It would. But it's a good option when you have computationally heavy tasks and communication is relatively light.
Audalin
Once configured, Tor Hidden Services also just work (you may need to use some fresh bridges in certain countries if ISPs block Tor there though). You don't have to trust any specific third party in this case.
If config prompt = system prompt, its hijacking works more often than not. The creators of a prompt injection game (https://tensortrust.ai/) have discovered that system/user roles don't matter too much in determining the final behaviour: see appendix H in https://arxiv.org/abs/2311.01011.
Like Firefox ScreenshotGo? (I think it only supports English though)
Huh, it's actually a thing.
xkcd.com is best viewed with Netscape Navigator 4.0 or below on a Pentium 3±1 emulated in Javascript on an Apple IIGS at a screen resolution of 1024x1. Please enable your ad blockers, disable high-heat drying, and remove your device from Airplane Mode and set it to Boat Mode. For security reasons, please leave caps lock on while browsing.
CVEs are constantly found in complex software, that's why security updates are important. If not these, it'd have been other ones a couple of weeks or months later. And government users can't exactly opt out of security updates, even if they come with feature regressions.
You also shouldn't keep using software with known vulnerabilities. You can find a maintained fork of Chromium with continued Manifest V2 support or choose another browser like Firefox.
Very cool and impressive, but I'd rather be able to share arbitrary files.
And looks like you can only send images in DMs, but not in groups/forums.
If your CPU isn't ancient, it's mostly about memory speed. VRAM is very fast, DDR5 RAM is reasonably fast, swap is slow even on a modern SSD.
8x7B is mixtral, yeah.
Mostly via terminal, yeah. It's convenient when you're used to it - I am.
Let's see, my inference speed now is:
- ~60-65 tok/s for a 8B model in Q_5_K/Q6_K (entirely in VRAM);
- ~36 tok/s for a 14B model in Q6_K (entirely in VRAM);
- ~4.5 tok/s for a 35B model in Q5_K_M (16/41 layers in VRAM);
- ~12.5 tok/s for a 8x7B model in Q4_K_M (18/33 layers in VRAM);
- ~4.5 tok/s for a 70B model in Q2_K (44/81 layers in VRAM);
- ~2.5 tok/s for a 70B model in Q3_K_L (28/81 layers in VRAM).
As of quality, I try to avoid quantisation below Q5 or at least Q4. I also don't see any point in using Q8/f16/f32 - the difference with Q6 is minimal. Other than that, it really depends on the model - for instance, llama-3 8B is smarter than many older 30B+ models.
No IPA notation? ⸨I'm somewhat disappointed⸩