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qwen3-32b-p300x2
stisiTT/qwen3-32b-p300x2
qwen3-32b-p300x2 is a machine learning model from stisiTT. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Qwen3-32B is a dense instruction and reasoning model for general chat, coding, and tool use, served on a four-chip Tenstorrent Blackhole mesh.
Access
Public
Updated Sep 10, 2026
Repo size
3.9 GB
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At a glance
- Access
- Public
- Created
- Sep 9, 2026
- Updated
- Sep 10, 2026
- SHA
- 82f2994d
Model card
From the Hugging Face model README
qwen3-32b-p300x2
Qwen3-32B is a dense instruction and reasoning model for general chat, coding, and tool use, served on a four-chip Tenstorrent Blackhole mesh.
Runs on p300x2 (mesh P300x2) — 131,072-token context, up to 32 concurrent sequences.
Packaged and published with tt-model-manager 0.1.0 (manifest schema 5.1).
Quickstart
tt-model pull stisiTT/qwen3-32b-p300x2 --with-weights
tt-model serve stisiTT/qwen3-32b-p300x2
pull --with-weights downloads the Docker image and the Qwen/Qwen3-32B weights at 9216db5781bf21249d130ec9da846c4624c16137 (into your HF cache; they are not in the image). serve starts an OpenAI-compatible server on port 20000 (or the next free port, if that one is busy); the first start compiles kernels for your device, which takes several minutes, and the server is ready when it logs Application startup complete.
Provenance
The exact sources the image was built from — code/ in this repo is byte-identical to the model code inside the image:
| component | built from |
|---|---|
| tt-metal | 7d54a363f0cb5ccb0fc0ff8a63fb35398a4ba0b4 (dirty tree — the image includes uncommitted changes) |
| vLLM | v0.26.0 |
| vllm-tt-plugin | a local checkout — commit not published |
code/ digest | 2c329baf1a4b0bea (sha256, first 16 hex digits) |
| built | 2026-09-10T01:37:02+00:00 by tt-model 0.1.0 |
- Created
- Sep 9, 2026
- Updated
- Sep 10, 2026