Qwen3-30B-A3B-GGUF
MaziyarPanahi/Qwen3-30B-A3B-GGUF contains GGUF format model files for Qwen/Qwen3-30B-A3B.
Params
—
Context
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Downloads 30d
168 K
Likes
5
Download history
tracking started — chart appears after 7 days of snapshots (1 recorded)168 K downloads in the last 30 days
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 |
|---|---|---|---|---|
| Qwen3-30B-A3B.Q2_K.gguf | Q2_K | 11.3 GB | 12.9 GB | ✅ Runs comfortably |
| Qwen3-30B-A3B.Q3_K_M.gguf | Q3_K_M | 14.7 GB | 16.7 GB | ✅ Runs comfortably |
| Qwen3-30B-A3B.Q3_K_L.gguf | Q3_K_L | 15.9 GB | 18.0 GB | ✅ Runs comfortably |
| Qwen3-30B-A3B.Q4_K_M.gguf | Q4_K_M | 18.6 GB | 20.9 GB | ⚠️ Tight — reduce context |
| Qwen3-30B-A3B.Q5_K_M.gguf | Q5_K_M | 21.7 GB | 24.4 GB | ❌ Won’t fit |
| Qwen3-30B-A3B.Q6_K.gguf | Q6_K | 25.1 GB | 28.1 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 qwen3-30b-a3b-gguf # pin the quantization explicitly $ ollama run qwen3-30b-a3b-gguf-q4_k_m
$ huggingface-cli download MaziyarPanahi/Qwen3-30B-A3B-GGUF-GGUF \
Qwen3-30B-A3B.Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3-30B-A3B.Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-30b-a3b-gguf
{
"hf_id": "MaziyarPanahi/Qwen3-30B-A3B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 168113,
"vram_estimates": [
{ "quant": "Q2_K", "gb": 12.9 },
{ "quant": "Q3_K_L", "gb": 18.0 }
],
"updated_at": "2026-08-06T01:00:55Z"
}
Specifications
- First seen on the Hub
- 2025-04-29
- Base model
- Qwen3-30B-A3B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-06
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