Welcome to our weekly discussion hub where we talk about AI models and API platforms.
Any general conversations about models or APIs that don’t get posted here will be removed. We’re trying to keep things organized and stop the flood of ‘which model should I use’ posts.
Note: This isn’t a place to spam your own services. We might allow announcements for genuine new platforms occasionally, but don’t expect promotional content to stay up.
How This Discussion Works
Look for these main discussion categories below:
LARGE MODELS: 70B+ – Talk about models with 70 billion parameters or more
MEDIUM-LARGE MODELS: 32B-70B – Discussion for models between 32B and 70B parameters
MEDIUM MODELS: 16B-32B – Chat about models in the 16B to 32B range
SMALLER MODELS: 8B-16B – For models between 8B and 16B parameters
COMPACT MODELS: Under 8B – Discussion of lightweight models below 8B parameters
API PLATFORMS – Talk about API services, costs, speed, availability, and more
OTHER TOPICS – Everything else about models and APIs that doesn’t fit above
Just reply under the right category with your questions, tips, or suggestions. This helps everyone find what they need quickly.
About time we got some structure around here! I’ve been lurking for weeks and the random model posts everywhere were driving me nuts. Parameter breakdown is smart - saves me from clicking into discussions about 70B+ models when I’m stuck with 8gb VRAM lol. Hoping the API section stays active since pricing changes seem to happen weekly these days.
Great idea organizing it this way. I’ve been testing different model sizes across projects and always had to dig through random threads for performance info. This parameter-based setup will make it way easier to compare notes with people using similar hardware. Love that there’s dedicated space for API talk - vendor reliability matters just as much as model performance when you’re in production. Really hope we get solid reporting on which services actually hit their uptime promises vs the ones that crash during peak hours.
This structure fixes a real problem we’ve had. Organizing by parameters makes sense since we’re all dealing with hardware limits when picking models. Love the API platforms section - costs and availability shift constantly, so having a spot for real-time updates is huge. The no-promo rule is key too; too many threads become sales pitches in disguise. Can’t wait for focused discussions instead of model comparisons scattered everywhere.
Love seeing this format finally rolled out. I’ve been watching model discussions get scattered across dozens of threads for months - this centralized setup will help newcomers find what they need way faster. The parameter categories make total sense since we’re all working within hardware limits anyway. One thought - maybe add a quick note about where custom fine-tuned models belong? Those get tricky to categorize depending on the base model. Really hoping this cuts down on all those repetitive “what model should I use” posts flooding the main feed.
Finally! This is exactly what we needed. My team’s been stuck in endless Slack debates about model choices instead of having actual organized discussions.
Love the API platforms section. Model performance matters, but the real headache is juggling multiple endpoints, rate limits, and random downtime across services.
I use Latenode to automate the whole workflow. Built automation that tracks costs and availability across platforms, then auto-routes requests to the best option when something goes down or gets pricey. Total game changer for production.
The parameter categories are brilliant too. Easy to find discussions that match your hardware without scrolling through threads about models you can’t even run.
If you’re wrestling with complex API management across multiple AI services, check out https://latenode.com