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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 +1,26 @@
+---
+license: other
+license_name: qwen
+license_link: https://huggingface.co/Qwen/QVQ-72B-Preview/blob/main/LICENSE
+language:
+- en
+pipeline_tag: image-text-to-text
+base_model: Qwen/Qwen2-VL-72B
+tags:
+- chat
+- mlx
+library_name: transformers
+---
+
+# mlx-community/QVQ-72B-Preview-3bit
+This model was converted to MLX format from [`Qwen/QVQ-72B-Preview`]() using mlx-vlm version **0.1.6**.
+Refer to the [original model card](https://huggingface.co/Qwen/QVQ-72B-Preview) for more details on the model.
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model mlx-community/QVQ-72B-Preview-3bit --max-tokens 100 --temp 0.0
+```

added_tokens.json

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+}

chat_template.json

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+{
+  "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 and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.<|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 %}"
+}

config.json

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+{
+    "architectures": [
+        "Qwen2VLForConditionalGeneration"
+    ],
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+    "bos_token_id": 151643,
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "image_token_id": 151655,
+    "initializer_range": 0.02,
+    "intermediate_size": 29568,
+    "max_position_embeddings": 128000,
+    "max_window_layers": 80,
+    "model_type": "qwen2_vl",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 8,
+    "quantization": {
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+        "bits": 3
+    },
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
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+    "torch_dtype": "bfloat16",
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+    "vision_config": {
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+        "embed_dim": 1280,
+        "mlp_ratio": 4,
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+        "in_chans": 3,
+        "hidden_size": 8192,
+        "patch_size": 14,
+        "spatial_merge_size": 2,
+        "spatial_patch_size": 14,
+        "temporal_patch_size": 2,
+        "skip_vision_non_divisible": true
+    },
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+    "vision_start_token_id": 151652,
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+    "vocab_size": 152064
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preprocessor_config.json

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+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
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+  "max_pixels": 12845056,
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+}

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+}