Model save

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: google/gemma-3-4b-it
+base_model: Qwen/Qwen2.5-VL-3B-Instruct
 library_name: transformers
 model_name: run_1
 tags:
@@ -11,7 +11,7 @@ licence: license
 
 # Model Card for run_1
 
-This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it).
+This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start

adapter_checkpoint/README.md

@@ -1,5 +1,5 @@
 ---
-base_model: google/gemma-3-4b-it
+base_model: Qwen/Qwen2.5-VL-3B-Instruct
 library_name: peft
 ---
 

adapter_checkpoint/adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "google/gemma-3-4b-it",
+  "base_model_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct",
   "bias": "none",
   "corda_config": null,
   "eva_config": null,
@@ -27,16 +27,17 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "fc1",
-    "o_proj",
-    "down_proj",
-    "q_proj",
-    "out_proj",
     "k_proj",
-    "v_proj",
-    "fc2",
+    "mlp.0",
     "up_proj",
-    "gate_proj"
+    "gate_proj",
+    "mlp.2",
+    "v_proj",
+    "attn.proj",
+    "down_proj",
+    "o_proj",
+    "qkv",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "trainable_token_indices": null,

adapter_checkpoint/adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 2762127280
+oid sha256:7c10a696ea20bab93f1263580f24a4adc032b39634812062604adafa9b9016ca
+size 1327495272

adapter_checkpoint/added_tokens.json

@@ -1,3 +1,24 @@
 {
-  "<image_soft_token>": 262144
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|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
 }

adapter_checkpoint/chat_template.json

@@ -1,3 +1,3 @@
 {
-  "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"
+  "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 %}"
 }

adapter_checkpoint/preprocessor_config.json

@@ -1,29 +1,29 @@
 {
-  "do_convert_rgb": null,
+  "do_convert_rgb": true,
   "do_normalize": true,
-  "do_pan_and_scan": null,
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.5,
-    0.5,
-    0.5
+    0.48145466,
+    0.4578275,
+    0.40821073
   ],
-  "image_processor_type": "Gemma3ImageProcessor",
-  "image_seq_length": 256,
+  "image_processor_type": "Qwen2VLImageProcessor",
   "image_std": [
-    0.5,
-    0.5,
-    0.5
+    0.26862954,
+    0.26130258,
+    0.27577711
   ],
-  "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,
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 896,
-    "width": 896
-  }
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
 }

adapter_checkpoint/special_tokens_map.json

@@ -1,30 +1,28 @@
 {
-  "boi_token": "<start_of_image>",
-  "bos_token": {
-    "content": "<bos>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eoi_token": "<end_of_image>",
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
   "eos_token": {
-    "content": "<eos>",
+    "content": "<|im_end|>",
     "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>",
+    "content": "<|endoftext|>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,

adapter_checkpoint/tokenizer.json

@@ -1,3 +1,3 @@
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+size 11422064

adapter_checkpoint/training_args.bin

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