Can Hermes 4.3 36B run on MacBook Pro M3 Max 128GB?

YES — Runs Great

C44Usable
Estimated from fit model

Hermes 4.3 36B needs ~40.9 GB VRAM. MacBook Pro M3 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~11 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced
Share:

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) 40.9 GB, 10.9 tok/s, Runs well
40.9 GB required92.2 GB available
44% VRAM used

Fit status

Runs well

Decode

10.9 tok/s

TTFT

17714 ms

Safe context

210K

Memory

40.9 GB / 92.2 GB

Memory breakdown

Weights22.0 GB
KV Cache4.2 GB
Runtime0.9 GB
Headroom13.8 GB

See how fast it feels

See how fast it feelsHermes 4.3 36B on MacBook Pro M3 Max 128GB
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: 10.9 tok/s decode · 17.7s TTFT (warm) · 27 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Shared-memory contention still exists

The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well10.9 tok/s9662 ms210K
CodingCRuns well10.9 tok/s17714 ms210K
Agentic CodingCRuns well10.9 tok/s25766 ms210K
ReasoningCRuns well10.9 tok/s20935 ms210K
RAGCRuns well10.9 tok/s32208 ms210K

Quantization options

How Hermes 4.3 36B (36B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
14.0 GB
LowD40
Q3_K_S
3
17.6 GB
LowC40
NVFP4
4
20.2 GB
MediumC41
Q4_K_M
4
22.0 GB
MediumC41
Q5_K_M
5
25.9 GB
HighC42
Q6_K
6
29.5 GB
HighC42
Q8_0
8
38.5 GB
Very HighC44
F16Best for your GPU
16
73.8 GB
MaximumC48

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-Optionen

Hardware, die Hermes 4.3 36B gut ausführt

Frequently asked questions

Can MacBook Pro M3 Max 128GB run Hermes 4.3 36B?

Yes, MacBook Pro M3 Max 128GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 10.9 tok/s.

How much VRAM does Hermes 4.3 36B need?

Hermes 4.3 36B (36B parameters) requires approximately 40.9 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 MacBook Pro M3 Max 128GB?

On MacBook Pro M3 Max 128GB, Hermes 4.3 36B achieves approximately 10.9 tokens per second decode speed with a time-to-first-token of 17714ms using Q4_K_M quantization.

Can MacBook Pro M3 Max 128GB run Hermes 4.3 36B for coding?

For coding workloads, Hermes 4.3 36B on MacBook Pro M3 Max 128GB receives a C grade with 10.9 tok/s and 210K context.

What context window can Hermes 4.3 36B use on MacBook Pro M3 Max 128GB?

On MacBook Pro M3 Max 128GB, Hermes 4.3 36B can safely use up to 210K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M3 Max 128GB as fast as VRAM for Hermes 4.3 36B?

Not always. MacBook Pro M3 Max 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.

See all results for MacBook Pro M3 Max 128GBSee all hardware for Hermes 4.3 36B
Embed this result

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/hf-nousresearch--hermes-4-3-36b-gguf-on-m3-max-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: