Can AI21 Jamba Reasoning 3B run on RTX 5070 12GB?

YES — Runs Great

C48Usable

Estimated from fit model

AI21 Jamba Reasoning 3B needs ~4.3 GB VRAM. RTX 5070 12GB has 12.0 GB. With Q4_K_M quantization, expect ~57 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced

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) — 4.3 GB, 57.0 tok/s, Runs well

4.3 GB required12.0 GB available

36% VRAM used

Fit status

Runs well

Decode

57.0 tok/s

TTFT

3396 ms

Safe context

367K

Memory

4.3 GB / 12.0 GB

Memory breakdown

Weights1.8 GB

KV Cache0.4 GB

Runtime0.9 GB

Headroom1.2 GB

See how fast it feels

See how fast it feelsAI21 Jamba Reasoning 3B on RTX 5070 12GB
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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Runs well	57.0 tok/s	1853 ms	367K
Coding	C	Runs well	57.0 tok/s	3396 ms	367K
Agentic Coding	C	Runs well	57.0 tok/s	4940 ms	367K
Reasoning	C	Runs well	57.0 tok/s	4014 ms	367K
RAG	C	Runs well	57.0 tok/s	6175 ms	367K

Inference speed

AI21 Jamba Reasoning 3B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for AI21 Jamba Reasoning 3B at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~57 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / Mac	Memory	Quant	Speed (tok/s)	Fits?
RTX 5090 32GB	32 GB	Q4_K_M	57.0	Fits
RTX 4090 24GB	24 GB	Q4_K_M	48.0	Fits
RTX 4080 Super 16GB	16 GB	Q4_K_M	48.0

Quantization options

How AI21 Jamba Reasoning 3B (3B params) fits at each quantization level on RTX 5070 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	C47
Q3_K_S	3	1.5 GB	Low	C47
NVFP4	4

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 RTX 5070 12GB run AI21 Jamba Reasoning 3B?

Yes, RTX 5070 12GB can run AI21 Jamba Reasoning 3B with a C grade (Runs well). Expected decode speed: 57.0 tok/s.

How much VRAM does AI21 Jamba Reasoning 3B need?

AI21 Jamba Reasoning 3B (3B parameters) requires approximately 4.3 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 RTX 5070 12GB?

On RTX 5070 12GB, 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 12GB run AI21 Jamba Reasoning 3B for coding?

For coding workloads, AI21 Jamba Reasoning 3B on RTX 5070 12GB receives a C grade with 57.0 tok/s and 367K context.

What context window can AI21 Jamba Reasoning 3B use on RTX 5070 12GB?

On RTX 5070 12GB, AI21 Jamba Reasoning 3B can safely use up to 367K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for RTX 5070 12GB See all hardware for AI21 Jamba Reasoning 3B

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