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Chuxin-1.6B-1M

Text Generation
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PyTorch
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text-generation-inference
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@@ -54,7 +54,7 @@ print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
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  ### Open LLM LeaderBoard
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  | Model | size | ARC-c |HellaSwag|MMLU |TruthfulQA |Winogrande |GSM-8k |Avg |Avg wo GSM|
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- |:--------------|:----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|
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  | chuxin-1.6B-base | 1.6B | 39.68 | 66.09 | 41.07 | 37.65 | 63.54 | 12.66 | 43.45 |49.61|
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  | chuxin-1.6B-32k | 1.6B | 39.16 | 65.69 | 38.63 | 35.66 | 62.51 | 11.6 | 42.21 | 48.33|
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  | chuxin-1.6B-64k | 1.6B | 38.48 | 65.6 | 38.43 | 35.07 | 63.3 | 11.9 | 42.13|48.18|
 
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  ### Open LLM LeaderBoard
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  | Model | size | ARC-c |HellaSwag|MMLU |TruthfulQA |Winogrande |GSM-8k |Avg |Avg wo GSM|
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+ |:--------------|:----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|
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  | chuxin-1.6B-base | 1.6B | 39.68 | 66.09 | 41.07 | 37.65 | 63.54 | 12.66 | 43.45 |49.61|
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  | chuxin-1.6B-32k | 1.6B | 39.16 | 65.69 | 38.63 | 35.66 | 62.51 | 11.6 | 42.21 | 48.33|
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  | chuxin-1.6B-64k | 1.6B | 38.48 | 65.6 | 38.43 | 35.07 | 63.3 | 11.9 | 42.13|48.18|