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README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-generation
 # EVA: Evolutionary Versatile Architect
 
 EVA is a generative foundation model for universal RNA modeling and design, 
-trained on **RNAVerse v1** — a curated atlas of **114 million full-length RNA 
+trained on **OpenRNA v1** — a curated atlas of **114 million full-length RNA 
 sequences** spanning all domains of life.
 
 ## Model Description
@@ -24,12 +24,17 @@ sequences** spanning all domains of life.
 | Property | Details |
 |----------|---------|
 | Architecture | Decoder-only Transformer + Mixture-of-Experts (MoE) |
-| Parameters | 1.4B (also available: 21M, 167M, 470M) |
+| Parameters | 1.4B (also available: 21M, 145M, 437M) |
 | Context Window | 8,192 tokens |
-| Training Data | 114M full-length RNA sequences (RNAVerse v1) |
-| Training Objectives | Causal LM (CLM) + Generalized LM (GLM), 2:1 ratio |
+| Training Data | 114M full-length RNA sequences (OpenRNA v1) |
+| Training Objectives | Causal LM (CLM) + Generalized LM (GLM) |
 | Conditioning | RNA type tags + taxonomic lineage tags |
 
+> **Model Variants**  
+> - `EVA_21M`, `EVA_145M`, `EVA_437M`: trained with both CLM and GLM objectives, supporting both generation modes.  
+> - `EVA_1.4B_GLM`: the primary 1.4B model, trained with both CLM and GLM objectives.  
+> - `EVA_1.4B_CLM`: an additional 1.4B checkpoint trained exclusively with the CLM objective.
+
 For instructions, details, and examples, please refer to our 
 [technical report](https://arxiv.org/abs/XXXX.XXXXX) and 
 [GitHub repository](https://github.com/kevinhyj/EVA1).