Muhammad Ahtesham Ul Haq

torch.cuda.OutOfMemoryError: CUDA out of memory.

2

Getting this error while using single A100 8G0GB while loading llama-7b I tried reducing the batch size also changes the **--gradient_accumulation_steps** but not able to work it out. I was...

While weight conversion of llama-13b getting this error: RuntimeError: Internal: unk is not defined.

1

I am using linux ubunto. with following virtual environment **accelerate==0.18.0 certifi==2022.12.7 charset-normalizer==3.1.0 cmake==3.26.3 filelock==3.12.0 huggingface-hub==0.13.4 idna==3.4 Jinja2==3.1.2 lit==16.0.1 MarkupSafe==2.1.2 mpmath==1.3.0 networkx==3.1 numpy==1.24.2 nvidia-cublas-cu11==11.10.3.66 nvidia-cuda-cupti-cu11==11.7.101 nvidia-cuda-nvrtc-cu11==11.7.99 nvidia-cuda-runtime-cu11==11.7.99 nvidia-cudnn-cu11==8.5.0.96 nvidia-cufft-cu11==10.9.0.58 nvidia-curand-cu11==10.2.10.91 nvidia-cusolver-cu11==11.4.0.1...

While weight conversion of llama-13b getting this error: RuntimeError: Internal: unk is not defined.

2

### System Info OS : Ubunto Virtual Env : **accelerate==0.18.0 certifi==2022.12.7 charset-normalizer==3.1.0 cmake==3.26.3 filelock==3.12.0 huggingface-hub==0.13.4 idna==3.4 Jinja2==3.1.2 lit==16.0.1 MarkupSafe==2.1.2 mpmath==1.3.0 networkx==3.1 numpy==1.24.2 nvidia-cublas-cu11==11.10.3.66 nvidia-cuda-cupti-cu11==11.7.101 nvidia-cuda-nvrtc-cu11==11.7.99 nvidia-cuda-runtime-cu11==11.7.99 nvidia-cudnn-cu11==8.5.0.96 nvidia-cufft-cu11==10.9.0.58 nvidia-curand-cu11==10.2.10.91 nvidia-cusolver-cu11==11.4.0.1...

Copy Namespace Feature

4

Is there any copy namespace feature available in pinecone? I have tried to search about it but have not been able to find any sort of solution provided by pinecone...