Qwen3.5 9B Uncensored HauhauCS Aggressive needs ~10.1 GB VRAM. RTX A5000 24GB has 24.0 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
226K
Memory
10.1 GB / 24.0 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 | 226K |
| Coding | C | Runs well | 97.9 tok/s | 1977 ms | 226K |
| Agentic Coding | C | Runs well | 97.9 tok/s | 2876 ms | 226K |
| Reasoning | C | Runs well | 97.9 tok/s | 2337 ms | 226K |
| RAG | C | Runs well | 97.9 tok/s | 3595 ms | 226K |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on RTX A5000 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C45 |
Q3_K_S | 3 | 4.4 GB | Low | C45 |
NVFP4 | 4 | 5.0 GB | Medium | C46 |
Q4_K_M | 4 | 5.5 GB | Medium | C46 |
Q5_K_M | 5 | 6.5 GB | High | C47 |
Q6_K | 6 | 7.4 GB | High | C47 |
Q8_0 | 8 | 9.6 GB | Very High | C49 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C50 |
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 A5000 24GB 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 10.1 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 A5000 24GB, 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 A5000 24GB receives a C grade with 97.9 tok/s and 226K context.
On RTX A5000 24GB, Qwen3.5 9B Uncensored HauhauCS Aggressive can safely use up to 226K 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-a5000-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: