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yi-34b-w4a16g32

Text Generation
Transformers
Safetensors
English
Chinese
llama
text-generation-inference
Inference Endpoints
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@@ -9,37 +9,39 @@ Please refer to our [Github page](https://github.com/GreenBitAI/low_bit_llama) f
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  ## Model Description
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  - **Developed by:** [GreenBitAI](https://github.com/GreenBitAI)
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- - **Model type:** Causal (Llama 2/Yi 34B)
 
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  - **Language(s) (NLP):** English
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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0), [Llama 2 license agreement](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
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- | Model | Yi-34B | | | Yi-6B | | |
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- | --- | --- | --- | --- | --- | --- | --- |
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- | Bit | 16 | 4 | 2 | 16 | 4 | 2 |
 
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  | GroupSize | - | 32 | 8 | - | 32 | 8 |
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- | Model Size (GB) | 68.79 | 19.89 | 15.508 | 12.12 | 4.04 | 3.32 |
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- | AVG | 70.64 | 69.7 | 65.78 | 60.11 | 59.14 | 53.69 |
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  | Detailed Evaluation | | | | | | |
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- | MMLU | 76.32 | 75.42 | 72 | 63.24 | 62.09 | 58.57 |
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- | CMMLU | 83.65 | 83.07 | 78.26 | 75.53 | 72.85 | 64.83 |
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- | ARC-e | 84.42 | 84.13 | 81.35 | 77.23 | 76.52 | 73.15 |
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- | ARC-c | 61.77 | 59.56 | 57 | 50.34 | 48.47 | 42.58 |
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- | GAOKAO | 82.8 | 81.37 | 77.9 | 72.2 | 72.87 | 64.67 |
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- | GSM8K | 67.24 | 63.61 | 50.1895 | 32.52 | 28.05 | 16.98 |
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- | HumanEval | 25.6 | 25 | 18.9024 | 15.85 | 15.85 | 12.19 |
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- | BBH | 54.3 | 52.3 | 49.0401 | 42.8 | 41.47 | 38.12 |
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- | WinoGrande | 78.68 | 78.53 | 77.98 | 70.63 | 71.19 | 67.96 |
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- | PIQA | 82.86 | 82.75 | 81.72 | 78.56 | 79.05 | 76.55 |
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- | SIQA | 74.46 | 73.44 | 71.6 | 64.53 | 64.53 | 57 |
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- | HellaSwag | 83.64 | 83.02 | 80.7 | 74.91 | 73.27 | 69.07 |
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- | OBQA | 91.6 | 90.8 | 84 | 85.4 | 82.6 | 79.4 |
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- | CSQA | 83.37 | 83.05 | 81.5725 | 76.9 | 75.43 | 69.53 |
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- | TriviaQA | 81.52 | 80.73 | 75.8163 | 64.85 | 61.75 | 50.5 |
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- | SquAD | 92.46 | 91.12 | 89.3624 | 88.95 | 88.39 | 84.22 |
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- | BoolQ | 88.25 | 88.17 | 80.74 | 76.23 | 77.1 | 75.5 |
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- | MBPP | 41 | 39.68 | 31.4815 | 26.32 | 25.13 | 16 |
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- | QUAC | 48.61 | 47.43 | 46.5406 | 40.92 | 40.16 | 37.83 |
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- | Lambda | 73.18 | 73.39 | 72.83 | 67.74 | 67.8 | 61.8 |
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- | NaturalQuestion | 27.67 | 27.21 | 22.4994 | 16.69 | 17.42 | 11.05|
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  ## Model Description
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  - **Developed by:** [GreenBitAI](https://github.com/GreenBitAI)
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+ - **Evaluated By:** 01-Yi official
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+ - **Model type:** Causal (Llama 2/Yi 6B)
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  - **Language(s) (NLP):** English
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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0), [Llama 2 license agreement](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
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+ ## Few Shot Evaluation
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+ | Model | Yi-34B | | Yi-6B | |
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+ | --- | --- | --- | --- | --- |
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+ | Bit | 16 | 4 | 16 | 4 |
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  | GroupSize | - | 32 | 8 | - | 32 | 8 |
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+ | Model Size (GB) | 68.79 | 19.89 | 12.12 | 4.04 |
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+ | AVG | 70.64 | 69.7 | 60.11 | 59.14 |
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  | Detailed Evaluation | | | | | | |
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+ | MMLU | 76.32 | 75.42 | 63.24 | 62.09 |
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+ | CMMLU | 83.65 | 83.07 | 75.53 | 72.85 |
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+ | ARC-e | 84.42 | 84.13 | 77.23 | 76.52 |
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+ | ARC-c | 61.77 | 59.56 | 50.34 | 48.47 |
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+ | GAOKAO | 82.8 | 81.37 | 72.2 | 72.87 |
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+ | GSM8K | 67.24 | 63.61 | 32.52 | 28.05 |
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+ | HumanEval | 25.6 | 25 | 15.85 | 15.85 |
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+ | BBH | 54.3 | 52.3 | 42.8 | 41.47 |
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+ | WinoGrande | 78.68 | 78.53 | 70.63 | 71.19 |
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+ | PIQA | 82.86 | 82.75 | 78.56 | 79.05 |
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+ | SIQA | 74.46 | 73.44 | 64.53 | 64.53 |
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+ | HellaSwag | 83.64 | 83.02 | 74.91 | 73.27 |
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+ | OBQA | 91.6 | 90.8 | 85.4 | 82.6 |
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+ | CSQA | 83.37 | 83.05 | 76.9 | 75.43 |
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+ | TriviaQA | 81.52 | 80.73 | 64.85 | 61.75 |
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+ | SquAD | 92.46 | 91.12 | 88.95 | 88.39 |
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+ | BoolQ | 88.25 | 88.17 | 76.23 | 77.1 |
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+ | MBPP | 41 | 39.68 | 26.32 | 25.13 |
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+ | QUAC | 48.61 | 47.43 | 40.92 | 40.16 |
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+ | Lambda | 73.18 | 73.39 | 67.74 | 67.8 |
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+ | NaturalQuestion | 27.67 | 27.21 | 16.69 | 17.42 |
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