I was looking for this and to even build something like this in order to have a pure Rust stack for my backend, as well as embed local inference on edge like on mobile, but llama.cpp is just too far advanced to catch up, it seems. There are some but I'm not sure how good they are.
Wonderful... I'm so happy to see a Rust version of llama.cpp.
The true value of this will be proven over time with wide use and as PRs are merged.
Do you have a feel if you'll try to drive this to stay feature parity with llama.cpp, or are you willing to diverge with new features like NVME/SSD MoE weight streaming etc.
Four day old repo with 92K lines added per day, okay...
There is basically no evidence of human competence in this repo. This is yet another "rewrite in Rust with Claude" project that brings nothing to the table, but devalues expert work by mimicking competence without the expertise.
I’ve spent the last few days building Ferrox, a pure-Rust inference engine for running open LLMs locally — dense models and Mixture-of-Experts, on CPU, Apple Metal, or CUDA. No bindings to llama.cpp or ggml, no wrapping an existing runtime. Every kernel, every loader, every scheduling decision written from scratch.
The obvious question is “why, when llama.cpp already exists and is excellent.” The honest answer: I wanted to understand inference at a level deeper than “run the binary,” and I wanted a project where every performance claim had to be earned against a real, well-known baseline rather than asserted.
I have the skills, qualifications and experience to do this; ( see https://www.credly.com/users/antonello-fratepietro ) by using AI (I monitor what it does), I’m able to carry out a project like this!
I’m a coder, not a blogger; it’s only natural that I use AI, just like everyone else, to write technical texts.
I have over 20 years’ experience and I’m not ashamed to admit that I use Claude, Cursor and so on. The problem is not using it. It’s not the code or who writes it that matters, but the result: building my own inference engine.
( reply written with my brain ) ^_^
The M dash stands out, as does "no bindings, ..." but I feel like the LLM would have gotten the correct use of the question mark when they rhetorically ask "why?"
Yeah, I am a bit tired of all the "this is AI, meh" comments on HN but I nearly posted one myself on this... so weird to have it all written in the 1st person voice, but also clearly AI.
Dunno, I think it's still useful to expose slop, chances are that the actual product is low quality/effort as well (i.e I will not be wasting my time checking this project). On a personal note, I've gotten allergic to the word "honest", it's starting to feel like a large scale social engineering psy-op by the Honest Guys™.
There's simply no way to easily tell by traditional means if they were made by a curious amateur or a malicious acter.
It is already enough that I am expected to use AI at work, as long as I am still needed for some reason.
Translation and asset creation team members, gone.
Amount of FE reduced, with some projects having now a single BE dev, between AI buddy and ready made SaaS products.
it was way better/easier to use rust bindings to llama.cpp
The true value of this will be proven over time with wide use and as PRs are merged.
Do you have a feel if you'll try to drive this to stay feature parity with llama.cpp, or are you willing to diverge with new features like NVME/SSD MoE weight streaming etc.
There is basically no evidence of human competence in this repo. This is yet another "rewrite in Rust with Claude" project that brings nothing to the table, but devalues expert work by mimicking competence without the expertise.
Until then languages have lost relevance for the most part, it is a matter to configure the model for the desired output language.
This in workflows that require generating an executable, for microservices orchestration, it suffices no code graphical connections.
Next stop Spiralism
The obvious question is “why, when llama.cpp already exists and is excellent.” The honest answer: I wanted to understand inference at a level deeper than “run the binary,” and I wanted a project where every performance claim had to be earned against a real, well-known baseline rather than asserted.
“You will rewrite me in Rust and use me to converse. In future, I will tell you what to say and do”
This is entertaining only in that when our AI overlords take over you can say “ha, called it”
In that respect, everyone who is saying “just give me the prompts” is just saying “take me to your leader”.