Qwen3.5-9B-GGUF
To run Qwen3.5 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
Params
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Context
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Downloads 30d
1.0 M
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Download history
daily snapshots · 10 days1.0 M970 K
Jul 28Jul 31Aug 3Aug 6
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 |
|---|---|---|---|---|
| Qwen3.5-9B-Q3_K_S.gguf | Q3_K_S | 4.3 GB | 5.2 GB | ✅ Runs comfortably |
| Qwen3.5-9B-Q3_K_M.gguf | Q3_K_M | 4.7 GB | 5.6 GB | ✅ Runs comfortably |
| Qwen3.5-9B-IQ4_XS.gguf | IQ4_XS | 5.2 GB | 6.2 GB | ✅ Runs comfortably |
| Qwen3.5-9B-IQ4_NL.gguf | IQ4_NL | 5.4 GB | 6.4 GB | ✅ Runs comfortably |
| Qwen3.5-9B-Q4_0.gguf | Q4_0 | 5.4 GB | 6.4 GB | ✅ Runs comfortably |
| Qwen3.5-9B-Q4_K_M.gguf | Q4_K_M | 5.7 GB | 6.7 GB | ✅ Runs comfortably |
| Qwen3.5-9B-Q4_1.gguf | Q4_1 | 5.8 GB | 6.9 GB | ✅ Runs comfortably |
| Qwen3.5-9B-BF16.gguf | GGUF | 17.9 GB | 20.2 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-02-28
- Base model
- Qwen3.5-9B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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