Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~36.9 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With NVFP4 quantization, expect ~16 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
7.3 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
12.5 tok/s
TTFT
15473 ms
Safe context
4K
Memory
39.3 GB / 32.0 GB
Offload
20%
It fits through host-memory offload, and offload is the main reason performance drops.
CPU or host-memory offload is active
About 10% of the working set spills out of accelerator memory, which usually hurts latency and sustained decode throughput.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Remove offload with more accelerator memory
Prioritize a GPU or unified-memory tier that fits the whole model natively. Removing offload usually helps more than small compute gains.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Increase host RAM if you keep offloading
This setup may need roughly 3.6 GB of extra host RAM just for the offloaded portion, before OS and other tools.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | D | Very compromised (needs ~3.6 GB host RAM) | 14.1 tok/s | 7467 ms | 4K |
| Coding | F | Too heavy | 12.5 tok/s | 15473 ms | 4K |
| Agentic Coding | F | Too heavy | 10.0 tok/s | 28064 ms | 4K |
| Reasoning | F | Too heavy | 12.5 tok/s | 18287 ms | 4K |
| RAG | F | Too heavy | 10.0 tok/s | 35080 ms | 4K |
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | C49 |
Q3_K_SBest for your GPU | 3 | 23.5 GB | Low | C48 |
NVFP4 | 4 | 26.9 GB | Medium | F0 |
Q4_K_M | 4 | 29.3 GB | Medium | F0 |
Q5_K_M | 5 | 34.6 GB | High | F0 |
Q6_K | 6 | 39.4 GB | High | F0 |
Q8_0 | 8 | 51.4 GB | Very High | F0 |
F16 | 16 | 98.4 GB | Maximum | F0 |
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
RTX A6000 48GBGünstige WahlMakes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
ca. $4,650 MSRP
RTX PRO 5000 Blackwell 48GBBestes Preis-Leistungs-VerhältnisMakes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
ca. $4,999 MSRP
NVIDIA L40 48GBNVIDIA-UpgradeMakes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
ca. $5,500 MSRP
Yes, NVIDIA V100 32GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored at NVFP4 quantization (Very compromised (needs ~3.6 GB host RAM)). The recommended Q4_K_M requires 39.3 GB which exceeds available memory, but at NVFP4 it needs only 36.9 GB. Expected decode speed: 15.9 tok/s.
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B parameters) requires approximately 39.3 GB at Q4_K_M quantization. On NVIDIA V100 32GB, it fits at NVFP4 using 36.9 GB.
The recommended quantization is Q4_K_M, but on NVIDIA V100 32GB the best fitting quantization is NVFP4, which uses 36.9 GB.
On NVIDIA V100 32GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 15.9 tokens per second decode speed with a time-to-first-token of 12193ms using NVFP4 quantization.
For coding workloads, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on NVIDIA V100 32GB receives a F grade with 12.5 tok/s and 4K context.
On NVIDIA V100 32GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored can safely use up to 4K tokens of context at NVFP4 quantization. The model's official context limit is —, but available memory constrains the safe maximum.
Remove offload with more accelerator memory. Prioritize a GPU or unified-memory tier that fits the whole model natively. Removing offload usually helps more than small compute gains.
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<iframe src="https://willitrunai.com/embed/hf-davidau--qwen3-48b-a4b-savant-commander-distill-12x-closed-open-heretic-uncensored-gguf-on-v100-32gb" 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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