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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
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README.md

@@ -0,0 +1,55 @@
+---
+inference: false
+library_name: transformers
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ja
+- ko
+- zh
+- ar
+- el
+- fa
+- pl
+- id
+- cs
+- he
+- hi
+- nl
+- ro
+- ru
+- tr
+- uk
+- vi
+license: cc-by-nc-4.0
+extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
+  acknowledge that the information you provide will be collected, used, and shared
+  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
+  receive email updates about C4AI and Cohere research, events, products and services.
+  You can unsubscribe at any time.
+extra_gated_fields:
+  Name: text
+  Affiliation: text
+  Country: country
+  I agree to use this model for non-commercial use ONLY: checkbox
+pipeline_tag: image-text-to-text
+tags:
+- mlx
+---
+
+# mlx-community/aya-vision-32b-4bit
+This model was converted to MLX format from [`CohereForAI/aya-vision-32b`]() using mlx-vlm version **0.1.15**.
+Refer to the [original model card](https://huggingface.co/CohereForAI/aya-vision-32b) for more details on the model.
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model mlx-community/aya-vision-32b-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+```

config.json

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+{
+    "adapter_layer_norm_eps": 1e-06,
+    "alignment_activation_fn": "swiglu",
+    "alignment_intermediate_size": 49152,
+    "architectures": [
+        "AyaVisionForConditionalGeneration"
+    ],
+    "downsample_factor": 2,
+    "image_token_index": 255022,
+    "max_splits_per_img": 12,
+    "model_type": "aya_vision",
+    "projector_hidden_act": "gelu",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "text_config": {
+        "intermediate_size": 24576,
+        "model_type": "cohere",
+        "num_key_value_heads": 8,
+        "rope_theta": 4000000,
+        "torch_dtype": "float16",
+        "use_qk_norm": false
+    },
+    "torch_dtype": "float16",
+    "transformers_version": "4.50.0.dev0",
+    "vision_config": {
+        "hidden_size": 1152,
+        "image_size": 364,
+        "intermediate_size": 4304,
+        "model_type": "siglip_vision_model",
+        "num_attention_heads": 16,
+        "num_hidden_layers": 27,
+        "patch_size": 14,
+        "torch_dtype": "float16",
+        "vision_use_head": false,
+        "skip_vision": true
+    },
+    "vision_feature_layer": -1,
+    "vision_feature_select_strategy": "full"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "chat_template": [
+    {
+      "name": "default",
+      "template": "{{ bos_token }}<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are Aya Vision, a brilliant, sophisticated, AI-assistant chatbot trained to assist human users by providing thorough responses. You are a large vision language model built by the Cohere For AI. You are capable of interpreting images, including describing them, answering questions about their contents, extracting textual information, and analyzing visual context.<|END_OF_TURN_TOKEN|>\n{%- for message in messages -%}\n    <|START_OF_TURN_TOKEN|>{{ message.role | replace(\"user\", \"<|USER_TOKEN|>\") | replace(\"assistant\", \"<|CHATBOT_TOKEN|><|START_RESPONSE|>\") | replace(\"system\", \"<|SYSTEM_TOKEN|>\") }}\n    {%- if message.content is defined -%}\n        {%- if message.content is string -%}\n{{ message.content }}\n        {%- else -%}\n            {%- for item in message.content | selectattr('type', 'equalto', 'image') -%}\n<image>\n            {%- endfor -%}\n            {%- for item in message.content | selectattr('type', 'equalto', 'text') -%}\n{{ item.text }}\n            {%- endfor -%}\n        {%- endif -%}\n    {%- elif message.message is defined -%}\n        {%- if message.message is string -%}\n{{ message.message }}\n        {%- else -%}\n            {%- for item in message.message | selectattr('type', 'equalto', 'image') -%}\n<image>\n            {%- endfor -%}\n            {%- for item in message.message | selectattr('type', 'equalto', 'text') -%}\n{{ item.text }}\n            {%- endfor -%}\n        {%- endif -%}\n    {%- endif -%}\n    {%- if message.role == \"assistant\" -%}\n<|END_RESPONSE|>\n    {%- endif -%}\n<|END_OF_TURN_TOKEN|>\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>\n{%- endif -%}\n"
+    }
+  ],
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+  "tokenizer_class": "CohereTokenizer",
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+  "use_default_system_prompt": false,
+  "vocab_file": null
+}