |  66.1
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+
+--- paper_greedy/fast ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  69.3 |  77.7 |  62.6 |  83.4
+         2 |  1522 |  60.1 |  63.7 |  57.0 |  78.3
+         3 |   980 |  50.8 |  56.2 |  46.4 |  69.0
+       4-5 |   935 |  47.2 |  54.8 |  41.4 |  66.6
+        6+ |   490 |  41.8 |  51.0 |  35.5 |  60.3
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  54.8 |  58.8 |  51.4 |  72.7
+  >3 (OOD) |  1425 |  43.0 |  50.2 |  37.7 |  62.1
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+
+--- paper_greedy/hybrid ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  70.9 |  76.0 |  66.4 |  85.1
+         2 |  1522 |  61.6 |  64.2 |  59.2 |  80.2
+         3 |   980 |  52.1 |  56.9 |  48.0 |  71.0
+       4-5 |   935 |  48.1 |  55.4 |  42.5 |  67.8
+        6+ |   490 |  42.2 |  51.4 |  35.9 |  60.9
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  56.3 |  59.3 |  53.5 |  74.7
+  >3 (OOD) |  1425 |  43.7 |  50.9 |  38.4 |  62.9
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+

runs_laq_lt/eval/refcocolt_2ep_hires/summary.txt

@@ -0,0 +1,112 @@
+==============================================================================
+EVAL SUMMARY  |  refcocolt_2ep_hires
+==============================================================================
+
+Metric: mean-over-IoU (fastevaluate). BPS = boxes/second, batch 1, 1 GPU.
+fallback% = switch_to_ar / forward_steps  (fraction of block-decisions; paper implies ~7-8%)
+
+      profile    mode |     F1      P      R  F1@.5 |    BPS  steps  boxes fallb%
+---------------------------------------------------------------------------------
+  paper_seed0    slow |   53.4   56.0   51.0   72.4 |   2.72   67.4   7.05    0.0
+  paper_seed0    fast |   51.4   61.2   44.3   67.1 |   8.78   15.2   6.85    0.0
+  paper_seed0  hybrid |   52.6   62.0   45.6   68.5 |   7.80   18.8   6.96    5.3
+
+  paper_seed1    slow |   53.2   55.9   50.7   72.0 |   2.72   67.1   7.02    0.0
+  paper_seed1    fast |   51.5   61.3   44.4   67.3 |   8.77   15.2   6.86    0.0
+  paper_seed1  hybrid |   52.5   62.0   45.5   68.5 |   7.86   18.8   6.93    5.3
+
+ paper_greedy    slow |   55.5   57.6   53.5   73.3 |   2.78   69.9   7.32    0.0
+ paper_greedy    fast |   53.5   58.3   49.5   70.8 |   9.17   15.1   7.03    0.0
+ paper_greedy  hybrid |   54.3   58.3   50.9   71.6 |   8.17   19.3   7.24    5.8
+
+       legacy    slow |   55.5   57.6   53.5   73.3 |   2.77   69.9   7.32    0.0
+       legacy    fast |   53.5   58.3   49.5   70.8 |   9.20   15.1   7.03    0.0
+       legacy  hybrid |   54.4   58.4   50.9   71.7 |   8.18   19.4   7.25    5.8
+
+paper is STOCHASTIC (nucleus sampling). Mean +/- half-spread over 2 seeds:
+---------------------------------------------------------------------------------
+ paper (mean)    slow | F1   53.3+/-0.1   BPS    2.7+/-0.0   fallback%    0.0+/-0.0
+ paper (mean)    fast | F1   51.5+/-0.0   BPS    8.8+/-0.0   fallback%    0.0+/-0.0
+ paper (mean)  hybrid | F1   52.5+/-0.0   BPS    7.8+/-0.0   fallback%    5.3+/-0.0
+
+  -> a gap smaller than the spread is NOT evidence. Use paper_greedy
+     (deterministic) for tight comparisons.
+
+INTEGRITY  legacy/slow (55.48) vs paper_greedy/slow (55.48) -> OK (identical, as required)
+
+B1 READ-OUT  hybrid fallback rate (switch_to_ar/forward_steps): legacy 5.8%  vs  paper 5.3%   (paper ~7-8%; the RELATIVE legacy>paper gap is the primary signal)
+  The 0.9 abnormality threshold is calibrated on the SHARPENED (T=0.7 +
+  top-p) distribution. Greedy's flatter softmax trips it far more often, so
+  legacy should be markedly higher. If they match, B1 has not taken effect.
+
+==============================================================================
+PROMPT-SHAPE (n_cats) OOD  --  profile: paper_greedy
+==============================================================================
+Training chunks each image's categories into queries of 1..3. The eval set
+asks for the image's FULL list, and 28.8% of eval queries have >3 categories
+-- a prompt shape the model never saw. Caveat: images with more categories
+also have more objects, so a drop may be difficulty, not novelty.
+
+--- paper_greedy/slow ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  73.1 |  77.7 |  69.0 |  86.5
+         2 |  1522 |  67.0 |  69.2 |  64.9 |  82.7
+         3 |   980 |  57.8 |  61.2 |  54.7 |  74.9
+       4-5 |   935 |  54.3 |  58.2 |  50.9 |  72.6
+        6+ |   490 |  50.3 |  54.1 |  47.0 |  69.0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  61.5 |  63.4 |  59.7 |  77.6
+  >3 (OOD) |  1425 |  51.4 |  54.7 |  48.5 |  70.2
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+
+--- paper_greedy/fast ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  71.9 |  79.1 |  65.9 |  85.2
+         2 |  1522 |  65.0 |  69.2 |  61.4 |  80.3
+         3 |   980 |  56.5 |  61.9 |  52.0 |  73.4
+       4-5 |   935 |  52.5 |  59.7 |  46.9 |  70.3
+        6+ |   490 |  45.9 |  52.7 |  40.6 |  64.1
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  60.2 |  64.3 |  56.6 |  76.1
+  >3 (OOD) |  1425 |  48.8 |  56.4 |  43.1 |  66.3
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+
+--- paper_greedy/hybrid ---
+predictions: 4952  |  eval queries: 4952  |  unbucketed: 0
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+         1 |  1025 |  73.0 |  77.8 |  68.9 |  86.4
+         2 |  1522 |  66.2 |  69.5 |  63.2 |  81.4
+         3 |   980 |  57.6 |  62.3 |  53.6 |  74.5
+       4-5 |   935 |  53.1 |  59.0 |  48.2 |  71.3
+        6+ |   490 |  46.4 |  53.3 |  41.1 |  65.1
+
+    n_cats |     N |    F1 |     P |     R | F1@.5
+--------------------------------------------------
+  <=3 (IN) |  3527 |  61.0 |  63.9 |  58.4 |  77.0
+  >3 (OOD) |  1425 |  49.3 |  55.8 |  44.2 |  67.5
+
+If '>3 (OOD)' is materially below '<=3 (IN)', the prompt-shape gap
+is real: training never showed the model a 4+-category query.
+Careful: bigger images have more categories AND more objects, so a
+small drop may just be task difficulty, not prompt-shape OOD.
+

runs_laq_lt/refcocolt_1ep_native/added_tokens.json

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+  "<905>": 152581,
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+  "<908>": 152584,
+  "<909>": 152585,
+  "<90>": 151766,
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+  "<915>": 152591,
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+  "<91>": 151767,
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+  "<927>": 152603,
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+  "<967>": 152643,
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+  "<999>": 152675,
+  "<99>": 151775,
+  "<9>": 151685,
+  "<box>": 151669,
+  "<interval>": 151673,
+  "<null>": 152677,
+  "<ref>": 151671,
+  "<switch>": 152678,
+  "<text_mask>": 151675,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

runs_laq_lt/refcocolt_1ep_native/chat_template.jinja

@@ -0,0 +1,120 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' }}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- for message in messages %}
+    {%- if message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content_item in message.content %}
+                {%- if 'text' in content_item %}
+                    {{- content_item.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and message.content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

runs_laq_lt/refcocolt_1ep_native/config.json

@@ -0,0 +1,72 @@
+{
+  "architectures": [
+    "Qwen3VLPBDForConditionalGeneration"
+  ],
+  "block_size": 6,
+  "causal_attn": false,
+  "dtype": "bfloat16",
+  "image_token_id": 151655,
+  "model_type": "qwen3_vl",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "block_size": 6,
+    "bos_token_id": 151643,
+    "causal_attn": false,
+    "dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "max_position_embeddings": 262144,
+    "model_type": "qwen3_vl_text",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        24,
+        20,
+        20
+      ],
+      "rope_type": "default"
+    },
+    "rope_theta": 5000000,
+    "text_mask_token_id": 151675,
+    "tie_word_embeddings": true,
+    "use_cache": false,
+    "vocab_size": 152704
+  },
+  "text_mask_token_id": 151675,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "video_token_id": 151656,
+  "vision_config": {
+    "deepstack_visual_indexes": [
+      5,
+      11,
+      17
+    ],
+    "depth": 24,
+    "dtype": "bfloat16",
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1024,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "model_type": "qwen3_vl",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 2560,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652
+}

runs_laq_lt/refcocolt_1ep_native/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.1"
+}