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@@ -97,9 +97,11 @@ Note: If you want to use flash attention, call _AutoModelForCausalLM.from_pretra
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  ## Benchmarks
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  |Model|Size (# params)|IFEval|GSM8K|
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  |:----|:--------------|:-----|:----|
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- |rasyosef/Phi-1_5-Instruct-v0.1|1.4B|**26.71**|**41.78**|
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- |HuggingFaceTB/SmolLM-1.7B-Instruct|1.7B|24.21|3.45|
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- |TinyLlama/TinyLlama-1.1B-Chat-v1.0|1.1B|21.23|0|
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- |microsoft/phi-1_5|1.4B|20.51|31.73|
 
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  ## Benchmarks
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+ This model outperforms HuggingFace's SmolLM-1.7B-Instruct and the TinyLlama-1.1B-Chat-v1.0 models on IFEval and GSM8K benchmarks.
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  |Model|Size (# params)|IFEval|GSM8K|
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  |:----|:--------------|:-----|:----|
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+ |[Phi-1_5-Instruct-v0.1](https://huggingface.co/rasyosef/Phi-1_5-Instruct-v0.1)|1.4B|**26.71**|**41.78**|
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+ |[SmolLM-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct)|1.7B|24.21|3.45|
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+ |[TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)|1.1B|21.23|0|
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+ |[phi-1_5](https://huggingface.co/microsoft/phi-1_5)|1.4B|20.51|31.73|