Add model card

README.md

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+---
+language:
+- en
+tags:
+- pytorch
+- causal-lm
+- bitnet
+- layer-skipping
+---
+
+# bitskip1
+
+This is a fine-tuned BitNet model with layer skipping capabilities.
+
+## Model Details
+
+- **Model Type**: BitNet with Layer Skipping
+- **Base Model**: Unknown
+- **Architecture**: Unknown
+
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("USERNAME/MODEL_NAME")
+tokenizer = AutoTokenizer.from_pretrained("USERNAME/MODEL_NAME")
+
+# Generate text
+inputs = tokenizer("Hello, how are you?", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=50)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Training
+
+This model was trained using the LayerSkip framework with BitNet architecture.
+
+## License
+
+[Add your license information here]