MicroVLM-V / config.json
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{
"qwen2_5_config": {
"hidden_size": 896,
"num_hidden_layers": 24,
"num_attention_heads": 14,
"num_key_value_heads": 2,
"intermediate_size": 4864,
"vocab_size": 151936,
"max_position_embeddings": 32768,
"rope_theta": 1000000.0,
"rms_norm_eps": 1e-06,
"tie_word_embeddings": true,
"use_sliding_window": false,
"sliding_window": null,
"max_window_layers": 21,
"head_dim": 64,
"kv_head_dim": 128,
"model_type": "qwen2"
},
"deit_tiny_config": {
"image_size": 224,
"patch_size": 16,
"num_channels": 3,
"hidden_size": 192,
"num_hidden_layers": 12,
"num_attention_heads": 3,
"intermediate_size": 768,
"hidden_dropout_prob": 0.0,
"attention_probs_dropout_prob": 0.0,
"layer_norm_eps": 1e-06,
"num_patches": 196,
"encoder_stride": 16
},
"quantization_config": {
"memory_quantization": {
"bits": 1.58,
"method": "bitnet_158",
"description": "1.58-bit quantization for episodic memory and final model"
},
"training_quantization": {
"weight_bits": 4,
"activation_bits": 4,
"method": "symmetric",
"description": "4-bit quantization for weights and activations during training"
},
"inference_quantization": {
"model_bits": 1.58,
"method": "bitnet_158",
"description": "1.58-bit quantization for final deployed model"
}
},
"model_dimensions": {
"qwen_hidden_dim": 896,
"deit_embed_dim": 192,
"vision_hidden_size": 192,
"language_hidden_size": 896,
"num_patches": 196,
"k_prefix": 25,
"adapter_projection_dim": 896,
"alignment_dim": 128,
"memory_size": 64,
"memory_dim": 896,
"memory_target_layers": 6,
"memory_num_heads": 4,
"memory_num_layers": 6,
"head_dim": 64,
"scope_hidden_dim": 256,
"itm_hidden_dim": 256,
"fusion_layers": [
9,
11
],
"num_fusion_heads": 2,
"fusion_dim": 384,
"w_logvar_setting": 1,
"deterministic_memory": false
},
"itc_config": {
"use_itc_queue": true,
"itc_queue_size": 256,
"itc_embed_dim": 128,
"description": "FIBER-style ITC queue for better negative sampling (lightweight version)"
},
"estimated_sizes": {
"qwen_original_mb": 1976,
"deit_original_mb": 22.8,
"qwen_4bit_mb": 247.0,
"deit_4bit_mb": 2.85,
"qwen_158bit_mb": 98.80000000000001,
"adapter_mb": 0.777728,
"memory_original_mb": 0.229376,
"memory_158bit_mb": 0.011468800000000001,
"wm_projection_mb": 11.010048,
"scopenet_mb": 1.180672,
"fusion_mb": 0.009216,
"alignment_mb": 0.557056,
"itm_head_mb": 1.11616,
"overhead_total_mb": 14.880256,
"total_fp32_mb": 2013.6802559999999,
"total_4bit_qwen_mb": 273.28025599999995,
"total_fully_quantized_mb": 116.53025600000001
},
"metadata": {
"qwen_model": "Qwen/Qwen2.5-0.5B",
"deit_model": "facebook/deit-tiny-patch16-224",
"target_total_size_mb": 500,
"description": "MicroVLM-V compact model configuration with 4-bit quantization for <1GB deployment",
"quantization_default": "4-bit Qwen, FP16 DeiT, FP32 overhead"
}
}