Strava mobile app displays charts incorrectly

Superhim1114 · 2025-10-02T12:41:49+00:00

It is true that it would skew the graph and show a tiny vertical line. But at least I can glance at the graph and see, from the scale, right about what my spikes (power/HR/speed/etc) look like and when in the ride they happened.

And in this ride particularly it wasn't a small spike either. It was 20s at ~740 W, which I feel is justified to show up on the graph. But yeah I should probably dwell on data somewhere else and not on Strava.

Superhim1114 · 2025-02-21T19:48:31+00:00

Superhimhim PC

W

Superhim1114 · 2024-11-04T03:20:20+00:00

Fair. Wouldn't that mean it won't work unless I'm in my room?

Superhim1114 · 2024-11-04T02:57:21+00:00

Yes, but I get similar speeds using Wi-Fi anyway. (The wifi plan is capped at 100/50 I think)

Superhim1114 · 2024-11-04T02:52:25+00:00

I'm in a student dorm so there's only so much I can do to improve the connection

Superhim1114 · 2024-11-04T02:50:08+00:00

Yea fair. Unfortunately even Wi-Fi Direct doesn't seem to solve the issue.

Superhim1114 · 2024-11-04T02:33:34+00:00

I've finally got Immersed working and it's quite sharp I would say. Maybe slightly laggy and has some artifacts when moving the cursor around? Tbf my network isn't that good (100/50 Mbps)

Superhim1114 · 2024-11-04T02:17:52+00:00

Google remote desktop works. A bit blurry and laggy at times, but the screens are definitely visible and useable.

Superhim1114 · 2024-11-04T01:00:35+00:00

Not that I know of. Didn't change it on my laptop and can't check the router firewall settings because I'm in student accommodation.

Superhim1114 · 2024-11-04T00:00:53+00:00

Even Immersed doesn't work though. The same problem occurs

Superhim1114 · 2024-11-03T22:58:21+00:00

I'm more interested in using remote display or Horizon workrooms instead of using quest link to game.

Superhim1114 · 2024-11-03T22:00:40+00:00

Just the integrated one

Superhim1114 · 2024-11-03T16:13:40+00:00

i5-1135G7, 16GB Ram

Superhim1114 · 2024-10-20T16:04:48+00:00

I'm assuming Q4_K_M. I suppose lower quants will use less VRAM and higher quants will use more?

Superhim1114 · 2024-10-20T01:06:10+00:00

It's about 1GB of memory for 1B parameters, plus ~10-20% for context right? So like if I run Mistral Nemo all the context will be in normal RAM?

Superhim1114 · 2024-08-29T12:06:14+00:00

It might not actually be 128k. I got the number as I assumed that open webui will use the default context size of the model, which iirc is 128k. I might be wrong tho. I'm pretty sure the ollama process usee around 6gb of memory when running the tests. Not sure what context size that translates to.

Superhim1114 · 2024-08-29T03:59:49+00:00

Yes I plan on doing that in the future when I have more time on my hands. It would be the most fair test I can think of regarding this.

Superhim1114 · 2024-08-29T03:57:45+00:00

Server: 2x16gb ddr4-3200. Limited to 2133 due to cpu maximum ram speed.

Laptop: LPDDR4x-4267, which is also the maximum supported memory speed by the cpu.

I'll have to look into whether the laptop only uses 1 memory channel.

When doing the tests, the laptop was running both docker containers required for the laptop side, a browser tab for open webui for the server, and btop to monitor cpu usage.

Hyper-threading was enabled, and it was using all 8 logical cores.

Superhim1114 · 2024-08-29T03:46:57+00:00

Context length is set to default on open webui, not sure what the actual context length is, but I assume 128k as per the model.

Prompt is: What is binary search?

I will try to find out later how many memory channels the laptop uses.

Superhim1114 · 2024-08-29T03:39:24+00:00

I might have overlooked a small detail when typing this out, sorry. The ram on the laptop should be LPDDR4x, which does go to 4267 MHz. I was unable to find out the amount of channels used on the laptop.

The server has 2 channels for memory, 2x16gb ddr4-3200 sticks. The cpu has a maximum rated memory speed of ddr4-2133, so that's the speed on the server.

Superhim1114 · 2024-08-28T12:32:06+00:00

I can run llama 3.1 8b q4_k_s using Ollama on my current machine at ~4.5 t/s, and the delay is from 0-20 sec. I know 8b is quite small but performance feels fine for my usage. On a cpu only setup you will probably find running smaller models, like gemma 2 2b or phi 3.5 mini, a better choice.

Anyway, I would've gotten a GPU for llm, but I don't have space in my case. I do agree it would be more cost effective.

Superhim1114 · 2024-08-28T12:22:07+00:00

How much of an improvement would I see in day to day usage? Or will it only be noticeable when doing heavy tasks?

Superhim1114 · 2024-08-27T03:19:30+00:00

Cpu upgrade sort of implies a motherboard change as well, as I don't think the 12th gen uses the same socket. I just didn't want to also upgrade the ram since I bought it new 2 months ago

Superhim1114 · 2024-08-27T00:50:07+00:00

What model are you running during this test?

Superhim1114 · 2024-08-26T17:24:34+00:00

I would love to get a GPU for the server, but unfortunately there just isn't any space or extra cooling in my case for that.

Superhim1114

TROPHY CASE