Can Hermes 4.3 36B run on AMD Instinct MI100 32GB?

Q: What should I upgrade first if Hermes 4.3 36B feels slow on AMD Instinct MI100 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 — Tight Fit

C51Usable

Estimated from fit model

Hermes 4.3 36B needs ~30.3 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~36 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: HighStack: 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) — 30.3 GB, 36.3 tok/s, Tight fit

30.3 GB required32.0 GB available

95% VRAM used

Fit status

Tight fit

Decode

36.3 tok/s

TTFT

5326 ms

Safe context

23K

Memory

30.3 GB / 32.0 GB

Memory breakdown

Weights22.0 GB

KV Cache4.2 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsHermes 4.3 36B on AMD Instinct MI100 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: 36.3 tok/s decode · 5.3s TTFT (warm) · 91 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	36.3 tok/s	2905 ms	23K
Coding	C	Tight fit	36.3 tok/s	5326 ms	23K
Agentic Coding	D	Runs with offload	23.3 tok/s	12100 ms	23K
Reasoning	C	Tight fit	36.3 tok/s	6295 ms	23K
RAG	D	Runs with offload	23.3 tok/s	15125 ms	23K

Quantization options

How Hermes 4.3 36B (36B params) fits at each quantization level on AMD Instinct MI100 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

Radeon Pro W7900 48GBBudget pick

48 GB VRAM (+16)

Adds memory headroom for longer context windows and future model growth.23.2 tok/s decode

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

~$3,999 MSRP

Radeon PRO W7900 DS 48GBBest value

48 GB VRAM (+16)

Adds memory headroom for longer context windows and future model growth.23.2 tok/s decode

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

~$3,999 MSRP

AMD Instinct MI210 64GBAMD upgrade

64 GB VRAM (+32)1638 GB/s (+410)

Raises estimated decode speed by about 40%.50.7 tok/s decode

Raises estimated decode speed by about 40%.

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

~$10,000 MSRP

Frequently asked questions

Can AMD Instinct MI100 32GB run Hermes 4.3 36B?

Yes, AMD Instinct MI100 32GB can run Hermes 4.3 36B with a C grade (Tight fit). Expected decode speed: 36.3 tok/s.

How much VRAM does Hermes 4.3 36B need?

Hermes 4.3 36B (36B parameters) requires approximately 30.3 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 AMD Instinct MI100 32GB?

On AMD Instinct MI100 32GB, Hermes 4.3 36B achieves approximately 36.3 tokens per second decode speed with a time-to-first-token of 5326ms using Q4_K_M quantization.

Can AMD Instinct MI100 32GB run Hermes 4.3 36B for coding?

For coding workloads, Hermes 4.3 36B on AMD Instinct MI100 32GB receives a C grade with 36.3 tok/s and 23K context.

What context window can Hermes 4.3 36B use on AMD Instinct MI100 32GB?

On AMD Instinct MI100 32GB, Hermes 4.3 36B can safely use up to 23K 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 AMD Instinct MI100 32GB?

See all results for AMD Instinct MI100 32GB See all hardware for Hermes 4.3 36B

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