Qwen3.5 9B Uncensored HauhauCS Aggressive needs ~21.3 GB VRAM. MacBook Pro M3 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~44 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
43.7 tok/s
TTFT
4429 ms
Safe context
1.1M
Memory
21.3 GB / 92.2 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 43.7 tok/s | 2416 ms | 1.1M |
| Coding | C | Runs well | 43.7 tok/s | 4429 ms | 1.1M |
| Agentic Coding | C | Runs well | 43.7 tok/s | 6442 ms | 1.1M |
| Reasoning | C | Runs well | 43.7 tok/s | 5234 ms | 1.1M |
| RAG | C | Runs well | 43.7 tok/s | 8052 ms | 1.1M |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D40 |
Q3_K_S | 3 | 4.4 GB | Low | D40 |
NVFP4 | 4 | 5.0 GB | Medium | D40 |
Q4_K_M | 4 | 5.5 GB | Medium | D40 |
Q5_K_M | 5 | 6.5 GB | High | D40 |
Q6_K | 6 | 7.4 GB | High | D40 |
Q8_0 | 8 | 9.6 GB | Very High | D40 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C41 |
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 startUpgrade-Optionen
Raises estimated decode speed by about 132%.
Adds memory headroom for longer context windows and future model growth.
ca. $6,999 MSRP
Raises estimated decode speed by about 188%.
Adds memory headroom for longer context windows and future model growth.
ca. $8,000 MSRP
Yes, MacBook Pro M3 Max 128GB can run Qwen3.5 9B Uncensored HauhauCS Aggressive with a C grade (Runs well). Expected decode speed: 43.7 tok/s.
Qwen3.5 9B Uncensored HauhauCS Aggressive (9B parameters) requires approximately 21.3 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 MacBook Pro M3 Max 128GB, Qwen3.5 9B Uncensored HauhauCS Aggressive achieves approximately 43.7 tokens per second decode speed with a time-to-first-token of 4429ms using Q4_K_M quantization.
For coding workloads, Qwen3.5 9B Uncensored HauhauCS Aggressive on MacBook Pro M3 Max 128GB receives a C grade with 43.7 tok/s and 1.1M context.
On MacBook Pro M3 Max 128GB, Qwen3.5 9B Uncensored HauhauCS Aggressive can safely use up to 1.1M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. MacBook Pro M3 Max 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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-m3-max-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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