Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~44.1 GB VRAM. NVIDIA A100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~59 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
58.5 tok/s
TTFT
3310 ms
Safe context
118K
Memory
44.1 GB / 80.0 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 | 58.5 tok/s | 1805 ms | 118K |
| Coding | C | Runs well | 58.5 tok/s | 3310 ms | 118K |
| Agentic Coding | C | Runs well | 58.5 tok/s | 4814 ms | 118K |
| Reasoning | C | Runs well | 58.5 tok/s | 3911 ms | 118K |
| RAG | C | Runs well | 58.5 tok/s | 6018 ms | 118K |
Inference speed
Estimated decode speed (tokens/sec) for Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored at Q4_K_M across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is 2× RX 7900 XTX 24GB at ~40 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
2× RX 7900 XTX 24GB | 48 GB | Q4_K_M | 40.1 | Tight |
 2× RTX 4090 24GB | 48 GB | Q4_K_M | 21.1 | Tight |
| RTX 5090 32GB | 32 GB | Q4_K_M | 20.6 | Too big |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 20.5 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 20.5 | Tight |
| 2× RTX 3090 24GB | 48 GB | Q4_K_M | 19.4 | Tight |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 19.0 | Fits |
| 4× RTX 3060 12GB | 48 GB | Q4_K_M | 17.1 | Tight |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 15.8 | Fits |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 15.0 | Fits |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 10.0 | Heavy offload |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 8.2 | Tight |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 7.5 | Tight |
| RTX 4090 24GB | 24 GB | Q4_K_M | 7.3 | Too big |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 6.7 | Too big |
| RTX 3090 24GB | 24 GB | Q4_K_M | 6.2 | Too big |
| RTX 4080 Super 16GB | 16 GB | Q4_K_M | 3.1 | Too big |
| RTX 4070 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 3060 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 4060 8GB | 8 GB | Q4_K_M | 2.0 | Too big |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on NVIDIA A100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | C42 |
Q3_K_S | 3 | 23.5 GB | Low | C42 |
NVFP4 | 4 | 26.9 GB | Medium | C43 |
Q4_K_M | 4 | 29.3 GB | Medium | C44 |
Q5_K_M | 5 | 34.6 GB | High | C45 |
Q6_K | 6 | 39.4 GB | High | C46 |
Q8_0Best for your GPU | 8 | 51.4 GB | Very High | C48 |
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 startYes, NVIDIA A100 80GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored with a C grade (Runs well). Expected decode speed: 58.5 tok/s.
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B parameters) requires approximately 44.1 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 NVIDIA A100 80GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 58.5 tokens per second decode speed with a time-to-first-token of 3310ms using Q4_K_M quantization.
For coding workloads, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on NVIDIA A100 80GB receives a C grade with 58.5 tok/s and 118K context.
On NVIDIA A100 80GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored can safely use up to 118K 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-davidau--qwen3-48b-a4b-savant-commander-distill-12x-closed-open-heretic-uncensored-gguf-on-a100-80gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: