Qwen3.5-4B-GGUF
To run Qwen3.5 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
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Downloads 30d
1.2 M
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daily snapshots · 10 days1.2 M1.2 M
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 |
|---|---|---|---|---|
| Qwen3.5-4B-Q3_K_S.gguf | Q3_K_S | 2.1 GB | 2.8 GB | ✅ Runs comfortably |
| Qwen3.5-4B-Q3_K_M.gguf | Q3_K_M | 2.3 GB | 3.0 GB | ✅ Runs comfortably |
| Qwen3.5-4B-IQ4_XS.gguf | IQ4_XS | 2.5 GB | 3.2 GB | ✅ Runs comfortably |
| Qwen3.5-4B-IQ4_NL.gguf | IQ4_NL | 2.6 GB | 3.3 GB | ✅ Runs comfortably |
| Qwen3.5-4B-Q4_0.gguf | Q4_0 | 2.6 GB | 3.3 GB | ✅ Runs comfortably |
| Qwen3.5-4B-Q4_K_M.gguf | Q4_K_M | 2.7 GB | 3.5 GB | ✅ Runs comfortably |
| Qwen3.5-4B-Q4_1.gguf | Q4_1 | 2.8 GB | 3.6 GB | ✅ Runs comfortably |
| Qwen3.5-4B-BF16.gguf | GGUF | 8.4 GB | 9.8 GB | ✅ Runs comfortably |
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
- 2026-03-02
- Base model
- Qwen3.5-4B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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