unsloth / image-text-to-text Open weights updated 7 months ago

Qwen3.5-35B-A3B-GGUF

Name: Qwen3.5-35B-A3B-GGUF
Author: unsloth

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

Params

35.0 B

Context

—

Downloads 30d

964 K

Likes

879

Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 19 days

966 K899 K

Oct 6Oct 12Oct 18Oct 24

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
Qwen3.5-35B-A3B-Q3_K_S.gguf	Q3_K_S	15.3 GB	22.5 GB	⚠️ Tight — reduce context
Qwen3.5-35B-A3B-Q3_K_M.gguf	Q3_K_M	16.4 GB	23.7 GB	⚠️ Tight — reduce context
Qwen3.5-35B-A3B-Q4_K_S.gguf	Q4_K_S	20.7 GB	28.5 GB	❌ Won’t fit
Qwen3.5-35B-A3B-Q4_K_M.gguf	Q4_K_M	22.0 GB	30.0 GB	❌ Won’t fit
Qwen3.5-35B-A3B-Q5_K_S.gguf	Q5_K_S	24.8 GB	33.1 GB	❌ Won’t fit
Qwen3.5-35B-A3B-Q5_K_M.gguf	Q5_K_M	26.2 GB	34.6 GB	❌ Won’t fit
Qwen3.5-35B-A3B-Q6_K.gguf	Q6_K	28.9 GB	37.5 GB	❌ Won’t fit
Qwen3.5-35B-A3B-BF16-00001-of-00002.gguf	GGUF	49.8 GB	60.6 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

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

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