Raises estimated decode speed by about 950%.
Adds memory headroom for longer context windows and future model growth.
ca. $8,000 MSRP
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~63.5 GB VRAM. Mac Studio M3 Ultra 256GB has 184.3 GB. With Q4_K_M quantization, expect ~19 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
19.0 tok/s
TTFT
10178 ms
Safe context
360K
Memory
63.5 GB / 184.3 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 | 19.0 tok/s | 5552 ms | 360K |
| Coding | C | Runs well | 19.0 tok/s | 10178 ms | 360K |
| Agentic Coding | C | Runs well | 19.0 tok/s | 14805 ms | 360K |
| Reasoning | C | Runs well | 19.0 tok/s | 12029 ms | 360K |
| RAG | C | Runs well | 19.0 tok/s | 18506 ms | 360K |
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on Mac Studio M3 Ultra 256GB (184.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | D37 |
Q3_K_S | 3 | 23.5 GB | Low | D38 |
NVFP4 | 4 | 26.9 GB | Medium | D38 |
Q4_K_M | 4 | 29.3 GB | Medium | D39 |
Q5_K_M | 5 | 34.6 GB | High | D39 |
Q6_K | 6 | 39.4 GB | High | D40 |
Q8_0 | 8 | 51.4 GB | Very High | C41 |
F16Best for your GPU | 16 | 98.4 GB | Maximum | C47 |
Copy-paste commands to run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on your machine.
Run
lms load hf-davidau--qwen3-48b-a4b-savant-commander-distill-12x-closed-open-heretic-uncensored-gguf && lms server startUpgrade-Optionen
Raises estimated decode speed by about 950%.
Adds memory headroom for longer context windows and future model growth.
ca. $8,000 MSRP
Raises estimated decode speed by about 643%.
ca. $15,000 MSRP
Yes, Mac Studio M3 Ultra 256GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored with a C grade (Runs well). Expected decode speed: 19.0 tok/s.
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B parameters) requires approximately 63.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M3 Ultra 256GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 19.0 tokens per second decode speed with a time-to-first-token of 10178ms using Q4_K_M quantization.
For coding workloads, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on Mac Studio M3 Ultra 256GB receives a C grade with 19.0 tok/s and 360K context.
On Mac Studio M3 Ultra 256GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored can safely use up to 360K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. Mac Studio M3 Ultra 256GB 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-davidau--qwen3-48b-a4b-savant-commander-distill-12x-closed-open-heretic-uncensored-gguf-on-m3-ultra-256gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: