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afk_strats

@ afk_strats @lemmy.world

Posts
4
Comments
159
Joined
3 yr. ago

  • Planning to upgrade GPU from Nvidia to AMD. Any pitfalls I should know about?

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  • Yep yep

  • Planning to upgrade GPU from Nvidia to AMD. Any pitfalls I should know about?

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  • I game on a 7900xtx on CachyOS and it's perfectly fine. Cachy will take care of the drivers 100% so it's just plug and play. Better than my previous 3080ti. No driver issues or whatever. LMK if I can answer any questions

  • MODS ARE ASLEEP POST AI ART

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  • Can anyone explain the Lore for me?

  • GPU bifurcation - options

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  • I use a lot of PCIe extenders to abuse my consumer motherboard with too many GPUs. You should be fine as long as your processor and chipset have enough lanes and power. Cheap extenders can be had for like $10.

  • Out Loud - Free , offline text-to-speech AI

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  • This seems to be a wrapper over Kokoro which is an Apache-licenced TTS model and library which has been out for over a year. That model lists about 10% of its approx 1000-hour training data but also says that all of its training data was CC, synthetic (by way of closed source TTs), or otherwise permissively-licensed.

    huggingface kokoro

  • TIL reggae singer Shaggy, known for "Boombastic", developed his signature singing voice as a US Marine by mimicking his drill instructors.

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  • Depends on how old you are

    Edit: ... old or very old?

  • My models don't have reasoning ability in llama-b9543 server but have in llama-cli

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  • I noticed the same thing. I went and tried it just now and found that there's a reasoning switch on the web ui (it looks like a light bulb in the chat box💡). It defaults to off

  • Anyone's using Intel Arc B70 Pro?

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  • I find llama.cpp with Vulkan EXTREMELY reliable. I can have it running for days at once without a problem. As far as tokens/sec that's that's a complicated question because it depends on model, quant, sepculative, kv quant, context length, and card distribution. Generally:

    Models' typical speeds at deep context for agentic use. Simple chats will be faster

  • Deleted

    Permanently Deleted

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  • I've used Gemma4-31B for agentic coding and its actually very good as far as local models go. Its less verbose than qwen3.5 so it ends up being faster too. Gemma4-26B can do agentic but its noticeably worse so you have to go slow with it. I haven't had any coherence issues like other commenters mention but I've only been using higher quality quants from unsloth on llama.cpp

  • Anyone's using Intel Arc B70 Pro?

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  • I wish I bought an epyc board last year instead of my rig. Would have been far fewer headaches and, with the price of RAM, I would have quintupled in value now!

  • Anyone's using Intel Arc B70 Pro?

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  • This is something I learned the hard way.

    Consumer hardware is limited by multiple factors when it comes to PCIe connectivity.

    • Physical layout. Easy how many slots you have to plu into, their size, and configuration.
    • Supported lanes from the CPU
    • chipset (motherboard) limitations

    Your graphics card might be a 16 lane card (referred to as "x16"), but sometimes, not all of them are used. Aforementioned 5060ti - I believe only uses x8. Some devices like graphics cards can use a physically smaller slot with an adapter for a loss in performance (a few frames in game play performance)

    Similarly, your motherboard might have a x16 slot and another x16 at the bottom. That second slot might only function as x8 or even x4. Does this matter? Sort of. Inta-card communication aka peer to peer communication can affect affect performance and that can compound with multiple cards.

    Even worse, some motherboards may have all sorts of connectivity but may have limitations like only 2 out of the bottom 4 slots, PCIe and m.2, can work at a time. ASK ME HOW I KNOW.

    Your CPU controls PCIe. It has a hard cap in how many PCIe devices it can handle and what speed. AMD tends to be better here.

    Enterprise gear suffers from none of this bs. Enterprise CPUs have a ton of PCIe lanes and enterprise motherboards usually match the physical size of their PCIe slots to their capacity and support full bifurcation*

    PCIe lanes are used up by and consumable by m.2, MCIO, and occulink to name a few. That means that you can connect a graphics card to either one is those of you can figure out the wires and power**

    • ** Bonus: bifurcation and how my $200 consumer motherboard runs 6 graphics cards.

    Bifurcation is a motherboard feature that lets you split PCIe capacity, so a 16x slot can support two x8 devices. My motherboard lets me do this on just the main slot and in a strange x8x4x4 configuration. I have an MCIO adapter (google it) which plugs into the PCIe and gives me 3 PCIe adapters with those corresponding speeds.

    it also has 2 m.2 slots which connect to the CPU. One is them, I use for a nvme ssd like a normal person. The other is an m.2 to PCIe adapter which gives me an x4 PCIe slot. For those keeping track, that's 24 PCIe lanes so far. That's the maximum my processor Intel 265k can handle

    But wait! The motherboard also has a kind of PCIe router and that thing can handle 8 more lanes! So I use the bottom 2 PCIe lanes on my motherboard for 2 cards at x4 each. The thing that kills me is that there are more m.2 ports. But the mobo will not be able to use any more than 2 devices at once. AND even though that bottom PCIe slot is sized at x16, electrically, its x4.

    Do your research (level1techs is great) and read the manuals to really understand this stuff before you buy

    My mobo for reference ASUS: TUF GAMING Z890-PRO WIFI

  • Anyone's using Intel Arc B70 Pro?

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  • Vulkan helps with speed. Must benchmarks prove that out. Concurrency is a mixed bag. You can get some with llama.cpp bit vllm is concurrency king.

    Just a couple of weeks ago llama.cpp released tensor parallelism which helps, but its still a experimental feature.

    Unfortunately, I don't know of any diffusion runners that work in vulkan. If someone has expertise, let me know!

  • Anyone's using Intel Arc B70 Pro?

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  • I'm going to be brutal with you. I spent a few thousand dollars on 176GB of AMD vram because I was happy with getting vram for cheap and I hate Nvidia. It works and its nice to be able to run bigger models at usable performance, but if you need serious concurrency or good support for diffusion, you NEED Nvidia. AMD(and likewise Intel) just doesn't have the environment support for non-server GPUs. Again, coming from someone who's using this shit daily.

    If you understand this limitation, then yes those B70s are cool as are AMD Pro 9700 which might have slightly better support rn. You may consider nvidia V100s which are old and cheap. I always recommend people start with 3090s (as a general powerhouse) or a pair of 5060tis (for really hood llm support) though. It will make your life easy if you can afford the vram limitation

  • Google releases Gemma 4 open models

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  • Google releases Gemma 4 open models

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  • I've done some testing with the two large models and my initial impression is that they seem very similar in quality to Qwen3.5 35B and 27B. Some notable exceptions:

    1. llama.cpp has speculative decode support on day 1 and it speeds performance noticeably.
    2. Day 1 base model release will undoubtedly lead to faster finetunes

    Can't wait for the inevitable Claude/Gemini distils.

    My verdict is that even though these models benchmark slightly lower then their Qwen equivalents, their performance and support will likely drive me to pick them.

  • Welcome to the future!

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  • Popular imagery?

    Edit. Ugh sorry for posting AI without warning. Can't believe I was fooled by a signature

  • Has a job ever baited and switched you? Tell me about it!

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  • "unlimited PTO"

    *looks inside

    ”4 weeks of PTO unless you have VP approval except you'll never get it”

  • backups

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  • An untested disaster recovery plan is wishful thinking

  • Progress Report: Linux 6.19 - Asahi Linux

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  • As always, this is incredible engineering. I'm so excited that M series macs have a supportability path beyond Apple's proprietary support

  • linuxmemes @lemmy.world
    afk_strats @lemmy.world

    2025, My Year of The Linux Desktop

  • Linux @lemmy.ml
    afk_strats @lemmy.world

    Is a daily-driver computer built on top of a hypervisor a bad idea?

  • LocalLLaMA @sh.itjust.works
    afk_strats @lemmy.world

    AI and You Against the Machine: Guide so you can own Big AI and Run Local - YouTube

  • Selfhosted @lemmy.world
    afk_strats @lemmy.world

    Ideas for Hosting on a 2009 Netbook?