Comments (1)
jklj077
commented on May 28, 2024
Please be informed that Qwen(1.0) models and codes are actively maintained. We suggest you to upgrade to Qwen1.5.
A key characteristic of Qwen1.5 is its enhanced compatibility with the transformers ecosystem, where it seamlessly integrates into the thriving community and harnesses its collective power for capability expansion. Users can leverage Qwen1.5 just as they would any other models within the established transformers framework, such as LLaMA or Mistral. One should be able to code more easily with Qwen1.5.
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Related Issues (20)
- [BUG] lora微调后,合并成一个模型。这种方式如何加载且推理 HOT 4
- [BUG] Qwen/Qwen-72B-Chat-Int8，不能多GPU并行计算 HOT 1
- 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 2
- 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 2
- 💡 [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 4
- 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 2
- 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 2
- [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 2
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