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README.md

@@ -1,3 +1,35 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+inference: false 
+base_model: microsoft/Phi-3-vision-128k-instruct
+base_model_relation: quantized 
+tags: [green, llmware-vision, p3, onnx, emerald]
+---
+
+# phi-3-vision-onnx
+
+**phi-3-vision-onnx** is an ONNX int4 quantized version of [microsoft/Phi-3-vision-128k-instruct](https://www.huggingface.co/Qwen/microsoft/Phi-3-vision-128k-instruct), providing an inference implementation, optimized for AI PCs.    
+
+This is a vision-to-text model from the Phi3 release series and is a very high-quality innovative small model that accepts multi-modal inputs (image/video, text).
+
+
+### Model Description
+
+- **Developed by:** microsoft
+- **Quantized by:** microsoft
+- **Model type:** phi-3-vision
+- **Parameters:** 3.8 billion  
+- **Model Parent:**   microsoft/Phi-3-vision-128k-instruct
+- **Language(s) (NLP):** English  
+- **License:** Apache 2.0  
+- **Uses:** Multimodal LLM    
+- **Quantization:** int4  
+
+
+## Model Card Contact  
+
+[llmware on github](https://www.github.com/llmware-ai/llmware) 
+
+[llmware on hf](https://www.huggingface.co/llmware)  
+
+[llmware website](https://www.llmware.ai)  

config.json

@@ -0,0 +1,148 @@
+{
+  "_name_or_path": "Phi-3-vision-128k-instruct",
+  "architectures": [
+    "Phi3VForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_phi3_v.Phi3VConfig",
+    "AutoModelForCausalLM": "modeling_phi3_v.Phi3VForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_layer": {
+    "embedding_cls": "image",
+    "hd_transform_order": "sub_glb",
+    "projection_cls": "mlp",
+    "use_hd_transform": true,
+    "with_learnable_separator": true
+  },
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "img_processor": {
+    "image_dim_out": 1024,
+    "model_name": "openai/clip-vit-large-patch14-336",
+    "name": "clip_vision_model",
+    "num_img_tokens": 144
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3_v",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 32064,
+  "_attn_implementation": "flash_attention_2"
+}