Can Hermes 4.3 36B run on NVIDIA V100 32GB?

Q: What should I upgrade first if Hermes 4.3 36B feels slow on NVIDIA V100 32GB?

Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

YES — With Offload

C50Usable

Estimated from fit model

Hermes 4.3 36B needs ~30.6 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~28 tok/s.

Runtime: OllamaCapacity: OffloadBandwidth: HighStack: 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) — 30.6 GB, 27.5 tok/s, Runs with offload

30.6 GB required32.0 GB available

96% VRAM used

Fit status

Runs with offload

Decode

27.5 tok/s

TTFT

7051 ms

Safe context

21K

Memory

30.6 GB / 32.0 GB

Memory breakdown

Weights22.0 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsHermes 4.3 36B on NVIDIA V100 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: 27.5 tok/s decode · 7.1s TTFT (warm) · 69 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Very little memory headroom

You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.

Best improvement path

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Tight fit	27.5 tok/s	3846 ms	21K
Coding	C	Runs with offload	27.5 tok/s	7051 ms	21K
Agentic Coding	D	Very compromised (needs ~1.8 GB host RAM)	20.4 tok/s	13807 ms	21K
Reasoning	C	Runs with offload	27.5 tok/s	8332 ms	21K
RAG	D	Very compromised (needs ~1.8 GB host RAM)	20.4 tok/s	17258 ms

Quantization options

How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	14.0 GB	Low	C48
Q3_K_S	3	17.6 GB	Low	C49
NVFP4	4

Get started

Copy-paste commands to run Hermes 4.3 36B on your machine.

Run

lms load hf-nousresearch--hermes-4-3-36b-gguf && lms server start

Upgrade options

Hardware that runs Hermes 4.3 36B well

RTX A6000 48GBBudget pick

48 GB VRAM (+16)

Adds memory headroom for longer context windows and future model growth.26.6 tok/s decode

Adds memory headroom for longer context windows and future model growth.

~$4,650 MSRP

RTX PRO 5000 Blackwell 48GBBest value

48 GB VRAM (+16)1344 GB/s (+444)

Raises estimated decode speed by about 87%.51.4 tok/s decode

Raises estimated decode speed by about 87%.

Adds memory headroom for longer context windows and future model growth.

~$4,999 MSRP

NVIDIA L40 48GBNVIDIA upgrade

48 GB VRAM (+16)

Adds memory headroom for longer context windows and future model growth.30.7 tok/s decode

Adds memory headroom for longer context windows and future model growth.

~$5,500 MSRP

Frequently asked questions

Can NVIDIA V100 32GB run Hermes 4.3 36B?

Yes, NVIDIA V100 32GB can run Hermes 4.3 36B with a C grade (Runs with offload). Expected decode speed: 27.5 tok/s.

How much VRAM does Hermes 4.3 36B need?

Hermes 4.3 36B (36B parameters) requires approximately 30.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Hermes 4.3 36B?

The recommended quantization for Hermes 4.3 36B is Q4_K_M, which balances quality and memory efficiency.

What speed will Hermes 4.3 36B run at on NVIDIA V100 32GB?

On NVIDIA V100 32GB, Hermes 4.3 36B achieves approximately 27.5 tokens per second decode speed with a time-to-first-token of 7051ms using Q4_K_M quantization.

Can NVIDIA V100 32GB run Hermes 4.3 36B for coding?

For coding workloads, Hermes 4.3 36B on NVIDIA V100 32GB receives a C grade with 27.5 tok/s and 21K context.

What context window can Hermes 4.3 36B use on NVIDIA V100 32GB?

On NVIDIA V100 32GB, Hermes 4.3 36B can safely use up to 21K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

What should I upgrade first if Hermes 4.3 36B feels slow on NVIDIA V100 32GB?

See all results for NVIDIA V100 32GB See all hardware for Hermes 4.3 36B

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