Comments (7)
python 的 tp 功能在 #82 中还没合入,可以尝试这个分支或者用 serving 的方式启动
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deepspeed --module lmdeploy.pytorch.chat /models/internlm-chat-7b --num_gpus 2 --max_new_tokens 64 --temperture 0.8 --top_p 0.95 --seed 0
通过deepspeed部署没有问题
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转换为turbomind支持多卡么 是否需要设置一些参数?我感觉这个错误应该和卡数量有关,在error的过程中显存都是一张卡上撑满的
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感谢你的回复,我使用评论中的 #82 对应的分支编译安装了下 现在可以分在两个显卡上运行了
但是通过python3 -m lmdeploy.serve.client {server_ip_addresss}:33337 internlm
这个命令去调用终端不会有任何输出,如下图
这可能是什么原因呀?
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@happened 和你现象一致,webui也是无任何输出
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@Hiwyl 现在最新的main分支已经修复了 可以试下
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Related Issues (20)
- Wonderful work!,请问有关于VLM类模型api_server的性能测试内容吗? HOT 2
- [Bug] awq量化4bit 设置 --tp 4 报错 HOT 1
- [Feature] A series of various optimization points HOT 6
- [Feature] 跑vlm多卡时,显存不太均匀,0号卡特别高,容易oom HOT 2
- [QA] api传非https图片调用模型 HOT 5
- 换用 LLM 基座的 LLaVA 模型适配 HOT 1
- [Bug] w4a16量化Qwen1.5-chat模型报错 HOT 2
- 模型输出为空 HOT 1
- [Bug] InternVL-Chat-V1-5量化报错 HOT 4
- [Bug] w8a8量化后的InternVL-Chat-V1-5模型lmdeploychat启动transformers报错 HOT 2
- [Feature] Guided Decoding HOT 1
- Batch infer seems no speed up HOT 5
- [Bug] WSL2环境下,0.4.2做InternVL量化时,磁盘写入速度极低 HOT 6
- 请问 TurboMind 支持cogvlm系列么? HOT 1
- [Bug] UnboundLocalError: local variable 'head_num' referenced before assignment HOT 4
- [feature] need rope_scaling_factor args in benchmark/profile_generation.py to enable dynamic NTK.
- [Feature] AWQ量化的校准数据集
- [Feature] ModuleNotFoundError: No module named 'timm' with Internal Vision model HOT 2
- [Feature] health endpoint HOT 2
- [Feature] model name should be settable or follow original full HF link name, not random new name HOT 5
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