Comments (3)
@iamblue 如果要在2080Ti上使用推理建議使用7b的模型,比如這個generate腳本中所示,13b的模型建議使用更大顯存的顯卡或者使用CPU進行推理(如果內存大小支持的話)
from chinese-vicuna.
@Facico 好的,用 cpu 測試下來,需要 memory 約近 54GB ,想問一下後續有機會優化記憶體空間嗎?
from chinese-vicuna.
我們也支持使用gptq的量化(不過在量化的過程中需要比較大的顯存),由於用那個量化的方法目前效果不好,沒有將量化後的模型上傳,後續我們會關註這上面的問題。
from chinese-vicuna.
Related Issues (20)
- 有办法改成分类任务么,用LlamaForSequenceClassification模型类加载
- transformers和pydantic问题 HOT 1
- 是因为梯度为0吗?
- 多卡finetune_chat时报mat1 and mat2 shapes cannot be multiplied (1024x2 and 1x11008) HOT 2
- 中文乱码 HOT 5
- 请问多个lora模型怎么合并?
- 请问llama7b_4bit_128g的input shape是多少呢 HOT 1
- 运行chat_7B.sh聊两句话out of memory
- 多卡训练 bash scripts/finetune.sh报错 HOT 1
- 这几个不同路径下的模型是否有区别?
- 运行generate脚本之后,在页面提问,很久没有产生回答,后台无报错 HOT 2
- OSError: Not enough disk space. Needed: Unknown size (download: Unknown size, generated: Unknown size, post-processed: Unknown size)
- 从belle+guanaco数据集中抽取前5000条样本训练lora,效果不好
- deepspeed跑模型相关问题
- 使用finetune.sh来指令微调llama-33b,出现ZeroDivisionError: integer division or modulo by zero错误 HOT 2
- 可以提供一下huggingface上的Chinese-Vicuna/llama7b_4bit_128g模型的config.json和tokenizer么?
- 官方colab安裝套件失效
- 如果更改數據集格式,要如何更改代碼
- 可以更新一下requirements吗? HOT 1
- 关于中断训练继续训练。 HOT 16
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from chinese-vicuna.