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@@ -52,13 +52,13 @@ Zamba2-2.7B-Instruct punches dramatically above its weight, achieving extremely
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64e40335c0edca443ef8af3e/wXFMLXZA2-xz2PDyUMwTI.png" width="600"/>
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| Model
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| **Zamba2-2.7B-Instruct**
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| Mistral-7B-Instruct
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| Gemma2-2B-Instruct
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| H2O-Danube-4B-Chat
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| StableLM-Zephyr-3B
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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.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64e40335c0edca443ef8af3e/wXFMLXZA2-xz2PDyUMwTI.png" width="600"/>
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| Model | Size | MT-Bench | IFEval |
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|---------------------------|-----:|---------:|---------:|
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| **Zamba2-2.7B-Instruct** | 2.7B | **72.40**| **48.02**|
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| Mistral-7B-Instruct | 7B| 66.4 | 45.3 |
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| Gemma2-2B-Instruct | 2.7B | 51.69 | 42.20 |
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| H2O-Danube-4B-Chat | 4B| 52.57 | 37.96 |
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| StableLM-Zephyr-3B | 3B| 66.43 | 38.27 |
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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.
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