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  This repository contains the [`T-pro-it-1.0`](https://huggingface.co/t-tech/T-pro-it-1.0/) model, which has been quantized into the GGUF format using the [`llama.cpp`](https://github.com/ggerganov/llama.cpp) repository.
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  ## 📊 Benchmarks
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- | Benchmark | T-pro-it-1.0 | T-pro-it-1.0-Q4_K_M |T-pro-it-1.0-Q5_K_M |T-pro-it-1.0-Q6_K |T-pro-it-1.0-Q8_0 |
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- |------------------------------------------------|---------------------------|------------------------|-----------------------|------------------|------------------|
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- | Arena-Hard-Ru | **90.17** | 89.0 |89.29 |88.5 |89.35 |
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  ## Llama.cpp usage
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  This repository contains the [`T-pro-it-1.0`](https://huggingface.co/t-tech/T-pro-it-1.0/) model, which has been quantized into the GGUF format using the [`llama.cpp`](https://github.com/ggerganov/llama.cpp) repository.
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+ Detailed evaluation results of oringal model can be found in our [habr post](https://habr.com/ru/companies/tbank/articles/865582/).
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  ## 📊 Benchmarks
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+ | Benchmark | T-pro-it-1.0 | T-pro-it-1.0-Q4_K_M | T-pro-it-1.0-Q5_K_M | T-pro-it-1.0-Q6_K | T-pro-it-1.0-Q8_0 |
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+ |------------------------------------------------|--------------------------------------|-----------------------------------|-----------------------------------|------------------------------|------------------------------|
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+ | Arena-Hard-Ru | **90.17** (-1.3, 1.5) | 89.0 (-1.5, 1.3) | 89.29 (-1.6, 1.3) | 88.5 (-1.3, 1.3) | 89.35 (-1.2, 1.2) |
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  ## Llama.cpp usage
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