Comments (3)
You mentioned Tegra X1 that is NVIDIA's chip, which I take to mean that you want to use CUDA on it.
First let's ignore annoying drivers, performance, etc. According to this document, we can notice that this chip uses the Maxwell architecture(Compute Capability is 5.x). But the minimum Compute Capability required for this project is 6.0.
So I don't think it's a good idea, at least not yet.
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Yep. Also, given the computational requirements of the model, running on the Tegra X1 would not be a very pleasant experience, I think.
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Thanks for your answers @moyix @Frederisk
And for your work (I've not tested yet because of GPU requirement).
It's amazing to see open-source project that ease the use of alternative to Github Copilot.
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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- is documentation outdated?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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