Qwen

Qwen3-32B

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32.8B parameters · Base · Qwen3 family

apache-2.0 hash verified source matched revision pinned

Which version should I download?

Set your rig so we can size a quant to your hardware and show which quants fit.

Set your rig

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.

Start the server
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.

Save as Modelfile next to the GGUF (Modelfile)
FROM ./Qwen_Qwen3-32B-Q4_K_M.gguf
PARAMETER num_ctx 8192
PARAMETER num_gpu 999
Create
ollama create qwen-qwen3-32b -f Modelfile
Run
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.

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@endif
Technical details

No template or sampling metadata recorded.

Evidence & provenance

Source

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

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Real-world throughput reported by the community (and scraped sources).