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README.md
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## Training Notes: This model was developed using a combination of multi-stage supervised fine-tuning, pre-trained QLoRA adapters, and multi-stage RLHF optimized with GRPO. The final model was created by merging the most promising candidates identified during the process.
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# The following YAML configuration was used to produce this final version of the model:
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```yaml
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slices:
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## Training Notes: This model was developed using a combination of multi-stage supervised fine-tuning, pre-trained QLoRA adapters, and multi-stage RLHF optimized with GRPO. The final model was created by merging the most promising candidates identified during the process.
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## Series Comparison:
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# The following YAML configuration was used to produce this final version of the model:
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```yaml
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slices:
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