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This repository contains the [`T-lite-it-1.0`](https://huggingface.co/t-tech/T-lite-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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## Llama.cpp usage
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This repository contains the [`T-lite-it-1.0`](https://huggingface.co/t-tech/T-lite-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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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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| Benchmark | T-lite-it-1.0 | T-lite-it-1.0-Q8_0 |
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| Arena-Hard-Ru | **64.38** (-2.1, 2.5) | 64.21 (-2.2, 2.7) |
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## Llama.cpp usage
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