Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~36.6 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With NVFP4 quantization, expect ~18 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
7.0 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
13.5 tok/s
TTFT
14364 ms
Safe context
4K
Memory
39.0 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 3.4 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 ~3.4 GB host RAM) | 15.8 tok/s | 6693 ms | 4K |
| Coding | F | Too heavy | 13.5 tok/s | 14364 ms | 4K |
| Agentic Coding | F | Too heavy | 10.2 tok/s | 27743 ms | 4K |
| Reasoning | F | Too heavy | 13.5 tok/s | 16975 ms | 4K |
| RAG | F | Too heavy | 10.2 tok/s | 34679 ms | 4K |
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on AMD Instinct MI100 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 startOpciones de mejora
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$3,999 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$3,999 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$8,000 MSRP
NVIDIA H100 80GBMayor saltoHace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$40,000 MSRP
Yes, AMD Instinct MI100 32GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored at NVFP4 quantization (Very compromised (needs ~3.4 GB host RAM)). The recommended Q4_K_M requires 39.0 GB which exceeds available memory, but at NVFP4 it needs only 36.6 GB. Expected decode speed: 17.6 tok/s.
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B parameters) requires approximately 39.0 GB at Q4_K_M quantization. On AMD Instinct MI100 32GB, it fits at NVFP4 using 36.6 GB.
The recommended quantization is Q4_K_M, but on AMD Instinct MI100 32GB the best fitting quantization is NVFP4, which uses 36.6 GB.
On AMD Instinct MI100 32GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 17.6 tokens per second decode speed with a time-to-first-token of 10987ms using NVFP4 quantization.
For coding workloads, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on AMD Instinct MI100 32GB receives a F grade with 13.5 tok/s and 4K context.
On AMD Instinct MI100 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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