Copy missing files from `vidore/colqwen2-v0.1`
Browse files- added_tokens.json +16 -0
- chat_template.json +3 -0
- merges.txt +0 -0
- preprocessor_config.json +29 -0
- results.json +1 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +144 -0
- vocab.json +0 -0
added_tokens.json
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{
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.json
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{
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
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}
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merges.txt
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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "Qwen2VLImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"max_pixels": 12845056,
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"merge_size": 2,
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"min_pixels": 3136,
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"patch_size": 14,
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"processor_class": "ColQwen2Processor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"max_pixels": 12845056,
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"min_pixels": 3136
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},
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"temporal_patch_size": 2
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}
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results.json
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{"tatdqa_test": {"ndcg_at_1": 0.63791, "ndcg_at_3": 0.72965, "ndcg_at_5": 0.75898, "ndcg_at_10": 0.77811, "ndcg_at_20": 0.78611, "ndcg_at_100": 0.79262, "ndcg_at_1000": 0.79403, "map_at_1": 0.63791, "map_at_3": 0.70717, "map_at_5": 0.72348, "map_at_10": 0.73141, "map_at_20": 0.73371, "map_at_100": 0.73468, "map_at_1000": 0.73475, "recall_at_1": 0.63791, "recall_at_3": 0.79465, "recall_at_5": 0.86574, "recall_at_10": 0.92467, "recall_at_20": 0.95565, "recall_at_100": 0.98967, "recall_at_1000": 1.0, "precision_at_1": 0.63791, "precision_at_3": 0.26488, "precision_at_5": 0.17315, "precision_at_10": 0.09247, "precision_at_20": 0.04778, "precision_at_100": 0.0099, "precision_at_1000": 0.001, "mrr_at_1": 0.637910085054678, "mrr_at_3": 0.7091940056703118, "mrr_at_5": 0.7245949777237748, "mrr_at_10": 0.7321893864876854, "mrr_at_20": 0.734534735983059, "mrr_at_100": 0.7354492680936119, "mrr_at_1000": 0.7355095493431769, "naucs_at_1_max": 0.11706806975981984, "naucs_at_1_std": -0.3409555849470442, "naucs_at_1_diff1": 0.7715117941189259, "naucs_at_3_max": 0.14662775923175694, "naucs_at_3_std": -0.36798133689268664, "naucs_at_3_diff1": 0.6848741632409352, "naucs_at_5_max": 0.224912526144752, "naucs_at_5_std": -0.3125954444862817, "naucs_at_5_diff1": 0.6637427209678819, "naucs_at_10_max": 0.30806849861185404, "naucs_at_10_std": -0.03316507855697272, "naucs_at_10_diff1": 0.557511941932588, "naucs_at_20_max": 0.33123123923265707, "naucs_at_20_std": 0.15688742820732718, "naucs_at_20_diff1": 0.5492605591760332, "naucs_at_100_max": 0.5543174846455237, "naucs_at_100_std": 0.5976827798155245, "naucs_at_100_diff1": 0.614203438126567, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "shiftproject_test": {"ndcg_at_1": 0.74, "ndcg_at_3": 0.85571, "ndcg_at_5": 0.85958, "ndcg_at_10": 0.8656, "ndcg_at_20": 0.86805, "ndcg_at_100": 0.87169, "ndcg_at_1000": 0.87169, "map_at_1": 0.74, "map_at_3": 0.82667, "map_at_5": 0.82867, "map_at_10": 0.83089, "map_at_20": 0.83151, "map_at_100": 0.83197, "map_at_1000": 0.83197, "recall_at_1": 0.74, "recall_at_3": 0.94, "recall_at_5": 0.95, "recall_at_10": 0.97, "recall_at_20": 0.98, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.74, "precision_at_3": 0.31333, "precision_at_5": 0.19, "precision_at_10": 0.097, "precision_at_20": 0.049, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.76, "mrr_at_3": 0.84, "mrr_at_5": 0.8420000000000001, "mrr_at_10": 0.8442222222222222, "mrr_at_20": 0.8448472222222222, "mrr_at_100": 0.84531461352657, "mrr_at_1000": 0.84531461352657, "naucs_at_1_max": -0.10372653177081258, "naucs_at_1_std": -0.3416933619885646, "naucs_at_1_diff1": 0.6173512834029431, "naucs_at_3_max": -0.11640211640211533, "naucs_at_3_std": -0.039604730781200366, "naucs_at_3_diff1": 0.5161842514783699, "naucs_at_5_max": 0.20830999066293704, "naucs_at_5_std": -0.013258636788043418, "naucs_at_5_diff1": 0.6536881419234374, "naucs_at_10_max": -0.27591036414565706, "naucs_at_10_std": -0.3963585434173691, "naucs_at_10_diff1": 0.807812013694364, "naucs_at_20_max": -0.5929038281979383, "naucs_at_20_std": -0.5088702147525547, "naucs_at_20_diff1": 0.7770774976657324, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "syntheticDocQA_artificial_intelligence_test": {"ndcg_at_1": 0.97, "ndcg_at_3": 0.98262, "ndcg_at_5": 0.98693, "ndcg_at_10": 0.98693, "ndcg_at_20": 0.98693, "ndcg_at_100": 0.98693, "ndcg_at_1000": 0.98693, "map_at_1": 0.97, "map_at_3": 0.98, "map_at_5": 0.9825, "map_at_10": 0.9825, "map_at_20": 0.9825, "map_at_100": 0.9825, "map_at_1000": 0.9825, "recall_at_1": 0.97, "recall_at_3": 0.99, "recall_at_5": 1.0, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.97, "precision_at_3": 0.33, "precision_at_5": 0.2, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.97, "mrr_at_3": 0.98, "mrr_at_5": 0.9825, "mrr_at_10": 0.9825, "mrr_at_20": 0.9825, "mrr_at_100": 0.9825, "mrr_at_1000": 0.9825, "naucs_at_1_max": 0.8078120136943662, "naucs_at_1_std": 0.08839091192032505, "naucs_at_1_diff1": 0.9564270152505465, "naucs_at_3_max": 0.8692810457516356, "naucs_at_3_std": -0.1713352007469878, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 1.0, "naucs_at_5_std": 1.0, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 1.0, "naucs_at_10_std": 1.0, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": 1.0, "naucs_at_20_diff1": 1.0, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "syntheticDocQA_government_reports_test": {"ndcg_at_1": 0.84, "ndcg_at_3": 0.9194, "ndcg_at_5": 0.92802, "ndcg_at_10": 0.92802, "ndcg_at_20": 0.93046, "ndcg_at_100": 0.93046, "ndcg_at_1000": 0.93046, "map_at_1": 0.84, "map_at_3": 0.90167, "map_at_5": 0.90667, "map_at_10": 0.90667, "map_at_20": 0.90729, "map_at_100": 0.90729, "map_at_1000": 0.90729, "recall_at_1": 0.84, "recall_at_3": 0.97, "recall_at_5": 0.99, "recall_at_10": 0.99, "recall_at_20": 1.0, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.84, "precision_at_3": 0.32333, "precision_at_5": 0.198, "precision_at_10": 0.099, "precision_at_20": 0.05, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.86, "mrr_at_3": 0.9166666666666667, "mrr_at_5": 0.9191666666666667, "mrr_at_10": 0.9191666666666667, "mrr_at_20": 0.9198333333333334, "mrr_at_100": 0.9198333333333334, "mrr_at_1000": 0.9198333333333334, "naucs_at_1_max": 0.5329528718703975, "naucs_at_1_std": 0.33511291114383884, "naucs_at_1_diff1": 0.9298907707412855, "naucs_at_3_max": 0.807812013694371, "naucs_at_3_std": 0.8202614379084949, "naucs_at_3_diff1": 0.9128540305010931, "naucs_at_5_max": 1.0, "naucs_at_5_std": 0.7222222222222276, 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"naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "docvqa_test_subsampled": {"ndcg_at_1": 0.51663, "ndcg_at_3": 0.58497, "ndcg_at_5": 0.61407, "ndcg_at_10": 0.63327, "ndcg_at_20": 0.64235, "ndcg_at_100": 0.66195, "ndcg_at_1000": 0.67371, "map_at_1": 0.51663, "map_at_3": 0.568, "map_at_5": 0.58407, "map_at_10": 0.5919, "map_at_20": 0.59446, "map_at_100": 0.59696, "map_at_1000": 0.59742, "recall_at_1": 0.51663, "recall_at_3": 0.63415, "recall_at_5": 0.7051, "recall_at_10": 0.76497, "recall_at_20": 0.80044, "recall_at_100": 0.90909, "recall_at_1000": 1.0, "precision_at_1": 0.51663, "precision_at_3": 0.21138, "precision_at_5": 0.14102, "precision_at_10": 0.0765, "precision_at_20": 0.04002, "precision_at_100": 0.00909, "precision_at_1000": 0.001, "mrr_at_1": 0.5121951219512195, "mrr_at_3": 0.5628233555062824, "mrr_at_5": 0.5796747967479675, "mrr_at_10": 0.5882078625981065, "mrr_at_20": 0.590892152282475, "mrr_at_100": 0.5933575456979939, "mrr_at_1000": 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|
special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
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+
{
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+
"additional_special_tokens": [
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"<|im_start|>",
|
4 |
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"<|im_end|>",
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5 |
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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|
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},
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|
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}
|
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}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
@@ -0,0 +1,144 @@
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|
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{
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2 |
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|
3 |
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|
4 |
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|
5 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
27 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
134 |
+
"clean_up_tokenization_spaces": false,
|
135 |
+
"eos_token": "<|im_end|>",
|
136 |
+
"errors": "replace",
|
137 |
+
"model_max_length": 32768,
|
138 |
+
"pad_token": "<|endoftext|>",
|
139 |
+
"padding_side": "left",
|
140 |
+
"processor_class": "ColQwen2Processor",
|
141 |
+
"split_special_tokens": false,
|
142 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
143 |
+
"unk_token": null
|
144 |
+
}
|
vocab.json
ADDED
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