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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+plugin.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,32 @@
----
-license: apache-2.0
----
+# 🎼 Aurora Melody Model
+
+**AI-powered melody generation with VST plugin integration**
+
+![Aurora Plugin Interface](plugin.png)
+
+## 📁 Files Included
+
+- `melody_model.safetensors` - Pre-trained melody generation model
+- `melody_model_config.json` - Model configuration and hyperparameters
+- `alv_tokenizer-2.0.1-py3-none-any.whl` - MIDI tokenization package
+
+## 📊 Model Specifications
+
+- **Architecture**: Transformer-based melody generation
+- **Vocabulary Size**: 45,093 tokens
+- **Model Dimensions**: 1,280 embedding size, 20 attention heads
+- **Layers**: 24 transformer layers
+- **Max Sequence Length**: 300 tokens
+- **Format**: SafeTensors
+
+## 🔗 Backend Integration
+
+For complete backend implementation and VST plugin integration, see:
+**https://github.com/WebChatAppAi/Aurora-Labs**
+
+The backend repository contains:
+- Model inference engine
+- VST plugin bridge
+- FastAPI server
+- DAW integration
+- Real-time generation capabilities

melody_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fcaf6ce35c131533c2ec4744918ceb28a482b5033b9b9d3f5c4a11967d0fc724
+size 2352365368

melody_model_config.json

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+{
+  "vocab_size": 45093,
+  "d_model": 1280,
+  "n_heads": 20,
+  "n_layers": 24,
+  "d_ff": 5120,
+  "max_seq_len": 300,
+  "dropout": 0.1,
+  "learning_rate": 0.0002,
+  "weight_decay": 0.01,
+  "warmup_steps": 1000,
+  "gradient_clip_val": 1.0,
+  "bos_token": 0,
+  "eos_token": 1,
+  "pad_token": 2,
+  "val_loss": 2.6841174858372385
+}