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

(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.

    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},

Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC)

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