Qwen3.5 9B Uncensored HauhauCS Aggressive needs ~9.3 GB VRAM. RTX 4070 Ti Super 16GB has 16.0 GB. With Q4_K_M quantization, expect ~98 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
97.9 tok/s
TTFT
1977 ms
Safe context
117K
Memory
9.3 GB / 16.0 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 | C | Runs well | 97.9 tok/s | 1078 ms | 117K |
| Coding | C | Runs well | 97.9 tok/s | 1977 ms | 117K |
| Agentic Coding | B | Runs well | 97.9 tok/s | 2876 ms | 117K |
| Reasoning | C | Runs well | 97.9 tok/s | 2337 ms | 117K |
| RAG | B | Runs well | 97.9 tok/s | 3595 ms | 117K |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on RTX 4070 Ti Super 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C48 |
Q3_K_S | 3 | 4.4 GB | Low | C49 |
NVFP4 | 4 | 5.0 GB | Medium | C49 |
Q4_K_M | 4 | 5.5 GB | Medium | C50 |
Q5_K_M | 5 | 6.5 GB | High | C51 |
Q6_K | 6 | 7.4 GB | High | C52 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | C52 |
F16 | 16 | 18.5 GB | Maximum | F0 |
Copy-paste commands to run Qwen3.5 9B Uncensored HauhauCS Aggressive on your machine.
Run
lms load hf-hauhaucs--qwen3-5-9b-uncensored-hauhaucs-aggressive && lms server startYes, RTX 4070 Ti Super 16GB can run Qwen3.5 9B Uncensored HauhauCS Aggressive with a C grade (Runs well). Expected decode speed: 97.9 tok/s.
Qwen3.5 9B Uncensored HauhauCS Aggressive (9B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3.5 9B Uncensored HauhauCS Aggressive is Q4_K_M, which balances quality and memory efficiency.
On RTX 4070 Ti Super 16GB, Qwen3.5 9B Uncensored HauhauCS Aggressive achieves approximately 97.9 tokens per second decode speed with a time-to-first-token of 1977ms using Q4_K_M quantization.
For coding workloads, Qwen3.5 9B Uncensored HauhauCS Aggressive on RTX 4070 Ti Super 16GB receives a C grade with 97.9 tok/s and 117K context.
On RTX 4070 Ti Super 16GB, Qwen3.5 9B Uncensored HauhauCS Aggressive can safely use up to 117K 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-hauhaucs--qwen3-5-9b-uncensored-hauhaucs-aggressive-on-rtx-4070-ti-super-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: