Qwen3-Next-80B-A3B-Instruct, Swiftlet .qpack container (4-bit)
This is Qwen3-Next-80B-A3B-Instruct (MLX 4-bit quantization, group size 64)
repacked into the .qpack streaming container for
Swiftlet, a Swift + Metal runtime
that runs large Mixture-of-Experts models on ordinary Apple Silicon by
streaming experts from storage instead of loading them into RAM.
Measured on a base M5 MacBook (24 GB):
| Metric | Value |
|---|---|
| Disk | 42 GB |
| Peak RAM | 4.3 GB (2 GB expert cache) |
| Decode speed | 4.5 to 5.3 tok/s |
| First token | about 5 s on a short prompt |
This model is for Macs. iPhones do not have the storage for it; the phone model is Qwen3.6-35B-A3B-qpack.
How to use
git clone https://github.com/leonickson1/Swiftlet.git && cd Swiftlet
swift build -c release
# Download this container (resumable):
.build/release/swiftlet-repack \
--from-hf Leonickson/Qwen3-Next-80B-A3B-qpack \
--output ~/models/qwen3-next-80b.qpack
# Chat:
.build/release/swiftlet chat ~/models/qwen3-next-80b.qpack \
"Who are the main characters in The Big Bang Theory?"
Notes
- The parameter count shown in the Hugging Face sidebar reflects only the
small resident file (
model.safetensors); the routed experts live inpacked_experts/and bring the true total to 80B parameters. - Weights are byte-identical to the MLX community 4-bit conversion; the container only reorganizes them for single-read expert access.
- Weights are governed by the Qwen license terms (Apache 2.0).
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Model tree for Leonickson/Qwen3-Next-80B-A3B-qpack
Base model
Qwen/Qwen3-Next-80B-A3B-Instruct