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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

README.md

@@ -0,0 +1,25 @@
+---
+library_name: transformers
+license: gemma
+pipeline_tag: image-text-to-text
+extra_gated_heading: Access PaliGemma on Hugging Face
+extra_gated_prompt: To access PaliGemma on Hugging Face, you’re required to review
+  and agree to Google’s usage license. To do this, please ensure you’re logged-in
+  to Hugging Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+tags:
+- mlx
+---
+
+# smdesai/paligemma2-3b-pt-448-4bit
+This model was converted to MLX format from [`google/paligemma2-3b-pt-448`]() using mlx-vlm version **0.1.9**.
+Refer to the [original model card](https://huggingface.co/google/paligemma2-3b-pt-448) for more details on the model.
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model smdesai/paligemma2-3b-pt-448-4bit --max-tokens 100 --temp 0.0
+```

config.json

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+{
+    "_attn_implementation_autoset": false,
+    "_vocab_size": 257152,
+    "add_cross_attention": false,
+    "architectures": [
+        "PaliGemmaForConditionalGeneration"
+    ],
+    "bad_words_ids": null,
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+    "diversity_penalty": 0.0,
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+    "early_stopping": false,
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+    "forced_bos_token_id": null,
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+    "hidden_size": 2048,
+    "id2label": {
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+        "1": "LABEL_1"
+    },
+    "image_token_index": 257152,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+        "LABEL_1": 1
+    },
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "paligemma",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 26,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "prefix": null,
+    "problem_type": null,
+    "projection_dim": 2304,
+    "pruned_heads": {},
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
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+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "text_config": {
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+        "output_hidden_states": false,
+        "output_attentions": false,
+        "torchscript": false,
+        "torch_dtype": "bfloat16",
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+        "architectures": [
+            "Gemma2ForCausalLM"
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+        "_attn_implementation_autoset": false,
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+        "vocab_size": 257216,
+        "max_position_embeddings": 8192,
+        "hidden_size": 2304,
+        "intermediate_size": 9216,
+        "num_hidden_layers": 26,
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+        "head_dim": 256,
+        "num_key_value_heads": 4,
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+        "rms_norm_eps": 1e-06,
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+    "vision_config": {
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+        "hidden_act": "gelu_pytorch_tanh"
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+}

model.safetensors

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preprocessor_config.json

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+  "do_resize": true,
+  "image_mean": [
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+  "image_seq_length": 1024,
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+}

special_tokens_map.json

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+{
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tokenizer.json

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