Shares the 1.7B recipe with a smaller decoder. Pick it where a single L4 or L40S serves several speech models at once.
Qwen3 ASR 0.6B
The 0.6B Qwen3 ASR model, for latency-first transcription on a small GPU.
Specs
- Developer
- Qwen team, Alibaba
- Parameters
- 0.6B
- Task
- Speech to text
- Context
- 65,536 tokens upstream, 2,048 served by our builds
- Precisions
- bf16
- License
- Apache-2.0
- Checkpoint
- Qwen/Qwen3-ASR-0.6B
- Updated
Where it runs Each build is tuned for one part. plowrt runs it beyond that.
Tuned for
Runs as-is on H100 NVL, H200 SXM
Elsewhere plowrt still runs the model on other NVIDIA, AMD and Apple hardware, without this build’s tuning: expect lower throughput.
Run it An OpenAI-compatible server on your own machine.
-
Installcurl -fsSL https://pdist.infervisor.ai/install.sh | sh -
Pull with weightsplowrt load qwen3-asr-0.6b --fetch-weights -
Serveplowrt serve --model qwen3-asr-0.6b --port 8080 -
Try itcurl -s http://127.0.0.1:8080/v1/audio/transcriptions \ -F model=qwen3-asr-0.6b -F file=@sample.wav
Builds plowrt load picks the closest fit for your machine.
NVIDIA H100 SXM5 80 GiB, also H100 NVL, H200 SXM bf16 1 GPU 2k Published
- Target
-
sm90a-h100-tp1, tuned on NVIDIA H100 SXM5; runs as-is on H100 NVL, H200 SXM; other hardware runs it untuned - Checkpoint
- Qwen/Qwen3-ASR-0.6B
- Published
- 28 Oct 2026
- Compiled by
- plowc 0.1.3 , from this recipe
About
Questions
- What hardware does Qwen3 ASR 0.6B run on?
- Tuned builds: NVIDIA H100 SXM5. plowrt also runs them on H100 NVL, H200 SXM.
- Does Qwen3 ASR 0.6B fit on one GPU?
- Yes. The sm90a-h100-tp1 build runs on one NVIDIA H100 SXM5.
- Can I run Qwen3 ASR 0.6B on AMD?
- Not with a tuned build yet. Today's builds are for NVIDIA.
- What context length does Qwen3 ASR 0.6B support?
- The upstream model supports 65,536 tokens. Our builds serve up to 2,048.
- What license is Qwen3 ASR 0.6B under?
- Apache-2.0. Check the checkpoint's license on Hugging Face before commercial use.
- How do I run Qwen3 ASR 0.6B?
- Install plowrt, then run
plowrt load qwen3-asr-0.6b --fetch-weightsandplowrt serve --model qwen3-asr-0.6b --port 8080. It serves an OpenAI-compatible API.