bigscience
/

bloom-3b

Text Generation

Eval Results (legacy)

text-generation-inference

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by ybelkada - opened May 30, 2022

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@@ -122,11 +122,11 @@ Please see [the BLOOM training README](https://github.com/bigscience-workshop/bi
 * ALiBI positional encodings (see [paper](https://arxiv.org/pdf/2108.12409.pdf)), with GeLU activation functions
-* 176 billion parameters:
-    * 70 layers, 112 attention heads
-    * Hidden layers are 14336-dimensional
     * Sequence length of 2048 tokens used (see [BLOOM tokenizer](https://huggingface.co/bigscience/tokenizer), [tokenizer description](#tokenization))

 * ALiBI positional encodings (see [paper](https://arxiv.org/pdf/2108.12409.pdf)), with GeLU activation functions
+* 2.5 billion parameters:
+    * 30 layers, 32 attention heads
+    * Hidden layers are 2560-dimensional
     * Sequence length of 2048 tokens used (see [BLOOM tokenizer](https://huggingface.co/bigscience/tokenizer), [tokenizer description](#tokenization))