Comments (10)
I also just found this, which looks like it might be a good fit since the FauxPilot server is already using Flask: https://www.geeksforgeeks.org/how-to-run-flask-app-on-google-colab/
I will look into putting together a notebook! :) Thanks for the great suggestion!
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Hmm would serverless work when the models are really big though? Loading the 16B model from disk -> GPU takes almost a minute, so I wouldn't want to have to do that on every completion request...
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Well, isn't this project a server for code generation? Does it launch up VSCode? You might have been banned because of the third rule. Again, about the tunneling, the AI application at Colab I mentioned above (KoboldAI) is still up and running, even though they use tunneling. Here's the link for their Colab.
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This is a really interesting idea! Do you know if Google Colab has any way to listen on a network port that can be reached from the outside world?
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I remember a storyteller AI (KoboldAI, absolute banger). It opens an HTTP server from Cloudflare, then you connect to that Cloudflare server from your browser and you could have interacted with it very well. Sending a prompt request, getting a response from the server. Maybe something like that can be done in this case?
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I think Colab has started to ban tunneling. Colab FAQ
I used to use a similar tool called colabcode which would allow firing up VSCode in colab on a remote server, but with recent changes in their policy, they don't allow this anymore.
You can check more about this over here. abhishekkrthakur/colabcode#109
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How about serverless?
Cloud Run on Google Cloud Platform you pay for each HTTP request and first 2 millions request are free.
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Not quite on topic but: if the model layers were broken up people could form small networks to share compute.
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I think the network latency involved would make that pretty slow?
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emm, any progress on this issue?
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Related Issues (20)
- Support arm64 to minimize cost
- Maybe add windows/etc installer all-in-one in this project's 'releases'.
- 400 Bad Request when file has around 100 lines of code HOT 3
- C# support! HOT 2
- Hello all. The comments above have been very helpful in setting up the Copilot extension. I managed to get it to work with my instance and figured I would combine the steps I used (this is for Windows. Linux installation is similar, just different locations):
- It was working fine before... HOT 1
- Support for AMD GPUs HOT 1
- Triton doesnt exist anymore I think? HOT 3
- K8s deployment (via helm chart) HOT 2
- Caught signal 11 (Segmentation fault: address not mapped to object at address (nil)) HOT 1
- why my response are all !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! HOT 3
- Can I merge images of triton and client into one?eg fastertransformer_backend get content_fetch <fastertransformer&client>in CMakeLists ? HOT 1
- help me HOT 1
- What is the comparison of these model in huggingface? HOT 2
- Python Backend: "Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0" HOT 2
- [promptlib] proxy {"cause":{}} HOT 1
- ollama HOT 2
- Company Proxy HOT 1
- is documentation outdated?
- Jetbrains Support
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