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README.md

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+---
+tags:
+- babylm
+- language-model
+- coherence
+license: mit
+---
+
+# babybabellm-multismall
+
+This repository contains checkpoints for the **multismall** variant of **BabyBabeLLM**.
+
+## Files
+- `*_15_16.bin` – main model weights  
+- `*_15_16_ema.bin` – EMA smoothed weights  
+- `*_15_16_state_dict.bin` – PyTorch state dict  
+- `pytorch_model.bin` – extracted EMA weights (for AutoModel)  
+- Config + tokenizer files for model loading (zipped in shared_files.zip)  
+
+## Usage
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+repo = "suchirsalhan/babybabellm-multismall"
+
+tokenizer = AutoTokenizer.from_pretrained(repo)
+model = AutoModel.from_pretrained(repo)
+
+inputs = tokenizer("Hello world!", return_tensors="pt")
+outputs = model(**inputs)
+```
+
+## Notes
+- These are research checkpoints trained on BabyLM-style data.
+- Model naming: `multismall` indicates the language/config variant.
+
+# To unzip shared files
+# unzip shared_files.zip -d .