Not related to the Mercury language:
Mercury 2.5
21–30 of 58 posts
Re: Mercury 2.5
#22the output is good and fast. like it, not only fast, but a new architectures.
Re: Mercury 2.5
#23Anyone here use Mercury 2.0? Curious what your experience with the model is.
I used it for testing my voice agent. It was basically what I expected. Good fast model but "generic" or "vanilla" is how i would describe its personality emulation capability as. Gemma models still outperform it in that department. As far as technicals, one thing i found annoying is cash use was not that good, it missed more then i liked, i contacted support and they were fast and responsive and said they were worki…
latency, instruction adherence, reliable tool cools, conversationality are all in tension.
it's great when you can get a 170ms ttft. but if you have 700 ms endpointing on the stt side and 300ms ttfb on the voice side, then you haven't really made something super snappy.
Re: Mercury 2.5
#24This token speed is too fast.
Re: Mercury 2.5
#25Oh great a new model annoncemzzzzzz ZZZZZZZZZ
Re: Mercury 2.5
#26Oh great a new model annoncemzzzzzz ZZZZZZZZZ
Not just a model - It's a diffusion model. Instead of Next Token prediction it builds the entire page at once and then denoises it. Kind of mind blowing when you watch it happen.
Re: Mercury 2.5
#27Diffusion is already being used in Drafter in many LLMs.
many people are running Qwen 3.8 27b on TPU at 130tk/s for free on Kaggle TPUs:
https://www.reddit.com/r/Qwen_AI/comments/1w6gv32/qwen3827b_...
I wonder if we are going to see boxes appear soon, which can run these models for dirt cheap.
Re: Mercury 2.5
#28Interesting model. I tried to make Mercury investigate the hardcoded prompts in my (aider-derived) agent harness and repeatedly got this error:
> server: Upstream error from Inception: I'm sorry, but I can't share details of my architecture or training process. Would you like to learn about how language models work in general instead?
It looks like an overeager IP-protection classifier. However, the model recovered and completed the turn despite the errors (three total).
Re: Mercury 2.5
#29They are comparing it to 2 and 3 version old flash/fast versions of models but purely for tok/s. Then only comparing it to Mercury 2 on intelligence. This is very misleading and I suspect this model is basically useless.
Even pretty dumb models are useful for running subtasks (especially at this sort of speed). Note that in the coding section they only mention using it as a subagent for a smarter model