初始化项目，由ModelHub XC社区提供模型

Model: OpenAssistant/llama2-13b-megacode2-oasst
Source: Original Platform

README.md

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+---
+license: other
+---
+# llama2-13b-megacode2-oasst
+
+- 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)
+
+### Prompt template
+
+[chatml](https://github.com/openai/openai-python/blob/main/chatml.md) format is used:
+"<|im_start|>user\n{user prompt}<|im_end|>\n<|im_start|>assistant\n{Assistant answer}<|im_end|>\n" 
+
+Multi-line:
+
+```
+<|im_start|>user
+{user prompt}<|im_end|>
+<|im_start|>assistant
+{Assistant answer}<|im_end|>
+```
+
+### Credits & Special Thanks
+
+- Compute was generously sponsored by the eplf [Machine Learning and Optimization Laboratory](https://www.epfl.ch/labs/mlo/)
+- The open-source [epfLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) trainer was used for fine-tuning.
+- [rombodawg](https://huggingface.co/rombodawg) curated and published [LosslessMegaCodeTrainingV2_1m_Evol_Uncensored](https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored)
+- [andreaskoepf](https://github.com/andreaskoepf/) prepared & orchestrated the training.