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@@ -15,6 +15,8 @@ You can use LlamaForCausalLM for model inference, which is the same as LLaMA/LLa
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  The model has been edited to be white-labelled, meaning the model will no longer call itself a Qwen.
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  SPOILOR: Further finetuning is in progress, the current version is a work-in-progress, some knowledge may be biased and illusory due to structural changes. Will be updated very, very soooooooooon.
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  PROMPT FORMAT: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)
@@ -39,6 +41,8 @@ Issue: Compared to the original Qwen-7B-Chat scoring 53.90 in MMLU and 54.18 in
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  模型已经被编辑实现白标化,不再自称通义千问。
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  剧透: 进一步的微调正在进行中,当前版本是一个正在进行的工作,一些知识可能由于结构变化而产生偏见和幻觉。 会更新,很快,非常非常快。
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  PROMPT 格式: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)
 
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  The model has been edited to be white-labelled, meaning the model will no longer call itself a Qwen.
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+ Up until now, the model has undergone numerical alignment of weights and preliminary reinforcement learning in order to align with the original model. Some errors and outdated knowledge have been addressed through model editing methods. This model remains completely equivalent to the original version, without having any dedicated supervised finetuning on downstream tasks or other extensive conversation datasets.
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  SPOILOR: Further finetuning is in progress, the current version is a work-in-progress, some knowledge may be biased and illusory due to structural changes. Will be updated very, very soooooooooon.
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  PROMPT FORMAT: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)
 
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  模型已经被编辑实现白标化,不再自称通义千问。
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+ 到目前为止,该模型已经进行了权重的数值对齐和初步的强化学习,以与原始模型保持一致。 一些错误和过时的知识已通过模型编辑方法得到解决。 该模型与原始版本完全等效,尚未对下游任务或其他广泛的对话数据集进行任何专门的监督微调。
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  剧透: 进一步的微调正在进行中,当前版本是一个正在进行的工作,一些知识可能由于结构变化而产生偏见和幻觉。 会更新,很快,非常非常快。
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  PROMPT 格式: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)