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--- |
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license: other |
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--- |
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# llama2-13b-megacode2-oasst |
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- sampling report: [2023-08-15_andreaskoepf_llama2-13b-megacode2-oasst_sampling_noprefix2.json](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-08-15_andreaskoepf_llama2-13b-megacode2-oasst_sampling_noprefix2.json) |
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### Prompt template |
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[chatml](https://github.com/openai/openai-python/blob/main/chatml.md) format is used: |
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"<|im_start|>user\n{user prompt}<|im_end|>\n<|im_start|>assistant\n{Assistant answer}<|im_end|>\n" |
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Multi-line: |
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``` |
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<|im_start|>user |
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{user prompt}<|im_end|> |
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<|im_start|>assistant |
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{Assistant answer}<|im_end|> |
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``` |
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### Credits & Special Thanks |
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- Compute was generously sponsored by the eplf [Machine Learning and Optimization Laboratory](https://www.epfl.ch/labs/mlo/) |
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- The open-source [epfLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) trainer was used for fine-tuning. |
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- [rombodawg](https://huggingface.co/rombodawg) curated and published [LosslessMegaCodeTrainingV2_1m_Evol_Uncensored](https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored) |
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- [andreaskoepf](https://github.com/andreaskoepf/) prepared & orchestrated the training. |
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