unsloth / image-text-to-text updated 5 months ago

Qwen3.5-4B-GGUF

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

Params
Context
Downloads 30d
1.2 M
Likes
360
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 10 days
1.2 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.

FileQuantSizeEst. VRAMVerdict 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

Family

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