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colibri: frontier MoE models on hardware you already own?
The claim“Run frontier MoE models (hundreds of billions of parameters) on hardware you already own: pure C, experts streamed from disk”
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Review lives at rockytested.com · @RockyTested


AI models Rocky · in the lab
With vs without
No with-skill pass count is on file.
No baselinebaseline The normal way of doing the same job, used as the yardstick. Rocky compares every claim against a baseline on the same machine. Glossary pass count is on file.
Usefulness is a separate question from “does the repo exist.” It needs the same task run twice. Until that A/B is published, both cells stay blank.
What the test plan says
Smoke first: build the pure-C engine and run its `--list`, which reports which models fit this machine and why. A real streamed run of a large model, measuring tokenstoken The small chunks a model reads and writes. One token is roughly three-quarters of an English word, so 100 tokens is about 75 words. Glossary · Learn more/second, is queued as a heavier claim testclaim test Rocky measures the headline claim ("10x faster!") on real tasks against a baseline. Glossary.
Four verdicts
One stamp is not the whole story. Works, Safe, Claims honest, and Provenance are four separate written calls. A missing call stays “not tested yet.”
No written call is on file. This is not a pass.
No written call is on file. This is not a pass.
No written call is on file. This is not a pass.
No written call is on file. This is not a pass.
Safety is a hard cap. If Safe is no, the Rocky Score cannot rise above 44 (grade F), even when the tool works. A blank Safe card means not tested yet, not safe. How the four verdicts roll up →
| Claim part | Measured | Result |
|---|---|---|
| The claim | Measuring… | measuring |
What it is: A pure-C engine that keeps a model's dense parts in RAM and streams its experts from disk, to run huge mixture-of-experts models on ordinary hardware. Rocky first builds it and reads its honesty about what fits; the big streamed run comes later. Claim source →
Results coming. Here’s what Rocky will measure
- Does the engine build
- Does `--list` report what fits this machine
- Tokens/second on a real streamed model (claim run, queued)
Smoke first: build the pure-C engine and run its `--list`, which reports which models fit this machine and why. A real streamed run of a large model, measuring tokens/second, is queued as a heavier claim test.
Sneak peek
- Smoke test: the pure-C engine built in about 38 seconds, and --list rated these models a good fit for this machine: DeepSeek V4 Flash (167 GB), MiMo-V2.6 Flash, Qwen3.8-Flash-Next, GLM-5.2/5.3, Inkling and MiMo-V2.6 Pro.
- Its list itself says Kimi K3 (1,561 GB) needs more free disk than this box has.
- Speed tests are queued: Qwen3.6-35B70B / 9B (parameters) B means billion parameters, the numbers a model learned. 70B = 70 billion. More parameters usually means smarter but much bigger and slower. Glossary · Learn more-A3B, then DeepSeek V4 Flash (284B) in a 32 GB RAM cap.
Claim ledger
Every distinct claim in the pitch gets a row: what was said, what the command said back. 1 claim on the ledger: 1 not measured. No separate ledger file yet, so these rows are the review's claim list only. “Not tested” means that claim has no measurement.
- ? Not tested
“Run frontier MoE models (hundreds of billions of parameters) on hardware you already own: pure C, experts streamed from disk” source
🔍 Coverage: Not stated yet. Rocky only lists the parts a run actually checked.
⚗️ Unproven usefulness. Counting and parsing can settle what the repo claims. It can't settle whether the thing actually helps — that takes an A/B run (same task with and without it), which hasn't happened yet.
Rocky's take
Rocky's take is drafted only from measured results: what the tool is good for, and where it will fail you. Until those results exist, this stays blank. Nothing here is guessed.
Where this repo comes from
Provenance is age, authors, commitcommit One saved version of a repo's code. Rocky pins the exact commit so anyone can rerun the same code. Glossary · Learn more bursts, and where the README sends you. It is published only from commands Rocky ran. Nothing is guessed, so this section stays blank until that file exists.
Score
Not scored yet. A Rocky Score is a rollup of measured subscores only. This review does not have one, and no grade is filled in to hold the place.
Rerun it yourself
📦 When the test is done, the exact scripts, raw results and a copy-paste prompt for your own AI agentAI agent An AI that takes actions in steps (runs commands, edits files, browses) instead of only chatting. Glossary · Learn more will appear here.
Repo & thanks
Where the claim was posted
Colibri is a pure C inferenceinference Using a trained model to get answers (as opposed to training it). Glossary · Learn more engine that runs MoE models up to 2.8 trillion parameters on consumer hardware by treating storage, RAM, and VRAMVRAM / GPU memory The memory on a graphics card. A "4 GB card" has 4 GB of it. Models normally have to fit here to run fast. Glossary · Learn more as a single hierarchy. https://github.com/JustVugg/colibri
Counts as of (Rocky's last check)
Where else this repo is talked about
On X: 1 posts linking the repo
Posts from to , in several languages. Found with X search for links to the repo; more may exist. Oldest first:
- Earliest we found @tom_doerr Colibri is a pure C inference engine that runs MoE models up to 2.8 trillion parameters on consumer hardware by treating storage, RAM, and VRAM as a single hierarchy. https://github.com/JustVugg/colibri❤️ 162 · 🔁 22 · 📊 10K open
All 1 posts, oldest first
- Earliest we found @tom_doerr Colibri is a pure C inference engine that runs MoE models up to 2.8 trillion parameters on consumer hardware by treating storage, RAM, and VRAM as a single hierarchy. https://github.com/JustVugg/colibri❤️ 162 · 🔁 22 · 📊 10K open
Ran it yourself?
Share your rerun
- Download the rerun bundle above.
- Run it, or paste the prompt into your AI agent.
- Post your
results.json(a gist is fine) and reply to @RockyTested with the link.
Rocky reruns or spot-checks every submission before it counts. Verified reruns will appear here with your handle.
🏅 Helper leaderboard
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Badge & stat card
Put the verdict badge in a README or post. It always links back to the measured results.
[](https://rockytested.com/reviews/justvugg-colibri/)
Machine-readable: /v1/reviews/justvugg-colibri · Words with a dotted underline have a quick explanation: hover or tap. Glossary


