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.gitattributes

@@ -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

README.md

@@ -1,6 +1,6 @@
 ---
-library_name: transformers
-tags: []
+library_name: peft
+base_model: google/paligemma-3b-pt-224
 ---
 
 # Model Card for Model ID
@@ -15,7 +15,7 @@ tags: []
 
 <!-- Provide a longer summary of what this model is. -->
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
 
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
@@ -196,4 +196,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj",
-    "up_proj",
     "k_proj",
-    "down_proj",
+    "o_proj",
     "gate_proj",
-    "o_proj"
+    "down_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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-size 22661024
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+size 45258384

optimizer.pt

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+size 90635706

preprocessor_config.json

@@ -0,0 +1,40 @@
+{
+    "_valid_processor_keys": [
+        "images",
+        "do_resize",
+        "size",
+        "resample",
+        "do_rescale",
+        "rescale_factor",
+        "do_normalize",
+        "image_mean",
+        "image_std",
+        "return_tensors",
+        "data_format",
+        "input_data_format",
+        "do_convert_rgb"
+    ],
+    "do_convert_rgb": null,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_processor_type": "SiglipImageProcessor",
+    "image_seq_length": 256,
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "PaliGemmaProcessor",
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+        "height": 224,
+        "width": 224
+    }
+}

rng_state.pth

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scheduler.pt

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tokenizer.json

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training_args.bin

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