NVIDIA H20 96GBコスパ重視96 GB VRAM (+56)4000 GB/s (+2445)
C
Raises estimated decode speed by about 148%.110.7 tok/sデコード
Raises estimated decode speed by about 148%.
Adds memory headroom for longer context windows and future model growth.
〜$12,000 MSRP
Can Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored run on NVIDIA A100 40GB?
YES — With Offload
C51Usable
Estimated from fit model
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored needs ~39.8 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~45 tok/s.
Runtime: llama.cppCapacity: OffloadBandwidth: HighStack: StandardBottleneck: 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.
Select quantization to explore
Q4_K_M (Medium quality) — 39.8 GB, 44.6 tok/s, Runs with offload
39.8 GB required40.0 GB available
99% VRAM used
Fit status
Runs with offload
Decode
44.6 tok/s
TTFT
4340 ms
Safe context
17K
Memory
39.8 GB / 40.0 GB
Memory breakdown
Weights29.3 GB
KV Cache5.6 GB
Runtime0.9 GB
Headroom4.0 GB
See how fast it feels
See how fast it feelsQwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored on NVIDIA A100 40GB
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: 44.6 tok/s decode · 4.3s TTFT (warm) · 112 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
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.
Best improvement path
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 44.6 tok/s | 2367 ms | 17K |
| Coding | C | Runs with offload | 44.6 tok/s | 4340 ms | 17K |
| Agentic Coding | D | Very compromised (needs ~3.5 GB host RAM) | 25.6 tok/s | 11003 ms | 17K |
| Reasoning | C | Runs with offload | 44.6 tok/s | 5129 ms | 17K |
| RAG | D | Very compromised (needs ~3.5 GB host RAM) | 25.6 tok/s | 13753 ms | 17K |
Quantization options
How Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored (48B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | C48 |
Q3_K_S | 3 | 23.5 GB | Low | C48 |
NVFP4 | 4 | 26.9 GB | Medium | C48 |
Q4_K_MBest for your GPU | 4 | 29.3 GB | Medium | C48 |
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 |
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アップグレードオプション
Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensoredを快適に動かすハードウェア
NVIDIA H20 96GBコスパ重視NVIDIA A100 80GBコスパ最良80 GB VRAM (+40)2039 GB/s (+484)
C
Raises estimated decode speed by about 31%.58.5 tok/sデコード
Raises estimated decode speed by about 31%.
Adds memory headroom for longer context windows and future model growth.
〜$15,000 MSRP
NVIDIA A800 80GBNVIDIAアップグレード80 GB VRAM (+40)1935 GB/s (+380)
C
Adds memory headroom for longer context windows and future model growth.51.5 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$15,000 MSRP
Frequently asked questions
Can NVIDIA A100 40GB run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored?
Yes, NVIDIA A100 40GB can run Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored with a C grade (Runs with offload). Expected decode speed: 44.6 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 39.8 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 40GB?
On NVIDIA A100 40GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored achieves approximately 44.6 tokens per second decode speed with a time-to-first-token of 4340ms using Q4_K_M quantization.
Can NVIDIA A100 40GB 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 40GB receives a C grade with 44.6 tok/s and 17K context.
What context window can Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored use on NVIDIA A100 40GB?
On NVIDIA A100 40GB, Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored can safely use up to 17K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
What should I upgrade first if Qwen3 48B A4B Savant Commander Distill 12X Closed Open Heretic Uncensored feels slow on NVIDIA A100 40GB?
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
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