👁 Unsloth
Unsloth
Qwen3.5 9B
Limited data available — some specs may be incomplete or estimated.
1.0MDownloads365Likes0K tokensContextUnknownLicense5 EntryQuality
Qwen3.5 9B (9B parameters) requires approximately 8.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Qwen3.5 9B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "unsloth/Qwen3.5-9B-GGUF" \
--hf-file "Qwen3.5-9B-GGUF-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters9B
Architecturedense
Context0K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseUnknown
FamilyQwen
✓ Vision✓ Chat
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Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | — |
Q3_K_S | 3 | 4.4 GB | Low | — |
NVFP4 | 4 | 5.0 GB | Medium | — |
Q4_K_M | 4 | 5.5 GB | Medium | — |
Q5_K_M | 5 | 6.5 GB | High | — |
Q6_K | 6 | 7.4 GB | High | — |
Q8_0 | 8 | 9.6 GB | Very High | — |
F16 | 16 | 18.5 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights5.5 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Qwen3.5 9B
See also