Kimi-K3-minirun
The weights of
moonshotai/Kimi-K3 at revision
9f62e4e9fffbd0a83ddd60e1c209d828994b3569, repacked byte for byte into the container format
Minirun reads. Minirun streams this model from an external SSD on
Mac and iPhone through a memory budget you set, rather than loading it into
memory, so the model does not have to fit in the machine. The reader is open
source:
Sources/StorageCore/Container/ in
nanguoyu/minirun-app.
What this is
A byte-preserving repack. No requantization, no retraining, no numerical
change of any kind:
- the routed expert weights are the upstream MXFP4 packed values and their
e8m0 scales, copied verbatim and only reordered;
- all non-expert tensors are the upstream BF16/F32 bytes, copied verbatim.
The container files are therefore a rearrangement of the source bytes. Every
value in this repository originates from the pinned revision above.
Contents: 93 layer directories, 372 container
files, 1.56 TB total, plus a per-layer manifest
describing offsets and shapes. Vision tensors (vision_tower.*,
mm_projector.*) are not included; this is the text stack only.
Run it with Minirun
Get the app. On a Mac, download
Minirun.dmg. On an iPhone,
build it from
nanguoyu/minirun-app; the README there has the
steps.
Point it at this repository. In Settings → Storage, use Add a folder…
to register a folder on an external NVMe drive. In Settings → Models, open
Find Models, select this repository and press Download -- or point Minirun
at a copy you already have. Run Verify all files, then start a chat.
What to expect.
| |
|---|
| On disk | 1.56 TB |
| MacBook Pro (M1 Pro, 32 GB, USB4 enclosure) | ≈ 70 s / token at an 8 GB budget |
| iPhone 16 Pro (USB 3 port, powered dock) | ≈ 220 s / token at a 5.8 GB budget, replies capped at 2 tokens per turn |
The iPhone figure is a demonstration that the size ceiling is gone, not a way to
chat. Speeds change with the drive, the cable and the budget; the enclosure and
cable matter more than the SSD — USB4 against a 10 Gb/s hub is about 3× on the
same bytes — and the iPhone needs a powered dock.
Requirements. An Apple-silicon Mac on macOS 15 or later; an iPhone 15 Pro or
later on iOS 18 or later; an external NVMe drive with room for the model.
Provenance
| |
|---|
| Source model | moonshotai/Kimi-K3 |
| Source revision | 9f62e4e9fffbd0a83ddd60e1c209d828994b3569 |
| Relationship | byte-preserving repack (no requantization) |
License
This repository redistributes model weights owned by Moonshot AI under the
Kimi K3 License, reproduced verbatim in
LICENSE and copied
unmodified from the source repository at the pinned revision above.
Copyright (c) 2026 Moonshot AI.
Two clauses of that licence apply to anyone using these files downstream, and
are highlighted here rather than left to be discovered:
- §2 — Model as a Service. If you (or your affiliates) operate a Model as a
Service business and your aggregate revenue exceeds US$20 million over any
consecutive 12 months, you must enter into a separate agreement with Moonshot
AI before any commercial use of these weights or works derived from them.
- §3 — Attribution on the interface. If you use these weights in a
commercial product or service with more than 100 million monthly active users
or more than US$20 million in monthly revenue, "Kimi K3" must be prominently
displayed in that product's user interface.
§4 exempts purely internal use. The weights are provided "as is", without
warranty of any kind, per §5. Refer to
LICENSE for the governing
text; the summary above is not a substitute for it.
