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#Macrostiff Model (1 Jan 2026) [General/Model Discussions] model_drop
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Hey I like this model so far. Cheers 🥂
The name is great at least!
Stop the presses, this model CAN stop on a red
Would you say it’s a smooth stop, or more rough at the very end of the stop
it's real smooth because it still acts like previous models with the creep at the end, went over the crosswalk then finally came to a stop
drove with this for about 2 hours, it's pretty good no serious regressions anywhere compared to default
long is great on city streets, stops at reds and sometimes goes on greens (albeit slowly)
lat about the same as before which is not a bad thing
highway long sucks though, can't maintain speed
i'll keep it as my new default i think but switch to non exp on highways
which i was doing anyway so overall an improvement
lateral still likes to crash into parked cars a lot though
but so does default
really need to get back on mainline SP so my firehose data goes up
@narrow valve Have you tested this model yet? If so, any review compared to WMI V7?
Does the learned steering lag stay regardless of the model used?
It does but it occasionally drifts based on the model. I don’t remember which models it was (I think firehose and Nevada) stabilized at different levels of lagd.
Is there any reason these new models aren't available in staging?
Updates aren’t happening to staging while the raylib rewrite is happening, new modeld is needed I believe
Yeah I'm aware of the rewrite, but the models are downloaded from the cloud. Modeld update makes sense, but I thought maybe some of the new ones should still work. Guess I'll have to switch to dev then.
The sunnylink UI lets you adjust almost everything needed. But you can’t adjust the metrics under the chevron or the advanced data on the display right now so have those set before you update.
You may be able to SSH to make the changes but I haven’t tried that
I’ll attach the E2E Long (experimental mode) graphs included in the pull request here for record-keeping.
So far I’m liking this model more than WMI V7 for my 2019 RAV4 ICE
Does it cut corners like all the other WMI models. WMI V3 seems to be the best at staying on the road during right turns. I think the snow looks like a lane line and it hits the rumble strips.
I feel like it’s similar but the recentering is faster so it feels more consistently centered than WMI.
I drive in mostly 50 mph and curvy city roads so centering is the main requirement I need.
It also has extremely strong torque steering for 90 degree left and right turns.
I have a couple 55mph sweeping 90 degree turns that some models basically drive off the shoulder. Even when I'm holding the center of the lane I can feel the model pulling pretty hard.
I also tested the MacroStiff Model (8c06e95e-d7c0-4fd9-ba02-9f0b6848785e) for about 30 minutes during a clear daytime drive, under conditions similar to my WMI v7 test.
In terms of lane centering, MacroStiff performs just as well as WMI v7. Both models consistently hold the center of the lane, and I couldn’t really tell a difference in lateral performance. They are equally comfortable and feel very well tuned in that regard—excellent work on both.
However, I did notice a clear difference in E2E longitudinal behavior (experimental mode). With the MacroStiff model, there were many situations where acceleration felt insufficient, and I often had to manually apply the throttle. In contrast, with WMI v7, this almost never happened.
This difference in longitudinal performance is quite striking. WMI v7 feels much more confident and natural in its acceleration behavior, which makes a big difference in everyday driving.
The following distance it’s way better than WMI v7 I like it so far but at high speed over 100km/h it has some kind of rubber band effect, lateral ok ✅
Not bad so far
Lat hugged the right side of the lane. I recalibrated the camera and it was a lot better. Long is always really slow and seemed to stop late at stop signs.
master merged
Macrostiff is a good model, but I personally feel that WMI v8 is far superior, so I’m really hoping that the development of the WMI model will be completed and merged into master.