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@@ -96,12 +96,15 @@ print(res[0]['generated_text'][1])
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  ### Results on ru-llm-arena: 20.3 (local measurement)
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- | **Model** | **Score** | **95% CI** | **Avg Tokens** |
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- | ------------------------------------------- | --------- | --------------- | -------------- |
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- | **Cotype-Nano-4bit** | **21.6** | **+2.1 / -1.8** | **587** |
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- | storm-7b | 20.62 | +2.0 / -1.6 | 419.32 |
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- | neural-chat-7b-v3-3 | 19.04 | +2.0 / -1.7 | 927.21 |
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- | Vikhrmodels-Vikhr-Llama-3.2-1B-instruct | 19.04 | +1.3 / -1.6 | 958.63 |
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- | gigachat_lite | 17.2 | +1.4 / -1.4 | 276.81 |
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- | Vikhrmodels-vikhr-qwen-1.5b-it | 13.19 | +1.4 / -1.6 | 2495.38 |
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- | meta-llama-Llama-3.2-1B-Instruct | 4.04 | +0.8 / -0.6 | 1240.53 |
 
 
 
 
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  ### Results on ru-llm-arena: 20.3 (local measurement)
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+ | Model | Score | 95% CI | Avg. #Tokens |
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+ |---------------------------------------------|-------|-------------------------|---------------|
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+ | **Cotype-Nano-4bit** | **21.6** | **+2.1 / -1.8** | **587** |
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+ | storm-7b | 20.62 | +1.4 / -1.6 | 419.32 |
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+ | neural-chat-7b-v3-3 | 19.04 | +1.8 / -1.5 | 927.21 |
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+ | Vikhrmodels-Vikhr-Llama-3.2-1B-instruct | 19.04 | +1.2 / -1.5 | 958.63 |
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+ | gigachat_lite | 17.2 | +1.5 / -1.5 | 276.81 |
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+ | Vikhrmodels-Vikhr-Qwen-2.5-0.5b-Instruct | 16.5 | +1.5 / -1.7 | 583.5 |
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+ | Qwen-Qwen2.5-1.5B-Instruct | 16.46 | +1.3 / -1.3 | 483.67 |
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+ | Vikhrmodels-vikhr-qwen-1.5b-it | 13.19 | +1.3 / -1.1 | 2495.38 |
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+ | meta-llama-Llama-3.2-1B-Instruct | 4.04 | +0.6 / -0.8 | 1240.53 |
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+ | Qwen-Qwen2.5-0.5B-Instruct | 4.02 | +0.7 / -0.8 | 829.87 |