Will It Run AI

Can Mistral 7B Instruct v0.3 run on RTX 4070 Super 12GB?

YES — Runs Great

B69Good
Estimated from fit model

Mistral 7B Instruct v0.3 needs ~8.6 GB VRAM. RTX 4070 Super 12GB has 12.0 GB. With Q4_K_M quantization, expect ~91 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: Balanced
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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) — 8.6 GB, 97.7 tok/s, Runs well
8.6 GB required12.0 GB available
72% VRAM used

Fit status

Runs well

Decode

97.7 tok/s

TTFT

1982 ms

Safe context

8K

Memory

8.6 GB / 12.0 GB

Memory breakdown

Weights4.3 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom1.2 GB

See how fast it feels

See how fast it feelsMistral 7B Instruct v0.3 on RTX 4070 Super 12GB
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: 97.7 tok/s decode · 2.0s TTFT (warm) · 244 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

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well97.7 tok/s1081 ms8K
CodingBRuns well90.9 tok/s2130 ms8K
Agentic CodingBTight fit97.7 tok/s2882 ms8K
ReasoningBRuns well97.7 tok/s2342 ms8K
RAGBTight fit97.7 tok/s3603 ms8K

Quantization options

How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on RTX 4070 Super 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB61
Q3_K_S
3
3.4 GB
LowB62
NVFP4
4
3.9 GB
MediumB63
Q4_K_M
4
4.3 GB
MediumB63
Q5_K_M
5
5.0 GB
HighB64
Q6_K
6
5.7 GB
HighB65
Q8_0Best for your GPU
8
7.5 GB
Very HighB64
F16
16
14.3 GB
MaximumF0

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

Frequently asked questions

Can RTX 4070 Super 12GB run Mistral 7B Instruct v0.3?

Yes, RTX 4070 Super 12GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 90.9 tok/s.

How much VRAM does Mistral 7B Instruct v0.3 need?

Mistral 7B Instruct v0.3 (7B parameters) requires approximately 8.6 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 RTX 4070 Super 12GB?

On RTX 4070 Super 12GB, Mistral 7B Instruct v0.3 achieves approximately 90.9 tokens per second decode speed with a time-to-first-token of 2130ms using Q4_K_M quantization.

Can RTX 4070 Super 12GB run Mistral 7B Instruct v0.3 for coding?

For coding workloads, Mistral 7B Instruct v0.3 on RTX 4070 Super 12GB receives a B grade with 90.9 tok/s and 8K context.

What context window can Mistral 7B Instruct v0.3 use on RTX 4070 Super 12GB?

On RTX 4070 Super 12GB, 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.

See all results for RTX 4070 Super 12GBSee all hardware for Mistral 7B Instruct v0.3
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