Can Nous Hermes 2 SOLAR 10.7B run on RTX 4000 Ada 20GB?

YES — Runs Great

C51Usable

Estimated from fit model

Nous Hermes 2 SOLAR 10.7B needs ~11.0 GB VRAM. RTX 4000 Ada 20GB has 20.0 GB. With Q4_K_M quantization, expect ~43 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 11.0 GB, 43.0 tok/s, Runs well

11.0 GB required20.0 GB available

55% VRAM used

Fit status

Runs well

Decode

43.0 tok/s

TTFT

4500 ms

Safe context

131K

Memory

11.0 GB / 20.0 GB

Memory breakdown

Weights6.5 GB

KV Cache1.3 GB

Runtime1.2 GB

Headroom2.0 GB

See how fast it feels

See how fast it feelsNous Hermes 2 SOLAR 10.7B on RTX 4000 Ada 20GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API.

When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed.

Key benefits of running locally:
  - Full privacy: your prompts never leave your machine
  - No per-token cost or rate limits
  - Works offline once the model is downloaded
  - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb:

  Model size     Q4 (4-bit)    Q8 (8-bit)    FP16
  7B params      ~4.3 GB       ~7.5 GB       ~14 GB
  13B params     ~7.9 GB       ~13.9 GB      ~26 GB
  70B params     ~42.7 GB      ~74.9 GB      ~140 GB

Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 43.0 tok/s decode · 4.5s TTFT (warm) · 108 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Runs well	43.0 tok/s	2455 ms	131K
Coding	C	Runs well	43.0 tok/s	4500 ms	131K
Agentic Coding	C	Runs well	43.0 tok/s	6546 ms	131K
Reasoning	C	Runs well	43.0 tok/s	5318 ms	131K
RAG	C	Runs well	43.0 tok/s	8182 ms	131K

Quantization options

How Nous Hermes 2 SOLAR 10.7B (10.699999809265137B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	4.2 GB	Low	C46
Q3_K_S	3	5.2 GB	Low	C47
NVFP4	4

Get started

Copy-paste commands to run Nous Hermes 2 SOLAR 10.7B on your machine.

Run

lms load hf-thebloke--nous-hermes-2-solar-10-7b-gguf && lms server start

Upgrade options

Hardware that runs Nous Hermes 2 SOLAR 10.7B well

RTX 3090 24GBBudget pick

24 GB VRAM (+4)936 GB/s (+576)

Raises estimated decode speed by about 133%.100.4 tok/s decode

Raises estimated decode speed by about 133%.

~$1,499 MSRP

RTX 4090 24GBBest value

24 GB VRAM (+4)1008 GB/s (+648)

Raises estimated decode speed by about 173%.117.4 tok/s decode

Raises estimated decode speed by about 173%.

~$1,599 MSRP

RTX PRO 4000 Blackwell 24GBNVIDIA upgrade

24 GB VRAM (+4)672 GB/s (+312)

Raises estimated decode speed by about 101%.86.5 tok/s decode

Raises estimated decode speed by about 101%.

~$1,599 MSRP

Frequently asked questions

Can RTX 4000 Ada 20GB run Nous Hermes 2 SOLAR 10.7B?

Yes, RTX 4000 Ada 20GB can run Nous Hermes 2 SOLAR 10.7B with a C grade (Runs well). Expected decode speed: 43.0 tok/s.

How much VRAM does Nous Hermes 2 SOLAR 10.7B need?

Nous Hermes 2 SOLAR 10.7B (10.699999809265137B parameters) requires approximately 11.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Nous Hermes 2 SOLAR 10.7B?

The recommended quantization for Nous Hermes 2 SOLAR 10.7B is Q4_K_M, which balances quality and memory efficiency.

What speed will Nous Hermes 2 SOLAR 10.7B run at on RTX 4000 Ada 20GB?

On RTX 4000 Ada 20GB, Nous Hermes 2 SOLAR 10.7B achieves approximately 43.0 tokens per second decode speed with a time-to-first-token of 4500ms using Q4_K_M quantization.

Can RTX 4000 Ada 20GB run Nous Hermes 2 SOLAR 10.7B for coding?

For coding workloads, Nous Hermes 2 SOLAR 10.7B on RTX 4000 Ada 20GB receives a C grade with 43.0 tok/s and 131K context.

What context window can Nous Hermes 2 SOLAR 10.7B use on RTX 4000 Ada 20GB?

On RTX 4000 Ada 20GB, Nous Hermes 2 SOLAR 10.7B can safely use up to 131K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for RTX 4000 Ada 20GB See all hardware for Nous Hermes 2 SOLAR 10.7B

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