Comments (6)
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int4效果一般会有较大损失。如果只是想体验对话效果,可以在 modelscope 免费体验:https://modelscope.cn/studios/qwen/Qwen-7B-Chat-Demo/summary
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了解~ int4 在 readme 里好像有相关内容,我找相关同事确认下是否可用。btw,我刚用新手机号试了下,注册 modelscope 体验 demo 似乎不需要阿里云账号,注册环节不要点击“领取算力礼包”、跳过绑定阿里云账号的环节即可。
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1.我的意思是说像ChatGLM一样在HuggingFace上放一个预先int4量化过的模型,不然RAM较小的环境连加载模型都做不到
2.demo体验了一下,但是我发现可以免auth token通过gradio api使用demo,如果是有意为之,那我感觉登录完全多此一举,如果是无意为之,建议想办法加上auth token避免滥用
3.另外报个modelscope的bug,看似手机号支持那么多国家,实际上只支持+86,因为别的国家手机号都会格式错误(验证码正常收,在填写账号名称的地方会报错)
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之前应该是默认fp32很容易爆显存,现在打开应该能节省。NF4和Int8也都可以使用。RAM比较小这个问题,我们后续直接做个量化版本的ckpt提供出来。
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那么希望量化版本的ckpt能够尽快放上HF,这个issue我先关了。
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Related Issues (20)
- [BUG] <title> code_interpreter 生成的图像只能生成到阿里云上么,不能不传到云上,只在本地保存么? HOT 2
- 指定了模型地址,还是提示 Incorrect path_or_model_id: '/data/shared/Qwen/Qwen-Chat/'
- [BUG] <title> 如何用vllm部署qlora后的模型 HOT 1
- [BUG] CUDA Error: invalid device function /tmp/pip-req-build-5rlg4jgm/ln_fwd_kernels.cuh 236 HOT 4
- [BUG] .CalledProcessError: Command '['/usr/bin/gcc', '/tmp/tmpecd6su1w/main.c' HOT 3
- how to convert qwen.tiktoken to tokenzier.model HOT 1
- Run Qwen /openai_api.py, Error :Input should be a valid string, body.messages[3].function_call,请问Qwen1.5不支持了么? HOT 1
- pip install csrc/layer_norm 不成功 HOT 1
- [BUG] <title> wrong system prompt check? HOT 2
- [BUG] <title>batch_infer报错:'tuple' object has no attribute 'dtype' HOT 2
- 如何添加`LogitsProcessor`控制结果输出?
- [BUG] <title>lora微调loss异常? HOT 5
- tokenizer.decoder 抛出'utf-8' codec can't decode bytes in position 1-2: unexpected end of data异常 HOT 2
- [BUG] lora微调后,合并成一个模型。这种方式如何加载且推理 HOT 3
- [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
- 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 2
- [BUG] <title>Could not get Gradio config from,现在所有的模型似乎不再支持API调用了??不管是达摩还是HF HOT 2
- [BUG] <关于model.generate时发现的源码错误> HOT 2
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