Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~27.9 GB VRAM. RTX A5500 24GB has 24.0 GB. With Q2_K quantization, expect ~15 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
14.5 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
5.7 tok/s
TTFT
34129 ms
Safe context
4K
Memory
38.5 GB / 24.0 GB
Offload
40%
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 2.6 GB of extra host RAM just for the offloaded portion, before OS and other tools.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 6.7 tok/s | 15869 ms | 4K |
| Coding | F | Too heavy | 5.7 tok/s | 34129 ms | 4K |
| Agentic Coding | F | Too heavy | 4.3 tok/s | 66147 ms | 4K |
| Reasoning | F | Too heavy | 5.7 tok/s | 40335 ms | 4K |
| RAG | F | Too heavy | 4.3 tok/s | 82683 ms | 4K |
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on RTX A5500 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | F0 |
Q3_K_S | 3 | 23.5 GB | Low | F0 |
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 startOpções de upgrade
RTX A6000 48GBOpção econômicaMakes 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.
~$4,650 MSRP
RTX PRO 5000 Blackwell 48GBMelhor custo-benefícioMakes 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.
~$4,999 MSRP
NVIDIA L40 48GBUpgrade NVIDIAMakes 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.
~$5,500 MSRP
Yes, RTX A5500 24GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored at Q2_K quantization (Very compromised (needs ~2.6 GB host RAM)). The recommended Q4_K_M requires 38.5 GB which exceeds available memory, but at Q2_K it needs only 27.9 GB. Expected decode speed: 14.8 tok/s.
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B parameters) requires approximately 38.5 GB at Q4_K_M quantization. On RTX A5500 24GB, it fits at Q2_K using 27.9 GB.
The recommended quantization is Q4_K_M, but on RTX A5500 24GB the best fitting quantization is Q2_K, which uses 27.9 GB.
On RTX A5500 24GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 14.8 tokens per second decode speed with a time-to-first-token of 13074ms using Q2_K quantization.
For coding workloads, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on RTX A5500 24GB receives a F grade with 5.7 tok/s and 4K context.
On RTX A5500 24GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored can safely use up to 5K tokens of context at Q2_K 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-rtx-a5500-24gb" 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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