Can Solar 7B run on NVIDIA A10 24GB?

YES — Runs Great

A72Great
Estimated from fit model

Solar 7B needs ~10.8 GB VRAM. NVIDIA A10 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: Balanced
Share:

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) 10.8 GB, 98.0 tok/s, Runs well
10.8 GB required24.0 GB available
45% VRAM used

Fit status

Runs well

Decode

98.0 tok/s

TTFT

1976 ms

Safe context

8K

Memory

10.8 GB / 24.0 GB

Memory breakdown

Weights4.3 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom2.4 GB

See how fast it feels

See how fast it feelsSolar 7B on NVIDIA A10 24GB
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.

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
ChatARuns well98.0 tok/s1078 ms8K
CodingARuns well98.0 tok/s1976 ms8K
Agentic CodingARuns well98.0 tok/s2873 ms8K
ReasoningARuns well98.0 tok/s2335 ms8K
RAGARuns well98.0 tok/s3592 ms8K

Quantization options

How Solar 7B (7B params) fits at each quantization level on NVIDIA A10 24GB (24.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB65
Q3_K_S
3
3.4 GB
LowB65
NVFP4
4
3.9 GB
MediumB66
Q4_K_M
4
4.3 GB
MediumB66
Q5_K_M
5
5.0 GB
HighB66
Q6_K
6
5.7 GB
HighB66
Q8_0
8
7.5 GB
Very HighB68
F16Best for your GPU
16
14.3 GB
MaximumA71

Get started

Copy-paste commands to run Solar 7B on your machine.

Run

lms load Solar-7B && lms server start

Your hardware

More models your NVIDIA A10 24GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS70.8 tok/s
AlibabaQwen 3.5 27B27BS30.7 tok/s
AlibabaQwen 3.6 27B27BS30.8 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS73.2 tok/s
AlibabaQwen 3.5 9B9BS91.6 tok/s

Frequently asked questions

Can NVIDIA A10 24GB run Solar 7B?

Yes, NVIDIA A10 24GB can run Solar 7B with a A grade (Runs well). Expected decode speed: 98.0 tok/s.

How much VRAM does Solar 7B need?

Solar 7B (7B parameters) requires approximately 10.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Solar 7B?

The recommended quantization for Solar 7B is Q4_K_M, which balances quality and memory efficiency.

What speed will Solar 7B run at on NVIDIA A10 24GB?

On NVIDIA A10 24GB, Solar 7B achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.

Can NVIDIA A10 24GB run Solar 7B for coding?

For coding workloads, Solar 7B on NVIDIA A10 24GB receives a A grade with 98.0 tok/s and 8K context.

What context window can Solar 7B use on NVIDIA A10 24GB?

On NVIDIA A10 24GB, Solar 7B 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 NVIDIA A10 24GBSee all hardware for Solar 7B
Embed this result

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/solar-7b-on-a10-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: