MacBook Pro M4 Max 96GBコスパ重視
96 GB Unified (+48)
B
Adds memory headroom for longer context windows and future model growth.94.4 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$2,499 MSRP
Can Mistral 7B Instruct v0.3 run on Quadro RTX 8000 48GB?
YES — Runs Great
B60Good
Estimated from fit model
Mistral 7B Instruct v0.3 needs ~12.2 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~98 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: 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.
Select quantization to explore
Q4_K_M (Medium quality) — 12.2 GB, 98.0 tok/s, Runs well
12.2 GB required48.0 GB available
25% VRAM used
Fit status
Runs well
Decode
98.0 tok/s
TTFT
1976 ms
Safe context
8K
Memory
12.2 GB / 48.0 GB
Memory breakdown
Weights4.3 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom4.8 GB
See how fast it feels
See how fast it feelsMistral 7B Instruct v0.3 on Quadro RTX 8000 48GB
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: 98.0 tok/s decode · 2.0s TTFT (warm) · 245 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 98.0 tok/s | 1078 ms | 8K |
| Coding | B | Runs well | 98.0 tok/s | 1976 ms | 8K |
| Agentic Coding | B | Runs well | 98.0 tok/s | 2873 ms | 8K |
| Reasoning | B | Runs well | 98.0 tok/s | 2335 ms | 8K |
| RAG | B | Runs well | 98.0 tok/s | 3592 ms | 8K |
Quantization options
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C54 |
Q3_K_S | 3 | 3.4 GB | Low | C54 |
NVFP4 | 4 | 3.9 GB | Medium | C54 |
Q4_K_M | 4 | 4.3 GB | Medium | C54 |
Q5_K_M | 5 | 5.0 GB | High | C54 |
Q6_K | 6 | 5.7 GB | High | C54 |
Q8_0 | 8 | 7.5 GB | Very High | C54 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B56 |
Get started
Copy-paste commands to run Mistral 7B Instruct v0.3 on your machine.
Run
lms load Mistral-7B-Instruct-v0.3 && lms server startアップグレードオプション
Mistral 7B Instruct v0.3を快適に動かすハードウェア
Frequently asked questions
Can Quadro RTX 8000 48GB run Mistral 7B Instruct v0.3?
Yes, Quadro RTX 8000 48GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 98.0 tok/s.
How much VRAM does Mistral 7B Instruct v0.3 need?
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 12.2 GB of memory with Q4_K_M quantization.
What is the best quantization for Mistral 7B Instruct v0.3?
The recommended quantization for Mistral 7B Instruct v0.3 is Q4_K_M, which balances quality and memory efficiency.
What speed will Mistral 7B Instruct v0.3 run at on Quadro RTX 8000 48GB?
On Quadro RTX 8000 48GB, Mistral 7B Instruct v0.3 achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.
Can Quadro RTX 8000 48GB run Mistral 7B Instruct v0.3 for coding?
For coding workloads, Mistral 7B Instruct v0.3 on Quadro RTX 8000 48GB receives a B grade with 98.0 tok/s and 8K context.
What context window can Mistral 7B Instruct v0.3 use on Quadro RTX 8000 48GB?
On Quadro RTX 8000 48GB, Mistral 7B Instruct v0.3 can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
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