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This model reaches a score of 79% on the QML100 Fill-In-The-Middle code completion benchmark for Qt6-compliant code. In comparison, GPT4o scored 62%, Claude 3.5 Sonnet scored 68%, and the un-tuned CodeLlama-13B-hf 66%. This model was fine-tuned based on raw data from 4000 human-created QML code snippets using the LoRa fine-tuning method. CodeLlama-13B-QML is not optimised for the creation of Qt5-release compliant, C++, or Python code.
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## Terms of use
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By accessing this model, you are agreeing to the Llama 3.2 terms and conditions of the [license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/LICENSE), [acceptable use policy](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/USE_POLICY.md) and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/). By using this model, you are furthermore agreeing to [Qt AI Model terms & conditions](https://www.qt.io/terms-conditions).
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## Usage:
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This model reaches a score of 79% on the QML100 Fill-In-The-Middle code completion benchmark for Qt6-compliant code. In comparison, GPT4o scored 62%, Claude 3.5 Sonnet scored 68%, and the un-tuned CodeLlama-13B-hf 66%. This model was fine-tuned based on raw data from 4000 human-created QML code snippets using the LoRa fine-tuning method. CodeLlama-13B-QML is not optimised for the creation of Qt5-release compliant, C++, or Python code.
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## Terms of use:
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By accessing this model, you are agreeing to the Llama 3.2 terms and conditions of the [license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/LICENSE), [acceptable use policy](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/USE_POLICY.md) and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/). By using this model, you are furthermore agreeing to [Qt AI Model terms & conditions](https://www.qt.io/terms-conditions).
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## Usage:
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