Qwen3.5 9B needs ~8.9 GB VRAM. RTX 3080 Ti 12GB has 12.0 GB. With Q4_K_M quantization, expect ~123 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
122.9 tok/s
TTFT
1575 ms
Safe context
62K
Memory
8.9 GB / 12.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 122.9 tok/s | 859 ms | 62K |
| Coding | B | Runs well | 122.9 tok/s | 1575 ms | 62K |
| Agentic Coding | C | Tight fit | 122.9 tok/s | 2291 ms | 62K |
| Reasoning | B | Runs well | 122.9 tok/s | 1861 ms | 62K |
| RAG | C | Tight fit | 122.9 tok/s | 2863 ms | 62K |
How Qwen3.5 9B (9B params) fits at each quantization level on RTX 3080 Ti 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C50 |
Q3_K_S | 3 | 4.4 GB | Low | C51 |
NVFP4 | 4 | 5.0 GB | Medium | C52 |
Q4_K_M | 4 | 5.5 GB | Medium | C53 |
Q5_K_M | 5 | 6.5 GB | High | C52 |
Q6_KBest for your GPU | 6 | 7.4 GB | High | C52 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |
Copy-paste commands to run Qwen3.5 9B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "lmstudio-community/Qwen3.5-9B-GGUF" \
--hf-file "Qwen3.5-9B-GGUF-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, RTX 3080 Ti 12GB can run Qwen3.5 9B with a B grade (Runs well). Expected decode speed: 122.9 tok/s.
Qwen3.5 9B (9B parameters) requires approximately 8.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3.5 9B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3080 Ti 12GB, Qwen3.5 9B achieves approximately 122.9 tokens per second decode speed with a time-to-first-token of 1575ms using Q4_K_M quantization.
For coding workloads, Qwen3.5 9B on RTX 3080 Ti 12GB receives a B grade with 122.9 tok/s and 62K context.
On RTX 3080 Ti 12GB, Qwen3.5 9B can safely use up to 62K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-lmstudio-community--qwen3-5-9b-gguf-on-rtx-3080-ti-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: