Qwen
Qwen3-32B
32.8B parameters · Base · Qwen3 family
Recommended download
Which version should I download?
Set your rig so we can size a quant to your hardware and show which quants fit.
Quantizations
| Format | Level | Size | Verdict | Est. speed | Quality note | Swarm | Download |
|---|---|---|---|---|---|---|---|
| GGUF | Q4_K_M | 18.40 GB | Set your rig | — | Balanced size/quality — good default. | 1S / 0L webseed OK |
Run it
Generic commands (no rig set). GPU-offload values assume the model fits on your GPU — set your rig for values tuned to your hardware.
llama-server -m Qwen_Qwen3-32B-Q4_K_M.gguf -c 8192 -ngl 999
Use llama-cli in place of llama-server for a one-shot prompt.
FROM ./Qwen_Qwen3-32B-Q4_K_M.gguf
PARAMETER num_ctx 8192
PARAMETER num_gpu 999
ollama create qwen-qwen3-32b -f Modelfile
ollama run qwen-qwen3-32b
GGUF is not a first-class vLLM format.
vLLM GGUF support is experimental and single-file only; prefer safetensors/GPTQ/AWQ for production. If you must, pass the .gguf path to `vllm serve` with --load-format gguf on a recent vLLM.
Load Qwen_Qwen3-32B-Q4_K_M.gguf, set the context length to 8192 tokens. Set GPU offload to Max (all layers).
Not an MLX-format quant.
MLX runs MLX-format weights only (Apple Silicon). This quant is not an MLX build.
Technical details
No template or sampling metadata recorded.
Evidence & provenance
Source
- Provenance
- https://huggingface.co/Qwen/Qwen3-32B
- Revision pin
-
9216db5781bf21249d130ec9da846c4624c16137 - Manifest
- Present
License
- Name
- apache-2.0
- Commercial use
- yes
- Access
- Open
File hashes (SHA-256)
-
qwen3-32b/LICENSE
832dd9e00a68dd83b3c3fb9f5588dad7dcf337a0db50f7d9483f310cd292e92e -
qwen3-32b/Qwen_Qwen3-32B-Q4_K_M.gguf
e41ec56ddd376963a116da97506fadfccb50fb402bb6f3cb4be0bc179a582bd6 -
qwen3-32b/README.md
461cff52459624025d46c4f67143035cffd2a4cacd75bcb3c66eae8bf3a13553
Community
Performance reports
No performance reports yet.
Reviews
No reviews yet.
Presets
No presets yet.
Performance reports
Real-world throughput reported by the community (and scraped sources).