Will It Run AI

Can ai21labs AI21 Jamba Reasoning 3B run on RTX 5070 Ti 16GB?

YES — Runs Great

C46Usable
Estimated from fit model

ai21labs AI21 Jamba Reasoning 3B needs ~4.7 GB VRAM. RTX 5070 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~57 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) — 4.7 GB, 57.0 tok/s, Runs well
4.7 GB required16.0 GB available
29% VRAM used

Fit status

Runs well

Decode

57.0 tok/s

TTFT

3396 ms

Safe context

531K

Memory

4.7 GB / 16.0 GB

Memory breakdown

Weights1.8 GB
KV Cache0.4 GB
Runtime0.9 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsai21labs AI21 Jamba Reasoning 3B on RTX 5070 Ti 16GB
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: 57.0 tok/s decode · 3.4s TTFT (warm) · 143 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well57.0 tok/s1853 ms531K
CodingCRuns well57.0 tok/s3396 ms531K
Agentic CodingCRuns well57.0 tok/s4940 ms531K
ReasoningCRuns well57.0 tok/s4014 ms531K
RAGCRuns well57.0 tok/s6175 ms531K

Quantization options

How ai21labs AI21 Jamba Reasoning 3B (3B params) fits at each quantization level on RTX 5070 Ti 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowC45
Q3_K_S
3
1.5 GB
LowC45
NVFP4
4
1.7 GB
MediumC46
Q4_K_M
4
1.8 GB
MediumC46
Q5_K_M
5
2.2 GB
HighC46
Q6_K
6
2.5 GB
HighC46
Q8_0
8
3.2 GB
Very HighC47
F16Best for your GPU
16
6.1 GB
MaximumC49

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 RTX 5070 Ti 16GB run ai21labs AI21 Jamba Reasoning 3B?

Yes, RTX 5070 Ti 16GB can run ai21labs AI21 Jamba Reasoning 3B with a C grade (Runs well). Expected decode speed: 57.0 tok/s.

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

ai21labs AI21 Jamba Reasoning 3B (3B parameters) requires approximately 4.7 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 RTX 5070 Ti 16GB?

On RTX 5070 Ti 16GB, ai21labs AI21 Jamba Reasoning 3B achieves approximately 57.0 tokens per second decode speed with a time-to-first-token of 3396ms using Q4_K_M quantization.

Can RTX 5070 Ti 16GB run ai21labs AI21 Jamba Reasoning 3B for coding?

For coding workloads, ai21labs AI21 Jamba Reasoning 3B on RTX 5070 Ti 16GB receives a C grade with 57.0 tok/s and 531K context.

What context window can ai21labs AI21 Jamba Reasoning 3B use on RTX 5070 Ti 16GB?

On RTX 5070 Ti 16GB, ai21labs AI21 Jamba Reasoning 3B can safely use up to 531K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for RTX 5070 Ti 16GBSee all hardware for ai21labs AI21 Jamba Reasoning 3B
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