Create config.json

config.json

@@ -0,0 +1,42 @@
+{
+  "model_type": "llama",
+  "architectures": ["MultimodalLFM2Model"],
+  
+  "_name_or_path": "GoofyLM/N2-Eye-v1-1.3B",
+  "auto_map": {
+    "AutoModelForCausalLM": "modeling_n2_eye.MultimodalLFM2Model",
+    "AutoConfig": "modeling_n2_eye.MultimodalLFM2Config"
+  },
+  
+  "lfm2_model_name": "LiquidAI/LFM2-1.2B",
+  "clip_model_name": "openai/clip-vit-base-patch32",
+  "vision_projection_dim": 512,
+  
+  "language_model_config": {
+    "model_type": "lfm2",
+    "hidden_size": 1536,
+    "vocab_size": 50257,
+    "max_position_embeddings": 2048
+  },
+  
+  "vision_encoder_config": {
+    "model_type": "clip_vision_model",
+    "hidden_size": 768
+  },
+  
+  "projection_config": {
+    "vision_hidden_size": 768,
+    "vision_projection_dim": 512,
+    "language_hidden_size": 1536,
+    "dropout": 0.1
+  },
+  
+  "image_token": "<image>",
+  "max_length": 2048,
+  
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.0",
+  "use_cache": true,
+  
+  "chat_template": "{% set system_message = 'You are a helpful assistant trained by Liquid AI. You can see and understand images.' %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}<|im_start|>system\n{{ system_message }}<|im_end|>\n<image>\n{% for message in loop_messages %}<|im_start|>{{ message['role'] }}\n{{ message['content'] }}<|im_end|>\n{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}