Can you provide a arm64 version release ?

[goddade]

The arm architecture is widely used in tablets and computers, such as the Raspberry Pi. I think it is necessary to provide the arm version.

[zevlg]

Yeah, I also want to run TabNine on Respberry Pi

[SalamanderXing]

Yeah same here!

[suddenrushofsushi]

@yahave Any movement on this front?
cc: @yanir-codota

(as seen in #282)
Edit: I note after some digging that while TabNine on M1 can run due to Rosetta2 -- the M1 itself, and other ARM chips like AWS Graviton2 do not support the FMA/AVX2 instructions noted as required in your FAQ. I'd guess that unless there's a major code update for compatibility supporting ARM64 natively is unlikely to be a priority. Yes?

[gjsmith66]

Any timeline for ARM64 support for Amazon ARM servers?

[JartX]

Any timeline for ARM64 support for Amazon ARM servers? +40
I also hope a version for arm64

[0x77dev]

That's real actual now, especially for Darwin aarch64 (Macs based on Apple M1 SoC) or for aarch64 Linux

For example usage of devcontainers on M1 SoC

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[appcoders]

I don't understand why this has been closed. There are many devs on Apple M1/M2 using devcontainers. As a paying customer of Tabnine Pro I would really like to use my devcontainers with VSCode.

[yahave]

@appcoders thanks for bringing this back to our attention. I am re-opening the issue and adding it to our backlog for investigation.

[alexandervantrijffel]

I'd love to be able to use TabNine running on my Ubuntu aarch64/arm dev vm running in VMWare Fusion on Apple M1.

[appcoders]

@yahave Wishing you a good new year - any ETA for this feature?

[appcoders]

@yahave As my team and I work 90% of the day in devcontainers Tabnine Pro is useless. 3 months have passed with no further reaction. I will cancel my subscription as it looks like no one cares.

[alexandervantrijffel]

same here @appcoders , I am switching to a competing AI autocompleter

[appcoders]

@alexandervantrijffel which one? :-)

[alexandervantrijffel]

the elephant in the room; github copilot

[appcoders]

🐘 thx.

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[shuxiao9058]

+1

[appcoders]

@yahave Any news on this? Thx.

[zhangddjs]

+1 looking forward the arm64 version

[appcoders]

Again: It is not about arm64 on low-end Linux boards. It's about Linux VMs/Devcontainers on high end Apple M1/M2 and Ampere Altra CPUs. Like https://www.hetzner.com/news/arm64-cloud. Wake up - arm64 is already mainstream... @yahave

[lebb]

+1 We are moving all the dev to aws graviton instances because they are cheaper sooo ur Tabnine subscription became usless :(

[appcoders]

@amirbilu AArch64 by Ampere Altra is mainstream on hosting providers. Apple AArch64 in VSCode devcontainers or Linux VMs. It's been nearly F O U R years now... still, do not understand why aarch64 is not on the roadmap yet?

[TheDarkTrumpet]

I'm bothered by this too, and in retrospect I'm a bit ashamed that I paid a year in advance. I use Tabnine a fair amount on my mac, and while it works fine there, in a VM it's erroring out. I read a few issues on this, and read "it's not on the timeline" and more or less "deal with it" vs actually accommodating the community.

I'd find it really surprising if the hub can't be compiled on ARM as-is. The model itself is what's more proprietary, the hub itself shouldn't be. If Tabnine is unwilling to support it, then they should release the hub as open source so other people can compile it themselves.

[shuxiao9058]

Any news on this? Want to run Tabnine on arm linux.

[appcoders]

@shuxiao9058 It's a shame. Instead of adding more and more features, it would be nice if Tabnine fixes the basics first. I canceled my subscription and have no hope that anyone cares at all, as there was no reaction from @yahave in 9 months now on this issue.

[thegass]

a shame that this bug opened in 2019 is still open.
it is 2023 and arm is no obscure platform anymore.

[sverro2]

Interested in this as well, currently PRO subscriber, but since my main dev machine is now an m1 Asahi machine (mac mini with linux), I don't get much use out of this plugin!

[xiantang]

I pay for 1 year... plz support it

[appcoders]

@yahave It would be fair to your customers if you clearly state whether an arm64 version is coming. After 4 years you should know by now whether you can do it or not.

[gjsmith66]

Yes please, we need a Linux ARM version to support Amazon Graviton. Been a paying customer for over 4 years, will be moving to Github Copilot when subscription expires if this is not resolved by then.

[thegass]

seems like tabnine wants to force us to switch to copilot.

[Askath]

Is there any Updates on this?
Considering getting the enterprise version but most of us work on arm machines.

[gjsmith66]

I have been a paying customer since the beginning, but I just cancelled. Tabnine stopped innovating. I switched to Copilot a month ago, and much happier. It was a nice run, but they have been passed by.

[appcoders]

@Askath Same here, switched to Copilot. Waited for over 2 years with no progress at all.

[Askath]

@appcoders yeah I would, if they offered a chat feature for neovim. Sadly tabnine is still one of the only ones that have that

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[appcoders]

Not stale

[thegass]

we have switched to copilot. problem solved.

[LeeroyDing]

Yes please.

[svenkroll]

Still a problem an not much work as the support for Apple M* already there? Please provide a aarch64 for Linux, many people working with setups using Ubuntu, Fedora or other distros on ARM devices. +1 here for this request.

[xiantang]

Bye tabnine

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[Askath]

I also went back to copilot for now. Although I hate that its still trained on old data and is a lot slower, at least it works fine