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Zamba2-2.7B-instruct

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BerenMillidge commited on Sep 19

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@@ -54,11 +54,11 @@ Zamba2-2.7B-Instruct punches dramatically above its weight, achieving extremely
 | Model | Size | MT-Bench | IFEval |
 |-------------|----|----|----|
-| **Zamba2-2.6B-Instruct** | 2.6B | **72.40** | **53.96** |
 | Mistral-7B-Instruct | 7B | 66.4 | 45.3 |
-| Gemma2-2B-Instruct | 2.7B | 51.69 | 48.8 |
-| H2O-Danube-4B-Chat | 4B | 52.57 | 45.44 |
-| StableLM-Zephyr-3B | 3B | 66.43 | 36.83 |
 Moreover, due to its unique hybrid SSM architecture, Zamba2-2.7B-Instruct achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer based models.

 | Model | Size | MT-Bench | IFEval |
 |-------------|----|----|----|
+| **Zamba2-2.6B-Instruct** | 2.6B | **72.40** | **48.02** |
 | Mistral-7B-Instruct | 7B | 66.4 | 45.3 |
+| Gemma2-2B-Instruct | 2.7B | 51.69 | 42.20 |
+| H2O-Danube-4B-Chat | 4B | 52.57 | 37.96 |
+| StableLM-Zephyr-3B | 3B | 66.43 | 38.27 |
 Moreover, due to its unique hybrid SSM architecture, Zamba2-2.7B-Instruct achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer based models.