Upload README.md - Upload Mac M3 GRPO model

README.md

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+# Mac M3 GRPO Model
+
+Pure PyTorch implementation of GRPO (Generative Reinforcement Learning with Preference Optimization) for Mac M3.
+
+## Model Details
+- **Model Type**: GRPO (DreamerV3-inspired)
+- **Framework**: PyTorch
+- **Vocabulary Size**: 102
+- **Embedding Dimension**: 64
+- **Latent Dimension**: 32
+- **Compatible With**: Mac M3, MPS acceleration
+
+## Usage
+
+```python
+import torch
+from examples.mac_m3_grpo import WorldModel, PolicyNetwork
+
+# Initialize the model
+world_model = WorldModel(
+    vocab_size=102,
+    embed_dim=64,
+    latent_dim=32
+)
+
+# Load the weights
+world_model.load_state_dict(torch.load("world_model.pt"))
+
+# Create policy
+policy = PolicyNetwork(world_model)
+
+# Generate text
+# [Your generation code here]
+```
+
+## Training Details
+This model was trained using reinforcement learning with preference optimization, 
+similar to the approach used in DreamerV3 but adapted for text generation.