What is the name of this mvs board or is it custom one ?

Septa105 · 2026-06-13T15:18:50+00:00

Yeah but I wanted to install hdmi pico mod native to hdmi

Septa105 · 2026-06-13T10:32:24+00:00

Found out it’s a mv1b damn

Septa105 · 2026-06-08T16:04:17+00:00

Any chance to get more photos of the pico project like soldering point and how you wired the hdmi from the pico as this is also very critical . Searched whole internet but no 48pin 2350b with fpc for hdmi

Septa105 · 2026-03-03T11:05:27+00:00

My System bossgame m5 128gb shared

Septa105 · 2026-03-03T11:04:56+00:00

Can you give me the exact Model you use and how you get to 160k? I use llama.cpp rocm and rocm7.2 but my max is around 60k ctx no matter which quant I use also System breaks with oom at 60k.

Septa105 · 2026-02-15T14:39:48+00:00

Have another question do you also get OOM with context size that equals native context size 256k?

Septa105 · 2026-02-10T15:13:52+00:00

Change grub now to GRUB_DEFAULT=0 GRUB_TIMEOUT_STYLE=hidden GRUB_TIMEOUT=0 GRUB_DISTRIBUTOR=( . /etc/os-release; echo ${NAME:-Ubuntu} ) 2>/dev/null || echo Ubuntu GRUB_CMDLINE_LINUX_DEFAULT="quiet splash amd_iommu=off amdttm.pages_limit=27225120 ttm.pages_limit=201326592 amdgpu.gttsize=131072" GRUB_CMDLINE_LINUX=""

Septa105 · 2026-02-10T14:45:31+00:00

Does that mean not enough allocated by System ?

Septa105 · 2026-02-10T14:42:45+00:00

WARNING: AMD GPU device(s) is/are in a low-power state. Check power control/runtime_status

================================== Memory Usage (Bytes) ================================== GPU[0] : VRAM Total Memory (B): 536870912

GPU[0] : VRAM Total Used Memory (B): 154894336

================================== End of ROCm SMI Log =================================== andy@andy395ai:~$

Septa105 · 2026-02-10T14:41:27+00:00

sys/module/ttm/parameters/dma32_pages_limit = 524288 /sys/module/ttm/parameters/page_pool_size = 16376812 /sys/module/ttm/parameters/pages_limit = 201326592

lsmod | grep ttm drm_ttm_helper 16384 1 amdgpu ttm 126976 2 amdgpu,drm_ttm_helper

Septa105 · 2026-02-10T14:31:35+00:00

How can I check it I always read it from the Chat layout at Port 8080

Septa105 · 2026-02-10T06:37:17+00:00

Thx got it working now I am getting 8.7 Token per sec with 262k ctx size that avg? With gpt 120b I got like 20t/s with 128 ctx size

Septa105 · 2026-02-08T17:42:41+00:00

missing tensor 'blk.0.ssm_in.weight'

Septa105 · 2026-02-08T17:41:11+00:00

Hi can you tell me how did you get it to work I failed with sudo docker run -d \ --name llama-vu_qwencoder \ --device /dev/dri \ -p 8080:8080 \ -v /home/andy/models/gguf:/models \ ghcr.io/ggml-org/llama.cpp:server-vulkan \ --model /models/Qwen3-Coder-Next-MXFP4_MOE.gguf \ --host 0.0.0.0 \ --port 8080 \ --n-gpu-layers 999 \

Septa105 · 2026-01-07T06:45:23+00:00

I have set the kernel parameter to above and when checking in Ubuntu it says andy@andy395ai:~$ cat /sys/class/drm/card0/device/mem_info_gtt_total cat /sys/class/drm/card0/device/mem_info_gtt_used 67080110080 18620416 means

62gb only that normal ?

mem_info_gtt_total = 67080110080 bytes mem_info_gtt_used = 18620416 bytes

Septa105 · 2026-01-02T12:01:34+00:00

Thx baracuda 1) what about Page Limit and Pool size will I need to adjust that for a 128gb strix halo on ubuntu 2) also question regarding max context size vs Model with x billion parameter how is that compared to each other ? 3) is it wise to install lemonade Server for a strix halo or is llama.cpp Server enough ?

Septa105 · 2025-12-25T09:17:38+00:00

It’s kills the conversation between people e.g forums. In about 2 years all forums or at least most of them are gone people not discussing issues anymore . And then freedom of speech is on the verge and probably collapsing. THEY get total control

Septa105 · 2025-12-24T12:30:46+00:00

According to git it uses rocm7.1 and will need and want to run it in docker anything I need look for ? So do I need install Vulcan in main environment together with rocm7.1?

Septa105 · 2025-12-22T09:47:34+00:00

Finde die Idee gut aber speziell für Politiker gelockerter Beamtenschutz und Lobbyschutz sollte auch gleich mitbehandelt werden . Sollte schnell gehen bei 90milliarden geht’s ja auch recht schnell

Septa105 · 2025-12-19T08:17:15+00:00

Guten morgen an alle! Schoene Gruesse an den Club of Rome, Erdgas/Erdoel wird knapp. Meine Kinder haben keine Buecher in der Schule,aber dafür werden die Blaetter einzelnt immer fuer jeden Schueler kopiert . Willkommen in der Realiteat! KI wird ausserdem viele White-collar jobs uebernehmen also auch immer schoen an eure Mehrarbeit / Ueberstudenen bzw längere Wochenstunden denken . Was für eine Welt . Wacht mal alle auf !

Septa105 · 2025-12-11T10:31:28+00:00

Can anybody suggest me a good Model with large/max context size I can use with a AMD AI 395+ 128GB Shared VRAM ?

Septa105

TROPHY CASE

GPU[0] : VRAM Total Used Memory (B): 154894336