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Posted by kristianpaul 6 hours ago

llama.cpp(llama.app)
239 points | 101 commentspage 2
jurgenburgen 39 minutes ago|
There’s now a `llama serve` command? I had to do a double take in case I was reading the `ollama` website.
nexawave-ai 4 hours ago||
I think I can probably run Gemma 3 12B on my macbook M3 pro with 18GB. The question is, should I do it? This small model is probably not capable of doing a lot or advanced coding or reasoning. What else could it be used for, since it can run locally and privately?
kennywinker 3 hours ago|
A quantized Qwen3.6-35B-a3b can run in a similar footprint to gemma 12b, but is smarter. It can do coding tasks, if you specify them at a finer-grain than with bigger models.
dlcarrier 5 hours ago||
I tried to run in on my Arc A770, but all of the binary releases I could find were compiled without OpenVINO support enabled. I tried compiling it myself, but after two days of the compiler running it failed.
madushan1000 5 hours ago||
Two days sounds like a lot, both llama.cpp and openvino only takes a few minutes to compile on any decent modern cpu.
walrus01 4 hours ago|||
the full set of llama.cpp binaries builds in under 5 minutes with an unmodified build workflow straight from their github page on a literally ten year old dual xeon.
gnull 4 hours ago|||
It also even easier to get working and integrate into your system in a sustainable manner with NixOS. Do it by hand or throw an LLM at it, it will get you a declarative patch for your NixOS config that brings llama-cpp into your config that you can review and add under version control (no random `make install` build artifacts contaminating your system, no wondering "what was it that I ran? what are all these files? how do I do the same with a newer version?" a couple months later). There's also likely some build cache where Nixoids have already build what you want.

I had a great experience with llama-cpp with Nvidia backend on NixOS.

(Sorry for being that guy.)

numpad0 4 hours ago|||
I don't know how it works, but does Vulkan not work on Arc?
cptskippy 3 hours ago|||
Does the A770 use the Xe driver? If so then it might work with the scripts that I've been using to build llama.cpp with SYCL support for the Arc Pro B70.

https://github.com/cptskippy/battlemage-llm-gateway

It's designed so that you can re-run the scripts to pull the latest updates. When Muse Glimmer was released the other day I just ran the 02 script to build the latest version of llama.cpp with support for it.

OpenArcBob 3 hours ago||
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sylware 1 hour ago||
Any success at transpiling it to C? Using the cfront transpiler improved with coding AI? :)
halyconWays 4 hours ago||
llama.cpp is like the ffmepg of AI, and one of the reasons I so greatly dislike ollama is that the latter completely obfuscates that they're a rebrand of the former. Georgi Gerganov and team did all the hard work; ollama is langchain-like VC-bait with a HF download wrapper.
woadwarrior01 3 hours ago||
ICYMI, llama.cpp was also VC funded. Search for "ggml" on this page:

https://aigrant.com

kennywinker 3 hours ago|||
llama.cpp will happily download models from hugging face, btw.
woadwarrior01 2 hours ago||
Huggingface now owns llama.cpp, btw.

https://huggingface.co/blog/ggml-joins-hf

antonvs 4 hours ago||
> No telemetry

Must be tough not to be able to monitor your own models!

(The odds that that tagline was AI-generated seem high.)

tancop 3 hours ago|
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blahblaher 3 hours ago||
and? whats the point of this? Doesn't everyone already know about llama.cpp?
HelloUsername 2 hours ago||
The last time this was posted was in May 2026 (https://news.ycombinator.com/item?id=48325941), and before that March 2023 (https://news.ycombinator.com/item?id=35100086). Maybe those were the times you learned about it? Nothing wrong with letting new people know about it too now and then.
Maxious 2 hours ago||
no, if everyone knew about llama.cpp, ollama would be done already
Serveurperso 3 hours ago||
[flagged]
whateveracct 4 hours ago|
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