Comments (7)
之后会有技术报告出来的
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之后会有技术报告出来的
好的,多谢,会持续关注的
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We also are closely paying attention to how to preprocessing code dataset, especially how to handle the dependencies among code file
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- Step 2: Parsing the dependencies of files within the same repository to rearrange the file positions based on their dependencies.
- Step 3: Concatenating dependent files to form a single example and employ repo-level minhash for deduplication.
期待发布这两部分的更多细节
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之后会有技术报告出来的
请问技术报告里包含SFT数据的构造方法吗,以及SFT数据是否开源?顺便问一下技术报告什么时候能出来,很期待👍
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请问这部分内容现在有更新吗?
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ding 一个
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Related Issues (20)
- 请问支持function call吗?支持在RAG中实现inline citations吗?
- markdown格式的数据预训练 HOT 3
- 微调完的模型,如何跟基础模型合并? HOT 1
- 本地部署怎么实现vscode自动代码补全? HOT 1
- How to use fine-tuned model? HOT 3
- 使用vllm加速inference后输出容易不符合格式要求
- 使用vllm加载33b-base或33b-instruct后,使用DS-1000、Program-Aided Math Reasoning (PAL)评估集进行评估,得分很低,与论文上的数据不符
- 并发数目
- 用vllm加速推理框架 推理速度还是很慢 HOT 1
- Are EOS tokens masked during pre-training? If so, how does FIM mode know how to connect to the `text_after`?
- 训练数据切分问题 HOT 1
- 疑惑:为什么 base 模型的 tokenizer 词表中也有类似 <|Assistant|> 这样多用于 chat 模型的 special tokens?
- Deepseekcoder 6 spitting out corrupt output for code generation question
- 为什么在进行一次训练加载后,会出现找不到显卡no slot的报错呢?
- RuntimeError: CUDA error: no kernel image is available for execution on the device
- Where is DeepSeek-Coder-V2?
- Long Code Arena
- deepseek-coder-6.7b-base vuejs代码补全上存在一些问题
- 加载模型时出错
- What is the correct padding side for train/eval of base model for FIM?
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