Will It Run AI

Can ai21labs AI21 Jamba Reasoning 3B run on Mac Studio M1 Ultra 64GB?

YES — Runs Great

C44Usable
Estimated from fit model

ai21labs AI21 Jamba Reasoning 3B needs ~10.0 GB VRAM. Mac Studio M1 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~42 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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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) — 10.0 GB, 42.0 tok/s, Runs well
10.0 GB required46.1 GB available
22% VRAM used

Fit status

Runs well

Decode

42.0 tok/s

TTFT

4610 ms

Safe context

1.7M

Memory

10.0 GB / 46.1 GB

Memory breakdown

Weights1.8 GB
KV Cache0.4 GB
Runtime0.9 GB
Headroom6.9 GB

See how fast it feels

See how fast it feelsai21labs AI21 Jamba Reasoning 3B on Mac Studio M1 Ultra 64GB
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 ms1.7M
CodingCRuns well42.0 tok/s4610 ms1.7M
Agentic CodingCRuns well42.0 tok/s6705 ms1.7M
ReasoningCRuns well42.0 tok/s5448 ms1.7M
RAGCRuns well42.0 tok/s8381 ms1.7M

Quantization options

How ai21labs AI21 Jamba Reasoning 3B (3B params) fits at each quantization level on Mac Studio M1 Ultra 64GB (46.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowC41
Q3_K_S
3
1.5 GB
LowC41
NVFP4
4
1.7 GB
MediumC41
Q4_K_M
4
1.8 GB
MediumC41
Q5_K_M
5
2.2 GB
HighC41
Q6_K
6
2.5 GB
HighC41
Q8_0
8
3.2 GB
Very HighC41
F16Best for your GPU
16
6.1 GB
MaximumC42

Get started

Copy-paste commands to run ai21labs AI21 Jamba Reasoning 3B on your machine.

Run

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

Frequently asked questions

Can Mac Studio M1 Ultra 64GB run ai21labs AI21 Jamba Reasoning 3B?

Yes, Mac Studio M1 Ultra 64GB can run ai21labs AI21 Jamba Reasoning 3B with a C grade (Runs well). Expected decode speed: 42.0 tok/s.

How much VRAM does ai21labs AI21 Jamba Reasoning 3B need?

ai21labs AI21 Jamba Reasoning 3B (3B parameters) requires approximately 10.0 GB of memory with Q4_K_M quantization.

What is the best quantization for ai21labs AI21 Jamba Reasoning 3B?

The recommended quantization for ai21labs AI21 Jamba Reasoning 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will ai21labs AI21 Jamba Reasoning 3B run at on Mac Studio M1 Ultra 64GB?

On Mac Studio M1 Ultra 64GB, ai21labs 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 Mac Studio M1 Ultra 64GB run ai21labs AI21 Jamba Reasoning 3B for coding?

For coding workloads, ai21labs AI21 Jamba Reasoning 3B on Mac Studio M1 Ultra 64GB receives a C grade with 42.0 tok/s and 1.7M context.

What context window can ai21labs AI21 Jamba Reasoning 3B use on Mac Studio M1 Ultra 64GB?

On Mac Studio M1 Ultra 64GB, ai21labs AI21 Jamba Reasoning 3B can safely use up to 1.7M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on Mac Studio M1 Ultra 64GB as fast as VRAM for ai21labs AI21 Jamba Reasoning 3B?

Not always. Mac Studio M1 Ultra 64GB 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 Mac Studio M1 Ultra 64GBSee all hardware for ai21labs AI21 Jamba Reasoning 3B
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ai21labs AI21 Jamba Reasoning 3B on Mac Studio M1 Ultra 64G…