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URL: https://willitrunai.com/can-run/nous-hermes-1.0-on-rtx-4000-ada-laptop-12gb

⇱ Nous Hermes 1.0 on RTX 4000 Ada Laptop 12GB? No — Alternati…

Can Nous Hermes 1.0 run on RTX 4000 Ada Laptop 12GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

Nous Hermes 1.0 needs ~20.1 GB but RTX 4000 Ada Laptop 12GB only has 12.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: LowStack: BasicBottleneck: Memory capacity
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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) — 20.1 GB, exceeds 12.0 GB available
20.1 GB required12.0 GB available
168% VRAM needed

8.1 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

14.6 tok/s

TTFT

13305 ms

Safe context

5K

Memory

20.1 GB / 12.0 GB

Offload

40%

Memory breakdown

Weights5.5 GB
KV Cache12.2 GB
Runtime1.2 GB
Headroom1.2 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsNous Hermes 1.0 on RTX 4000 Ada Laptop 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: 14.6 tok/s decode · 13.3s TTFT (warm) · 36 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 20.1 GB, but this setup only exposes 12.0 GB of usable VRAM.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatBVery compromised (needs ~0.8 GB host RAM)31.2 tok/s3387 ms5K
CodingFToo heavy14.6 tok/s13305 ms5K
Agentic CodingFToo heavy8.6 tok/s32682 ms5K
ReasoningFToo heavy14.6 tok/s15724 ms5K
RAGFToo heavy8.6 tok/s40852 ms5K

Quantization options

How Nous Hermes 1.0 (9B params) fits at each quantization level on RTX 4000 Ada Laptop 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowA71
Q3_K_S
3
4.4 GB
LowA72
NVFP4
4
5.0 GB
MediumA73
Q4_K_M
4
5.5 GB
MediumA73
Q5_K_M
5
6.5 GB
HighA73
Q6_KBest for your GPU
6
7.4 GB
HighA72
Q8_0
8
9.6 GB
Very HighF0
F16
16
18.5 GB
MaximumF0

Upgrade options

Hardware that runs Nous Hermes 1.0 well

👁 NVIDIA
RTX 4000 Ada 20GBBudget pick
20 GB VRAM (+8)
A
Makes the model fit on the accelerator instead of staying completely out of reach.35 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$1,250 MSRP

👁 NVIDIA
RTX 3090 24GBBest value
24 GB VRAM (+12)936 GB/s (+504)
A
Makes the model fit on the accelerator instead of staying completely out of reach.119.3 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$1,499 MSRP

👁 NVIDIA
RTX 4090 24GBNVIDIA upgrade
24 GB VRAM (+12)1008 GB/s (+576)
A
Makes the model fit on the accelerator instead of staying completely out of reach.126 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$1,599 MSRP

Frequently asked questions

See all results for RTX 4000 Ada Laptop 12GBSee all hardware for Nous Hermes 1.0