Results from neuronxcc-2.28.7631.0+8f7b0cf5

README.md

@@ -84,7 +84,9 @@ cosine distance to it at most twice the bf16 CPU run's.
 
 The models are the top `text-generation` and `image-text-to-text` models on
 the Hub by downloads and trending, reselected before each sweep: the 100
-best-ranked form the selection. The sweep's list continues with the models of
+best-ranked form the selection. The selection presents the original models:
+it leaves out the fine-tunes and repackages of other orgs' models, and keeps
+the best-ranked repo of each name. The sweep's list continues with the models of
 these tasks, of `translation` and `summarization`, encoder-decoder models
 included, of the text encoder tasks (`fill-mask`, `token-classification`,
 `text-classification`, `question-answering`, `zero-shot-classification`,
@@ -93,7 +95,8 @@ included, of the text encoder tasks (`fill-mask`, `token-classification`,
 (`image-classification`, `zero-shot-image-classification` and
 `image-feature-extraction`), down to rank
 1000 among the Hub's transformers models of their task, by downloads or
-trending. Each sweep goes down the list in order until it has
+trending, forks and every repo of a name included. Each sweep goes down the
+list in order until it has
 run 100 models, skipping those whose test script has not changed since their
 last run. Quantized checkpoints and models that need `trust_remote_code` are
 left out. A model that leaves the list keeps the results it already has.