Qwen3-32B-GGUF
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:
Params
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Context
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Downloads 30d
186 K
Likes
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Download history
daily snapshots · 23 days187 K177 K
Aug 29Sep 5Sep 13Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen3-32B-Q4_K_M.gguf | Q4_K_M | 19.8 GB | 22.2 GB | ⚠️ Tight — reduce context |
| Qwen3-32B-Q5_0.gguf | Q5_0 | 22.6 GB | 25.4 GB | ❌ Won’t fit |
| Qwen3-32B-Q5_K_M.gguf | Q5_K_M | 23.2 GB | 26.0 GB | ❌ Won’t fit |
| Qwen3-32B-Q6_K.gguf | Q6_K | 26.9 GB | 30.1 GB | ❌ Won’t fit |
| Qwen3-32B-Q8_0.gguf | Q8_0 | 34.8 GB | 38.8 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run qwen3-32b-gguf-qwen # pin the quantization explicitly $ ollama run qwen3-32b-gguf-qwen-q4_k_m
$ huggingface-cli download Qwen/Qwen3-32B-GGUF-GGUF \
Qwen3-32B-Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3-32B-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-32b-gguf-qwen
{
"hf_id": "Qwen/Qwen3-32B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 186279,
"vram_estimates": [
{ "quant": "Q4_K_M", "gb": 22.2 },
{ "quant": "Q5_0", "gb": 25.4 }
],
"updated_at": "2026-08-29T01:00:24Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2025-05-01
- Base model
- Qwen3-32B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-29
Compare with any text-generation model