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.gitattributes

@@ -33,3 +33,6 @@ 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
+training_images/training_image_0.jpg filter=lfs diff=lfs merge=lfs -text
+training_images/training_image_1.jpg filter=lfs diff=lfs merge=lfs -text
+training_images/training_image_2.jpg filter=lfs diff=lfs merge=lfs -text

mlx_model_info.json

@@ -0,0 +1,86 @@
+{
+  "model_type": "mlx_smolvlm",
+  "base_model": "mlx-community/SmolVLM-256M-Instruct-bf16",
+  "training_platform": "VisualAI",
+  "training_job_id": 2,
+  "training_completed": true,
+  "note": "This is an MLX-trained model. Use mlx-vlm.load() to reload the base model.",
+  "learned_mappings": {
+    "whats the oem": {
+      "response": "BCYA-26-43Z, BCYA-26-43ZB, BDYS-26-43Z, DFZ5-26-43Z, DGY6-26-43Z",
+      "visual_features": {
+        "feature_vector": [
+          0.65,
+          0.712,
+          0.616,
+          0.744,
+          0.609,
+          0.533,
+          0.002,
+          0.406,
+          0.609,
+          0.375,
+          0.647,
+          0.655,
+          0.646,
+          0.967,
+          0.845,
+          0.892,
+          0.525,
+          0.828,
+          0.605,
+          0.181,
+          0.476,
+          0.949,
+          0.389,
+          0.064,
+          0.283,
+          0.697,
+          0.974,
+          0.262,
+          0.528,
+          0.758,
+          0.601,
+          0.569,
+          0.143,
+          0.118,
+          0.62,
+          0.031,
+          0.332,
+          0.212,
+          0.493,
+          0.767,
+          0.178,
+          0.144,
+          0.455,
+          0.588,
+          0.157,
+          0.376,
+          0.438,
+          0.992,
+          0.945,
+          0.371
+        ],
+        "key_features": [
+          "the",
+          "brake",
+          "component",
+          "metallic",
+          "object",
+          "that",
+          "designed",
+          "used",
+          "standard",
+          "brake",
+          "component",
+          "used",
+          "vehicles",
+          "reduce",
+          "the",
+          "force",
+          "applied",
+          "the",
+          "the",
+          "brake"
+        ],
+        "domain_keywords":