Re-upload MLX conversion from google/gemma-4-E4B-it@fee6332c1abaafb77f6f9624236c63aa2f1d0187

README.md

@@ -1,25 +1,25 @@
 ---
 library_name: mlx
-license: apache-2.0
-license_link: https://ai.google.dev/gemma/docs/gemma_4_license
-pipeline_tag: any-to-any
+license: gemma
+base_model: google/gemma-4-E4B-it
 tags:
 - mlx
-base_model: google/gemma-4-e4b-it
+- mlx-vlm
+- gemma4
+- image-text-to-text
 ---
 
 # mlx-community/gemma-4-e4b-it-bf16
 
-This model was converted to MLX format from [`google/gemma-4-e4b-it`](https://huggingface.co/google/gemma-4-e4b-it)
-using mlx-vlm version **0.4.3**.
-Refer to the [original model card](https://huggingface.co/google/gemma-4-e4b-it) for more details on the model.
+MLX conversion of [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) for Apple silicon.
 
-## Use with mlx
+- Source revision: `fee6332c1abaafb77f6f9624236c63aa2f1d0187`
+- Variant: `bf16`
+- Converted with `mlx_vlm.convert` from the local `mlx-vlm` checkout.
 
-```bash
-pip install -U mlx-vlm
-```
+## Usage
 
 ```bash
-python -m mlx_vlm.generate --model mlx-community/gemma-4-e4b-it-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+pip install mlx-vlm
+python -m mlx_vlm.generate --model mlx-community/gemma-4-e4b-it-bf16 --prompt "Describe this image." --image path/to/image.jpg
 ```

config.json

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     "boa_token_id": 256000,
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+    "do_sample": true,
     "dtype": "bfloat16",
     "eoa_token_id": 258883,
     "eoa_token_index": 258883,
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+        "do_sample": true,
+        "eos_token_id": [
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+        "top_k": 64,
+        "top_p": 0.95,
+        "transformers_version": "5.5.0.dev0"
+    },
     "image_token_id": 258880,
     "initializer_range": 0.02,
     "model_type": "gemma4",
+    "temperature": 1.0,
     "text_config": {
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         "attention_dropout": 0.0,
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     },
     "tie_word_embeddings": true,
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+    "top_p": 0.95,
     "transformers_version": "5.5.0.dev0",
     "video_token_id": 258884,
     "vision_config": {

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         "language_model.model.layers.37.post_per_layer_input_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.37.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.37.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.37.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.37.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.37.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.37.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.37.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.input_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.layer_scalar": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
@@ -1313,12 +1271,9 @@
         "language_model.model.layers.38.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.post_per_layer_input_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.38.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.38.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.38.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.38.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.input_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.layer_scalar": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
@@ -1330,12 +1285,9 @@
         "language_model.model.layers.39.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.post_per_layer_input_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.39.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.39.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.39.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.39.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
         "language_model.model.layers.4.layer_scalar": "model-00001-of-00004.safetensors",
         "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
@@ -1364,12 +1316,9 @@
         "language_model.model.layers.40.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.40.post_per_layer_input_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.40.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.40.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.40.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.40.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.40.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.40.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.40.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.41.input_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.41.layer_scalar": "model-00002-of-00004.safetensors",
         "language_model.model.layers.41.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
@@ -1381,12 +1330,9 @@
         "language_model.model.layers.41.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.41.post_per_layer_input_norm.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.41.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.41.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.41.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
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         "language_model.model.layers.41.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-        "language_model.model.layers.41.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
         "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
         "language_model.model.layers.5.layer_scalar": "model-00001-of-00004.safetensors",
         "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",

processor_config.json

@@ -29,6 +29,27 @@
   },
   "image_seq_length": 280,
   "processor_class": "Gemma4Processor",
+  "video_processor": {
+    "default_fps": 2.0,
+    "do_normalize": true,
+    "do_rescale": true,
+    "image_mean": [
+      0.0,
+      0.0,
+      0.0
+    ],
+    "image_std": [
+      1.0,
+      1.0,
+      1.0
+    ],
+    "max_soft_tokens": 70,
+    "num_frames": 32,
+    "patch_size": 16,
+    "pooling_kernel_size": 3,
+    "rescale_factor": 0.00392156862745098,
+    "video_processor_type": "Gemma4VideoProcessor"
+  },
   "feature_extractor": {
     "feature_extractor_type": "Gemma4AudioFeatureExtractor",
     "sampling_rate": 16000,

tokenizer_config.json

@@ -17,50 +17,72 @@
     "<|video|>"
   ],
   "image_token": "<|image|>",
+  "is_local": true,
+  "local_files_only": true,
   "mask_token": "<mask>",
   "model_max_length": 1000000000000000019884624838656,
+  "model_specific_special_tokens": {
+    "audio_token": "<|audio|>",
+    "boa_token": "<|audio>",
+    "boi_token": "<|image>",
+    "eoa_token": "<audio|>",
+    "eoc_token": "<channel|>",
+    "eoi_token": "<image|>",
+    "eot_token": "<turn|>",
+    "escape_token": "<|\"|>",
+    "etc_token": "<tool_call|>",
+    "etd_token": "<tool|>",
+    "etr_token": "<tool_response|>",
+    "image_token": "<|image|>",
+    "soc_token": "<|channel>",
+    "sot_token": "<|turn>",
+    "stc_token": "<|tool_call>",
+    "std_token": "<|tool>",
+    "str_token": "<|tool_response>",
+    "think_token": "<|think|>"
+  },
   "pad_token": "<pad>",
   "padding_side": "left",
   "processor_class": "Gemma4Processor",
   "response_schema": {
-    "type": "object",
     "properties": {
+      "content": {
+        "type": "string"
+      },
       "role": {
         "const": "assistant"
       },
       "thinking": {
         "type": "string"
       },
-      "content": {
-        "type": "string"
-      },
       "tool_calls": {
-        "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>",
-        "type": "array",
         "items": {
-          "type": "object",
           "properties": {
-            "type": {
-              "const": "function"
-            },
             "function": {
-              "type": "object",
-              "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})",
               "properties": {
-                "name": {
-                  "type": "string"
-                },
                 "arguments": {
+                  "additionalProperties": {},
                   "type": "object",
-                  "x-parser": "gemma4-tool-call",
-                  "additionalProperties": {}
+                  "x-parser": "gemma4-tool-call"
+                },
+                "name": {
+                  "type": "string"
                 }
-              }
+              },
+              "type": "object",
+              "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
+            },
+            "type": {
+              "const": "function"
             }
-          }
-        }
+          },
+          "type": "object"
+        },
+        "type": "array",
+        "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
       }
     },
+    "type": "object",
     "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
   },
   "soc_token": "<|channel>",