unsloth / image-text-to-text updated 6 months ago

Qwen3.5-9B-GGUF

To run Qwen3.5 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

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Context
Downloads 30d
1.5 M
Likes
925
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 55 days
▲ 265 K in the last 30 days (20.9%)
1.6 M970 K
Jul 28Aug 15Sep 2Sep 20

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict 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

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any image-text-to-text model