Will It Run AI

Can Nous Hermes 1.0 run on Intel Arc Pro B60 24GB?

YES — Tight Fit

A72Great
Estimated from fit model

Nous Hermes 1.0 needs ~21.0 GB VRAM. Intel Arc Pro B60 24GB has 24.0 GB. With Q4_K_M quantization, expect ~45 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: 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) — 21.0 GB, 44.9 tok/s, Tight fit
21.0 GB required24.0 GB available
88% VRAM used

Fit status

Tight fit

Decode

44.9 tok/s

TTFT

4316 ms

Safe context

16K

Memory

21.0 GB / 24.0 GB

Memory breakdown

Weights5.5 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom2.4 GB

See how fast it feels

See how fast it feelsNous Hermes 1.0 on Intel Arc Pro B60 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: 44.9 tok/s decode · 4.3s TTFT (warm) · 112 tok/s prefill

What limits this setup

The raw memory story may look fine, but the software ecosystem is still a constraint here.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatARuns well44.9 tok/s2354 ms16K
CodingATight fit44.9 tok/s4316 ms16K
Agentic CodingFToo heavy17.7 tok/s15920 ms16K
ReasoningATight fit44.9 tok/s5101 ms16K
RAGFToo heavy17.7 tok/s19900 ms16K

Quantization options

How Nous Hermes 1.0 (9B params) fits at each quantization level on Intel Arc Pro B60 24GB (24.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowB65
Q3_K_S
3
4.4 GB
LowB66
NVFP4
4
5.0 GB
MediumB66
Q4_K_M
4
5.5 GB
MediumB66
Q5_K_M
5
6.5 GB
HighB67
Q6_K
6
7.4 GB
HighB67
Q8_0
8
9.6 GB
Very HighB69
F16Best for your GPU
16
18.5 GB
MaximumA70

Get started

Copy-paste commands to run Nous Hermes 1.0 on your machine.

Run

lms load Nous-Hermes-1.0 && lms server start

Your hardware

More models your Intel Arc Pro B60 24GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS37.2 tok/s
AlibabaQwen 3.5 27B27BS16.1 tok/s
AlibabaQwen 3.6 27B27BS12.3 tok/s
AlibabaQwen 3.6 35B A3B35BA16.6 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS38.5 tok/s

Frequently asked questions

Can Intel Arc Pro B60 24GB run Nous Hermes 1.0?

Yes, Intel Arc Pro B60 24GB can run Nous Hermes 1.0 with a A grade (Tight fit). Expected decode speed: 44.9 tok/s.

How much VRAM does Nous Hermes 1.0 need?

Nous Hermes 1.0 (9B parameters) requires approximately 21.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Nous Hermes 1.0?

The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.

What speed will Nous Hermes 1.0 run at on Intel Arc Pro B60 24GB?

On Intel Arc Pro B60 24GB, Nous Hermes 1.0 achieves approximately 44.9 tokens per second decode speed with a time-to-first-token of 4316ms using Q4_K_M quantization.

Can Intel Arc Pro B60 24GB run Nous Hermes 1.0 for coding?

For coding workloads, Nous Hermes 1.0 on Intel Arc Pro B60 24GB receives a A grade with 44.9 tok/s and 16K context.

What context window can Nous Hermes 1.0 use on Intel Arc Pro B60 24GB?

On Intel Arc Pro B60 24GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.

What should I upgrade first if Nous Hermes 1.0 feels slow on Intel Arc Pro B60 24GB?

Prefer CUDA if you want the path of least resistance. If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Would CUDA be a better path than Intel Arc Pro B60 24GB for Nous Hermes 1.0?

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.

See all results for Intel Arc Pro B60 24GBSee all hardware for Nous Hermes 1.0
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