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@@ -334,12 +334,12 @@ The MERA benchmark presents the results of solving more than 20 tasks for questi
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  | 13 |[ruadapt llama3-8B-instruct lep ft](https://mera.a-ai.ru/ru/submits/11734) | 8.4B | 0.483 / 0.334 |
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  | 14 | [GigaChat Max](https://mera.a-ai.ru/en/submits/11905) | - | 0.486 / 0.322 |
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  | ... | ... | ... | ... |
 
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  | **22** | [**Meno-Tiny-0.1**](https://mera.a-ai.ru/en/submits/12543) |**1.5B**| **0.399 / 0.29**|
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  | 23 | [Yi-1.5-34B-Chat](https://mera.a-ai.ru/ru/submits/11286) | 34.4B | 0.416 / 0.266 |
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  | ... | ... | ... | ... |
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  | 25 | [Qwen2.5-3B-Instruct](https://mera.a-ai.ru/ru/submits/12048) | 3.0B | 0.391 / 0.263 |
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  | 26 | [GigaChat](https://mera.a-ai.ru/ru/submits/11986) | - | 0.367 / 0.250 |
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- | 27 |[ruadapt_qwen2.5_3B_ext_u48_instruct_v4](https://mera.a-ai.ru/ru/submits/11852) | 3.0B | 0.368 / 0.23 |
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  | ... | ... | ... | ... |
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  | 59 | [Qwen2.5-Math-7B-Instruct](https://mera.a-ai.ru/ru/submits/12102) | 7.0B | 0.003 / 0.000 |
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  | 13 |[ruadapt llama3-8B-instruct lep ft](https://mera.a-ai.ru/ru/submits/11734) | 8.4B | 0.483 / 0.334 |
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  | 14 | [GigaChat Max](https://mera.a-ai.ru/en/submits/11905) | - | 0.486 / 0.322 |
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  | ... | ... | ... | ... |
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+ | 21 | [Qwen2.5-Coder-7B-Instruct](https://mera.a-ai.ru/ru/submits/12080) | 7.0B | 0.399 / 0.302 |
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  | **22** | [**Meno-Tiny-0.1**](https://mera.a-ai.ru/en/submits/12543) |**1.5B**| **0.399 / 0.29**|
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  | 23 | [Yi-1.5-34B-Chat](https://mera.a-ai.ru/ru/submits/11286) | 34.4B | 0.416 / 0.266 |
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  | ... | ... | ... | ... |
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  | 25 | [Qwen2.5-3B-Instruct](https://mera.a-ai.ru/ru/submits/12048) | 3.0B | 0.391 / 0.263 |
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  | 26 | [GigaChat](https://mera.a-ai.ru/ru/submits/11986) | - | 0.367 / 0.250 |
 
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  | ... | ... | ... | ... |
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  | 59 | [Qwen2.5-Math-7B-Instruct](https://mera.a-ai.ru/ru/submits/12102) | 7.0B | 0.003 / 0.000 |
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