Added model card.

README.md

@@ -1,3 +1,29 @@
 ---
-license: cc-by-4.0
+license: cc-by-nc-4.0
 ---
+
+JAX weights converted from Torch checkpoint at `facebook/galactica-6.7b`.
+
+```python
+(env) ubuntu@vm:~$ JAX_PLATFORM_NAME=cpu python3
+>>> import jax
+>>> print(jax.devices())   
+[CpuDevice(id=0)]  # Ensure that model weights are loaded into CPU RAM, not accelerator memory.
+>>> from transformers import FlaxOPTForCausalLM
+>>> model = FlaxOPTForCausalLM.from_pretrained("facebook/galactica-6.7b", from_pt=True)
+>>> model.push_to_hub(hf_model_repo)
+```
+
+## Citation and Attribution 
+
+Citation from the original repo is reproduced below as per the cc-by-nc-4.0 licsense.
+
+```bibtex
+@inproceedings{GALACTICA,
+    title={GALACTICA: A Large Language Model for Science},
+    author={Ross Taylor and Marcin Kardas and Guillem Cucurull and Thomas Scialom and Anthony Hartshorn and Elvis Saravia and Andrew Poulton and Viktor Kerkez and Robert Stojnic},
+    year={2022}
+}
+```
+
+> Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC)