Comments (7)
阿里人的态度真好,直接close,不说为啥
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阿里人的态度真好,直接close,不说为啥
大佬提交个PR教一下
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关键是环境依赖的requirement.txt都没有一个,人才呀。
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路过
from qwen.
阿里人的态度真好,直接close,不说为啥
大佬提交个PR教一下
哈哈,最基本的像print这种只是在调试代码的时候使用,或者debug调试,日志就直接log输出。
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eval时多打几个print也没毛病吧
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eval时多打几个print也没毛病吧
你们代码都不进行code review的吗
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Related Issues (20)
- Qwen/eval中的评测CEval和CMMLU,开大推理的batchsize评测指标会显著降低 HOT 1
- 请问基于qwen-72b-chat,基于怎样的配置可以在一台4090上训练起来? HOT 4
- 💡 [REQUEST] - <title> 关于lora 模型合并的几个问题 HOT 3
- [BUG] <关于model.generate时发现的源码错误> HOT 2
- [BUG] <Qwen-14B-Chat 输入长文本时无输出结果> HOT 5
- [BUG] Function Calling 示例有错误,最新的 openai sdk 运行时提示 api 已经废弃 HOT 1
- 请问哪里可以找到qwen用于vllm的jinja template? HOT 1
- [BUG] <title>执行eval中的eval_plugin进行评测 有一个agent从huggingface_hub拉包错误 HOT 1
- 请问可以使用高通的npu进行部署和推理吗? HOT 1
- 微调完成后使用llama_factory的vllm和qwen官方的vllm部署方式启动返回的不一样 HOT 1
- 💡 [REQUEST] - <使用ollama来调用qwen:14B时,怎么设置输出文本长度呢> HOT 1
- [BUG] <title>fastchat + vLLM +OpenAI API 调用qwen模型,数据不需要预先处理吗 HOT 1
- 本地部署后,运行很慢啊 HOT 3
- 请问下 2.5什么时候开源呀? HOT 1
- File "finetune.py", line 412, in <module> train() File "finetune.py", line 384, in train model = get_peft_model(model, lora_config) File "/opt/conda/envs/qwen/lib/python3.8/site-packages/peft/mapping.py", line 123, in get_peft_model peft_config.base_model_name_or_path = model.__dict__.get("name_or_path", None) AttributeError: 'NoneType' object has no attribute '__dict__'[BUG] <title> HOT 1
- qwen 14b 不微调的情况下,问相同的问题,模型输出也不太一致,是为什么?温度已经设置成0了 HOT 1
- [BUG] <title>torch.cuda.OutOfMemoryError: CUDA out of memory. HOT 1
- Qwen pre_trained, 打印一下内容,就没有了,不确定是否训练完成 HOT 1
- 💡 [REQUEST] - <title> finetuning data format question
- [BUG] <title>evaluate_plugin中评测模型调用工具的能力 代码给出的6个指标和官方给的3个指标之间的对应关系是什么?
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