Open mwsmws22 opened 2 weeks ago
I'm also experiencing the same issue following the documentation's default setup. Feel free to reach out for further information. But I also experience this not only from main but also when using the 0.6.3 release.
I also experience this issue.
Yes, me as well.
Its a pity, that the docker images in the compse file are not taged, instead they are set to :latest
.
Maybe one of the maintainers could tell us a set of tags (version numbers) that work?
Maybe that can help us.
Hello everyone,
I encountered the same issue and resolved it by making a few adjustments to the docker-compose.yaml
file. You can find my updated version below.
docker-compose.yaml.zip
thank you!
Hello everyone,
I encountered the same issue and resolved it by making a few adjustments to the
docker-compose.yaml
file. You can find my updated version below. docker-compose.yaml.zip
Pre-check
Description
I have followed the quick start guide, but am unable to start private-gpt. I get the following error log above. These lines seem relevant:
msg="CPU does not have minimum vector extensions, GPU inference disabled" required=avx detected="no vector extensions"
[INFO ] httpx - HTTP Request: GET http://ollama:11434/api/tags "HTTP/1.1 504 Gateway Timeout"
[ERROR ] private_gpt.utils.ollama - Failed to connect to Ollama: Gateway Timeout
Failed to connect to Ollama, check if Ollama server is running on http://ollama:11434
I tried to access
localhost:11434
but no luck. Maybe my hardware is too underpowered to run Ollama? It's a little NUC with 16 GB RAM and the following CPU:Steps to Reproduce
git clone https://github.com/zylon-ai/private-gpt.git cd private-gpt docker-compose --profile ollama-cpu up
Expected Behavior
private-gpt should be accessable at localhost:8001
Actual Behavior
It does not come up, see above error message.
Environment
Intel NUC / 16 GB RAM / Intel(R) Celeron(R) N5105 @ 2.00GHz
Additional Information
No response
Version
No response
Setup Checklist
NVIDIA GPU Setup Checklist
nvidia-smi
to verify).sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
)