update model

architectures/incoder.txt

@@ -2,10 +2,13 @@
 
 |Model | # parameters |
 |   -   |   -  | 
+| Decoder |1.3B |
 | Decoder |6.7B |
 
 
 [Causal Masking objective](https://arxiv.org/abs/2201.07520) is a hybrid approach of Causal and Masked language models, "it combines the benefit of per-token generation with optional bi-directionality specifically tailored to prompting".
-During the training of InCoder, spans of code were randomly masked and moved to the end of each file, which allows for bidirectional context. Figure 1 below illustrates the training process.
+During the training of InCoder, spans of code were randomly masked and moved to the end of each file, which allows for bidirectional context. Figure 1 illustrates the training process.
 
-So in addition to program synthesis (via left-to-right generation), InCoder can also perform editing (via infilling). The model gives promising results in some zero-shot code infilling tasks such as type prediction, variable re-naming and comment generation.
+So in addition to program synthesis (via left-to-right generation), InCoder can also perform editing (via infilling). The model gives promising results in some zero-shot code infilling tasks such as type prediction, variable re-naming and comment generation.
+
+In the code generation demo we use InCoder 1.3B.