Mac Studio M3 Ultra 256GBBudget pick
256 GB Unified (+128)
C
Adds memory headroom for longer context windows and future model growth.42 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
Can ai21labs AI21 Jamba Reasoning 3B run on AMD Instinct MI300A 128GB?
YES — Runs Great
C42Usable
○Estimated from fit model
ai21labs AI21 Jamba Reasoning 3B needs ~15.9 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~42 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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.
Select quantization to explore
Q4_K_M (Medium quality) — 15.9 GB, 42.0 tok/s, Runs well
15.9 GB required128.0 GB available
12% VRAM used
Fit status
Runs well
Decode
42.0 tok/s
TTFT
4610 ms
Safe context
5.1M
Memory
15.9 GB / 128.0 GB
Memory breakdown
Weights1.8 GB
KV Cache0.4 GB
Runtime0.9 GB
Headroom12.8 GB
See how fast it feels
See how fast it feelsai21labs AI21 Jamba Reasoning 3B on AMD Instinct MI300A 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: 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.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 42.0 tok/s | 2514 ms | 5.1M |
| Coding | C | Runs well | 42.0 tok/s | 4610 ms | 5.1M |
| Agentic Coding | C | Runs well | 42.0 tok/s | 6705 ms | 5.1M |
| Reasoning | C | Runs well | 42.0 tok/s | 5448 ms | 5.1M |
| RAG | C | Runs well | 42.0 tok/s | 8381 ms | 5.1M |
Quantization options
How ai21labs AI21 Jamba Reasoning 3B (3B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | D38 |
Q3_K_S | 3 | 1.5 GB | Low | D38 |
NVFP4 | 4 | 1.7 GB | Medium | D38 |
Q4_K_M | 4 | 1.8 GB | Medium | D38 |
Q5_K_M | 5 | 2.2 GB | High | D38 |
Q6_K | 6 | 2.5 GB | High | D38 |
Q8_0 | 8 | 3.2 GB | Very High | D38 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | D38 |
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 startUpgrade options