Can Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored run on NVIDIA A100 80GB?

YES — Runs Great

C52Usable

Estimated from fit model

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.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced

Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 44.1 GB, 58.5 tok/s, Runs well

44.1 GB required80.0 GB available

55% VRAM used

Fit status

Runs well

Decode

58.5 tok/s

TTFT

3310 ms

Safe context

118K

Memory

44.1 GB / 80.0 GB

Memory breakdown

Weights29.3 GB

KV Cache5.6 GB

Runtime1.2 GB

Headroom8.0 GB

See how fast it feels

See how fast it feelsQwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on NVIDIA A100 80GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 58.5 tok/s decode · 3.3s TTFT (warm) · 146 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by 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

Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored inference speed — tokens per second by GPU & Mac

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.

Quantization options

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

Get started

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 start

Frequently asked questions

Can NVIDIA A100 80GB run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored?

Yes, 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.

How much VRAM does Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored need?

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.

What is the best quantization for Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored?

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.

What speed will Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored run at on NVIDIA A100 80GB?

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.

Can NVIDIA A100 80GB run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored for coding?

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.

What context window can Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored use on NVIDIA A100 80GB?

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.

See all results for NVIDIA A100 80GB See all hardware for Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored

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