Will It Run AI

Can AI21 Jamba Reasoning 3B run on MacBook Pro M2 Max 96GB?

YES — Runs Great

C43Usable
Estimated from fit model

AI21 Jamba Reasoning 3B needs ~13.4 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~42 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) — 13.4 GB, 42.0 tok/s, Runs well
13.4 GB required69.1 GB available
19% VRAM used

Fit status

Runs well

Decode

42.0 tok/s

TTFT

4610 ms

Safe context

2.5M

Memory

13.4 GB / 69.1 GB

Memory breakdown

Weights1.8 GB
KV Cache0.4 GB
Runtime0.9 GB
Headroom10.4 GB

See how fast it feels

See how fast it feelsAI21 Jamba Reasoning 3B on MacBook Pro M2 Max 96GB
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: 42.0 tok/s decode · 4.6s TTFT (warm) · 105 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 well42.0 tok/s2514 ms2.5M
CodingCRuns well42.0 tok/s4610 ms2.5M
Agentic CodingCRuns well42.0 tok/s6705 ms2.5M
ReasoningCRuns well42.0 tok/s5448 ms2.5M
RAGCRuns well42.0 tok/s8381 ms2.5M

Quantization options

How AI21 Jamba Reasoning 3B (3B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowD40
Q3_K_S
3
1.5 GB
LowD40
NVFP4
4
1.7 GB
MediumD40
Q4_K_M
4
1.8 GB
MediumD40
Q5_K_M
5
2.2 GB
HighD40
Q6_K
6
2.5 GB
HighD40
Q8_0
8
3.2 GB
Very HighD40
F16Best for your GPU
16
6.1 GB
MaximumC40

Get started

Copy-paste commands to run AI21 Jamba Reasoning 3B on your machine.

Run

lms load hf-ai21labs--ai21-jamba-reasoning-3b-gguf && lms server start

Frequently asked questions

Can MacBook Pro M2 Max 96GB run AI21 Jamba Reasoning 3B?

Yes, MacBook Pro M2 Max 96GB can run AI21 Jamba Reasoning 3B with a C grade (Runs well). Expected decode speed: 42.0 tok/s.

How much VRAM does AI21 Jamba Reasoning 3B need?

AI21 Jamba Reasoning 3B (3B parameters) requires approximately 13.4 GB of memory with Q4_K_M quantization.

What is the best quantization for AI21 Jamba Reasoning 3B?

The recommended quantization for AI21 Jamba Reasoning 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will AI21 Jamba Reasoning 3B run at on MacBook Pro M2 Max 96GB?

On MacBook Pro M2 Max 96GB, AI21 Jamba Reasoning 3B achieves approximately 42.0 tokens per second decode speed with a time-to-first-token of 4610ms using Q4_K_M quantization.

Can MacBook Pro M2 Max 96GB run AI21 Jamba Reasoning 3B for coding?

For coding workloads, AI21 Jamba Reasoning 3B on MacBook Pro M2 Max 96GB receives a C grade with 42.0 tok/s and 2.5M context.

What context window can AI21 Jamba Reasoning 3B use on MacBook Pro M2 Max 96GB?

On MacBook Pro M2 Max 96GB, AI21 Jamba Reasoning 3B can safely use up to 2.5M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M2 Max 96GB as fast as VRAM for AI21 Jamba Reasoning 3B?

Not always. MacBook Pro M2 Max 96GB 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 M2 Max 96GBSee all hardware for AI21 Jamba Reasoning 3B
Embed this result▼

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

<iframe src="https://willitrunai.com/embed/hf-ai21labs--ai21-jamba-reasoning-3b-gguf-on-m2-max-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: