metadata
language: en
license: mit
tags:
- causal-lm
datasets:
- The_Pile
Quantized EleutherAI/gpt-neo-2.7B with 8-bit weights
This is a version of EleutherAI's GPT-Neo with 2.7 billion parameters that is modified so you can generate and fine-tune the model in colab or equivalent desktop gpu (e.g. single 1080Ti). Inspired by GPT-J 8bit.
Here's how to run it:
Model Description
GPT-Neo 2.7B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 2.7B represents the number of parameters of this particular pre-trained model.