
JAX weights converted from Torch checkpoint at `facebook/galactica-1.3b`.

```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-1.3b", 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)
{"license": "cc-by-nc-4.0"}
transformers jax opt text-generation license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #jax #opt #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


JAX weights converted from Torch checkpoint at 'facebook/galactica-1.3b'.



and Attribution 

Citation from the original repo is reproduced below as per the cc-by-nc-4.0 licsense.



> Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC)
TAGS
#transformers #jax #opt #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

TAGS
#transformers #jax #opt #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
