Skip to main content

MapikaDecision modelOpen source

Decider 2B Vision

PopularityRank 358 of 876

36out of 100-4 vs. last month

Summary

Decider 2B Vision adds images to the Decider readout. You provide an image, text, and typed questions, and the 1.9-billion-parameter checkpoint returns probabilities over your supplied options. Its context window holds 32,000 tokens.

For text-only inputs, Decider 2B is the counterpart. The vision variant adds an image to a text question, for example when inspecting a frame.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 30 published benchmark results

Page 1 of 3

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

Visual7W held-out (Show measurement, test conditions, and source)
Source value
0.89
Score
0.89
Metric
accuracy
Unit
ratio
Category
vision-decision
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika Decider vision model card
Status
active
Retrieved at
2026-10-15
Methodology
Vendor-reported result. decider-2b-vision; Visual7W held-out; 300 items per task.
Source Mapika Decider vision model card
A-OKVQA (Show measurement, test conditions, and source)
Source value
0.85
Score
0.85
Metric
accuracy
Unit
ratio
Category
vision-decision
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika Decider vision model card
Status
active
Retrieved at
2026-10-15
Methodology
Vendor-reported result. decider-2b-vision; A-OKVQA; 300 items per task.
Source Mapika Decider vision model card
Pong RAM-state teacher agreement (Show measurement, test conditions, and source)
Source value
0.96
Score
0.96
Metric
agreement with RAM-state teacher
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
Breakout RAM-state teacher agreement (Show measurement, test conditions, and source)
Source value
0.96
Score
0.96
Metric
agreement with RAM-state teacher
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
AI2D (Show measurement, test conditions, and source)
Source value
0.93
Score
0.93
Metric
accuracy
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
ScienceQA (Show measurement, test conditions, and source)
Source value
0.95
Score
0.95
Metric
accuracy
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
IconQA (Show measurement, test conditions, and source)
Source value
0.94
Score
0.94
Metric
accuracy
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
Raven (Show measurement, test conditions, and source)
Source value
0.8
Score
0.8
Metric
accuracy
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
Hateful Memes (Show measurement, test conditions, and source)
Source value
0.8
Score
0.8
Metric
accuracy
Unit
ratio
Benchmark version
Mapika/decider MODEL_CARD_VISION.md; repository revision d6fc522aed7fc392576a9b66a330409bc6c382bd; text weights v5
Direction
Higher is better
Sample
300
Source type
vendor-reported
Evaluator
Mapika, Decider vision model card
Status
active
Retrieved at
2026-10-16
Methodology
Vendor-reported result. Decider-2B-Vision v5 text weights transplanted into Qwen3.5-2B; the official card reports 300 cases per task; card revision d6fc522aed7fc392576a9b66a330409bc6c382bd.
Context
These are exact card figures for its v5-derived vision experiment, not general held-out visual reasoning. Some task material or supervision is in the documented training sources.
Source Mapika, Decider vision model card
NaturalBench overall accuracy (Show measurement, test conditions, and source)
Source value
0.7942
Score
0.7942
Metric
accuracy
Unit
ratio
Benchmark version
NaturalBench dataset revision ba41a7d564877a9b64c094b08015ca493cc3e54b
Category
vision
Direction
Higher is better
Sample
1200
Source type
community-reported
Evaluator
Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03
Status
active
Retrieved at
2026-10-17
Methodology
Community-reported result. Mapika/decider-2b-vision@863e290863655f1d6b69324d77d09ac972d21609, bfloat16; evaluation script at commit 333b7f4a0662f8e8bd6d8eb9b193c24a75c9f032, torch 2.7.1+cu126, transformers 5.18.0, 1x NVIDIA H100 80GB. Mapika's own visual model code and prompt, one image resized to at most 768x768 pixels. NaturalBench, 300 groups x 2 images x 2 questions; one item is one image-question pair. Scope: overall.
Context
Community-published evaluation, not an independently verified run. It uses Mapika's own model loader and answer-slot prompt. The report pins the evaluated model and datasets but does not provide an independently reproduced result.
Source Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03
NaturalBench overall multiclass Brier score (Show measurement, test conditions, and source)
Source value
0.3036
Score
0.3036
Metric
multiclass Brier score
Unit
ratio
Benchmark version
NaturalBench dataset revision ba41a7d564877a9b64c094b08015ca493cc3e54b
Category
vision
Direction
Lower is better
Sample
1200
Source type
community-reported
Evaluator
Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03
Status
active
Retrieved at
2026-10-17
Methodology
Community-reported result. Mapika/decider-2b-vision@863e290863655f1d6b69324d77d09ac972d21609, bfloat16; evaluation script at commit 333b7f4a0662f8e8bd6d8eb9b193c24a75c9f032, torch 2.7.1+cu126, transformers 5.18.0, 1x NVIDIA H100 80GB. Mapika's own visual model code and prompt, one image resized to at most 768x768 pixels. NaturalBench, 300 groups x 2 images x 2 questions; one item is one image-question pair. Scope: overall.
Context
Community-published evaluation, not an independently verified run. It uses Mapika's own model loader and answer-slot prompt. The report pins the evaluated model and datasets but does not provide an independently reproduced result.
Source Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03
NaturalBench overall expected calibration error (10 equal-width bins) (Show measurement, test conditions, and source)
Source value
0.0799
Score
0.0799
Metric
expected calibration error (10 equal-width bins)
Unit
ratio
Benchmark version
NaturalBench dataset revision ba41a7d564877a9b64c094b08015ca493cc3e54b
Category
vision
Direction
Lower is better
Sample
1200
Source type
community-reported
Evaluator
Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03
Status
active
Retrieved at
2026-10-17
Methodology
Community-reported result. Mapika/decider-2b-vision@863e290863655f1d6b69324d77d09ac972d21609, bfloat16; evaluation script at commit 333b7f4a0662f8e8bd6d8eb9b193c24a75c9f032, torch 2.7.1+cu126, transformers 5.18.0, 1x NVIDIA H100 80GB. Mapika's own visual model code and prompt, one image resized to at most 768x768 pixels. NaturalBench, 300 groups x 2 images x 2 questions; one item is one image-question pair. Scope: overall.
Context
Community-published evaluation, not an independently verified run. It uses Mapika's own model loader and answer-slot prompt. The report pins the evaluated model and datasets but does not provide an independently reproduced result.
Source Strands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03

Page 1 of 3

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

0 to 100, higher is more popular

20 of 37 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 6, 2026

Decider 2B VisionIntern-Decision-2B 37CLM-v0.1-8B 37Jeff 1 36GLiNER2.5-Decide-1B 34

Method changes in the timeline, a jump at these points is no market event:

  1. 1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

All specifications

Architecture

Model class
Typed decision model
Source: Model class
Parameters
2 billion
Source: Parameters
Base model
Qwen3.5-2B Vision
Source: Base model

Input and output

Input
Image, text and typed questions
Source: Input
Output
Structured probabilities, no text generation
Source: Output
Context window
32,000 tokens
Source: Context window

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Access
Local
Source: Access
License
Apache-2.0
Source: License

API

Model ID
Mapika/decider-2b-vision
Source: Model ID

Further details

Result
Choice, Noul and Score as probability distributions
Source: Result
Scope
Local readout without autoregressive text generation.
Source: Scope
Notes
The model is intended for structured decisions, not multi-step text answers.
Source: Notes
Choice options
2-255 per question
Source: Choice options

Sources and data date

Show all 17 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Research statusResearch date October 15, 2026. 9 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not found in the inspected sources

Exact model result in the public Decision Index 0.4.1 panel

Note

This index edition has no row that can be mapped to the profile repository/checkpoint exactly. This does not imply the model lacks results in other benchmarks.

Additional sourceDecider repository (retrieved September 24, 2026) · Decider repository · Editorial description reviewed October 2, 2026
Additional sourceDecider model card (retrieved September 24, 2026) · Decider model card · Editorial description reviewed October 2, 2026
Additional sourceDecider 2B Vision checkpoint (retrieved September 24, 2026) · Decider 2B Vision checkpoint · Editorial description reviewed October 2, 2026
Additional sourceMapika Decider vision model card (retrieved October 15, 2026; October 24, 2026)
Additional sourceMapika, Decider vision model card (retrieved October 16, 2026)
Additional sourceStrands Decider vision evaluation, GitHub release asset vision-eval-2026-10-03 (retrieved October 17, 2026)
Additional sourceModel metadata (retrieved October 17, 2026)12345
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0