update readmes

nshepperd · Nov 5, 2019 · fbae7db · fbae7db
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diff --git a/DEVELOPERS.md b/DEVELOPERS.md
@@ -30,6 +30,7 @@ Download the model data
 python3 download_model.py 124M
 python3 download_model.py 355M
 python3 download_model.py 774M
+python3 download_model.py 1558M
 ```
 
 ## Docker Installation

diff --git a/Dockerfile.cpu b/Dockerfile.cpu
@@ -8,3 +8,4 @@ RUN pip3 install -r requirements.txt
 RUN python3 download_model.py 124M
 RUN python3 download_model.py 355M
 RUN python3 download_model.py 774M
+RUN python3 download_model.py 1558M
diff --git a/Dockerfile.gpu b/Dockerfile.gpu
@@ -17,3 +17,4 @@ RUN pip3 install -r requirements.txt
 RUN python3 download_model.py 124M
 RUN python3 download_model.py 355M
 RUN python3 download_model.py 774M
+RUN python3 download_model.py 1558M
diff --git a/README.md b/README.md
@@ -2,11 +2,11 @@
 
 # gpt-2
 
-Code from the paper ["Language Models are Unsupervised Multitask Learners"](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf).
+Code and models from the paper ["Language Models are Unsupervised Multitask Learners"](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf).
 
-We have currently released small (124M parameter), medium (355M parameter), and large (774M parameter) versions of GPT-2<sup>*</sup>, with only the full model as of yet unreleased.  We have also [released a dataset](https://github.com/openai/gpt-2-output-dataset) for researchers to study their behaviors.
+You can read about GPT-2 and its staged release in our [original blog post](https://blog.openai.com/better-language-models/), [6 month follow-up post](https://openai.com/blog/gpt-2-6-month-follow-up/), and [final post](https://www.openai.com/blog/gpt-2-1-5b-release/).
 
-You can read about GPT-2 and release decisions in our [original blog post](https://blog.openai.com/better-language-models/) and [6 month follow-up post](https://openai.com/blog/gpt-2-6-month-follow-up/).
+We have also [released a dataset](https://github.com/openai/gpt-2-output-dataset) for researchers to study their behaviors.
 
 <sup>*</sup> *Note that our original parameter counts were wrong due to an error (in our previous blog posts and paper).  Thus you may have seen small referred to as 117M and medium referred to as 345M.*