How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="jacob122e/sn38-2018-model-2")
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("jacob122e/sn38-2018-model-2", device_map="auto")
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sn38-2018-model-2

Private SN38 cutoff-2018 submission checkpoint (candidate 2).

Architecture sn38-nanochrono
Cutoff year 2018
Origin sn38-emily2017-p2018-qft

Repo is private until 1 hour after SN38 submissions close (Monday 12:00 UTC), then must be switched public.

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Safetensors
Model size
2B params
Tensor type
BF16
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