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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

added_tokens.json

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+ {"<image_soft_token>": 262144}      

chat_template.json

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+  {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n    {%- if messages[0]['content'] is string -%}\n        {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n    {%- else -%}\n        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n    {%- endif -%}\n    {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n    {%- set first_user_prefix = \"\" -%}\n    {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n        {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n    {%- endif -%}\n    {%- if (message['role'] == 'assistant') -%}\n        {%- set role = \"model\" -%}\n    {%- else -%}\n        {%- set role = message['role'] -%}\n    {%- endif -%}\n    {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n    {%- if message['content'] is string -%}\n        {{ message['content'] | trim }}\n    {%- elif message['content'] is iterable -%}\n        {%- for item in message['content'] -%}\n            {%- if item['type'] == 'image' -%}\n                {{ '<start_of_image>' }}\n            {%- elif item['type'] == 'text' -%}\n                {{ item['text'] | trim }}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- else -%}\n        {{ raise_exception(\"Invalid content type\") }}\n    {%- endif -%}\n    {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"}        

config.json

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+   {"architectures": ["Gemma3ForConditionalGeneration"], "boi_token_index": 255999, "eoi_token_index": 256000, "eos_token_id": [1, 106], "image_token_index": 262144, "initializer_range": 0.02, "mm_tokens_per_image": 256, "model_type": "gemma3", "text_config": {"head_dim": 128, "hidden_size": 5376, "intermediate_size": 21504, "model_type": "gemma3_text", "num_attention_heads": 32, "num_hidden_layers": 62, "num_key_value_heads": 16, "query_pre_attn_scalar": 168, "rope_scaling": {"factor": 8.0, "rope_type": "linear"}, "sliding_window": 1024}, "torch_dtype": "bfloat16", "transformers_version": "4.50.0.dev0", "vision_config": {"hidden_size": 1152, "image_size": 896, "intermediate_size": 4304, "model_type": "siglip_vision_model", "num_attention_heads": 16, "num_hidden_layers": 27, "patch_size": 14, "vision_use_head": false}}   

generation_config.json

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+   {"bos_token_id": 2, "cache_implementation": "hybrid", "do_sample": true, "eos_token_id": [1, 106], "pad_token_id": 0, "top_k": 64, "top_p": 0.95, "transformers_version": "4.50.0.dev0"}     

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preprocessor_config.json

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+   {"do_convert_rgb": null, "do_normalize": true, "do_pan_and_scan": null, "do_rescale": true, "do_resize": true, "image_mean": [0.5, 0.5, 0.5], "image_processor_type": "Gemma3ImageProcessor", "image_seq_length": 256, "image_std": [0.5, 0.5, 0.5], "pan_and_scan_max_num_crops": null, "pan_and_scan_min_crop_size": null, "pan_and_scan_min_ratio_to_activate": null, "processor_class": "Gemma3Processor", "resample": 2, "rescale_factor": 0.00392156862745098, "size": {"height": 896, "width": 896}}        

processor_config.json

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+{"image_seq_length": 256, "processor_class": "Gemma3Processor"} 

special_tokens_map.json

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+  {"boi_token": "<start_of_image>", "bos_token": {"content": "<bos>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eoi_token": "<end_of_image>", "eos_token": {"content": "<eos>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "image_token": "<image_soft_token>", "pad_token": {"content": "<pad>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "unk_token": {"content": "<unk>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}} 

tokenizer.json

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tokenizer.model

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