Can Nous Hermes 1.0 run on Radeon AI PRO R9700 32GB?

YES — Runs Great

A76Great

Estimated from fit model

Nous Hermes 1.0 needs ~21.8 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~69 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: 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) — 21.8 GB, 68.8 tok/s, Runs well

21.8 GB required32.0 GB available

68% VRAM used

Fit status

Runs well

Decode

68.8 tok/s

TTFT

2815 ms

Safe context

16K

Memory

21.8 GB / 32.0 GB

Memory breakdown

Weights5.5 GB

KV Cache12.2 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsNous Hermes 1.0 on Radeon AI PRO R9700 32GB
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: 68.8 tok/s decode · 2.8s TTFT (warm) · 172 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	A	Runs well	68.8 tok/s	1535 ms	16K
Coding	A	Runs well	68.8 tok/s	2815 ms	16K
Agentic Coding	B	Runs with offload (needs ~0.3 GB host RAM)	46.5 tok/s	6060 ms	16K
Reasoning	A	Runs well	68.8 tok/s	3327 ms	16K
RAG	B	Runs with offload (needs ~0.3 GB host RAM)	46.5 tok/s	7575 ms	16K

Quantization options

How Nous Hermes 1.0 (9B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	B64
Q3_K_S	3	4.4 GB	Low	B64
NVFP4	4	5.0 GB	Medium	B64
Q4_K_M	4	5.5 GB	Medium	B64
Q5_K_M	5	6.5 GB	High	B65
Q6_K	6	7.4 GB	High	B65
Q8_0	8	9.6 GB	Very High	B66
F16Best for your GPU	16	18.5 GB	Maximum	B70

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 Radeon AI PRO R9700 32GB can run

Model	Params	Grade	Decode
Qwen3-Coder 30B A3B Instruct	30.5B	S	57.1 tok/s
Qwen 3.5 27B	27B	S	24.8 tok/s
Qwen 3.6 27B	27B	S	18.8 tok/s
Qwen 3.6 35B A3B	35B	S	48 tok/s
Qwen3-VL 30B A3B Instruct	30B	S	59.1 tok/s

Frequently asked questions

Can Radeon AI PRO R9700 32GB run Nous Hermes 1.0?

Yes, Radeon AI PRO R9700 32GB can run Nous Hermes 1.0 with a A grade (Runs well). Expected decode speed: 68.8 tok/s.

How much VRAM does Nous Hermes 1.0 need?

Nous Hermes 1.0 (9B parameters) requires approximately 21.8 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 Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, Nous Hermes 1.0 achieves approximately 68.8 tokens per second decode speed with a time-to-first-token of 2815ms using Q4_K_M quantization.

Can Radeon AI PRO R9700 32GB run Nous Hermes 1.0 for coding?

For coding workloads, Nous Hermes 1.0 on Radeon AI PRO R9700 32GB receives a A grade with 68.8 tok/s and 16K context.

What context window can Nous Hermes 1.0 use on Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, 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.

See all results for Radeon AI PRO R9700 32GB See all hardware for Nous Hermes 1.0

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