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--- |
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license: apache-2.0 |
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datasets: |
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- OpenAssistant/oasst1 |
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- rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored |
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--- |
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# falcon-40b-megacode2-oasst |
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- wandb: stage 1: [run37_megacode_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run37_megacode_falcon40), stage 2: [run38_megacode_oasst_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run38_megacode_oasst_falcon40) |
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- stage 1 model: [andreaskoepf/falcon-40b-megacode2](https://huggingface.co/andreaskoepf/falcon-40b-megacode2) |
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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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