🧠
Visual Verdict 2b model by kinasr
⭐ 39.1
🧠
Model

Visual Verdict 2b

by kinasr kinasr/visual-verdict-2b
Free2AITools Nexus Index
39.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 100
Q: Quality 65
Tech Context
2.18 Params
4.096K Ctx
Vital Performance
7 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.1 FNI Score
Tiny 2.18B Params
4k Context
7 Downloads
8G GPU ~3GB Est. VRAM
Dense D1MODEL Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID kinasr/visual-verdict-2b
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{kinasr_visual_verdict_2b,
  author = {kinasr},
  title = {Visual Verdict 2b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/kinasr/visual-verdict-2b}},
  note = {Accessed via Free2AITools.}
}
APA Style
kinasr. (2026). Visual Verdict 2b [Model]. Free2AITools. https://huggingface.co/kinasr/visual-verdict-2b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run visual-verdict-2b
πŸ€— HF Download
huggingface-cli download kinasr/visual-verdict-2b
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 1
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Visual Verdict 2b: Authority (A:0), Popularity (P:1), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
7Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--kinasr--visual-verdict-2b
slug
kinasr--visual-verdict-2b
source
huggingface
author
kinasr
license
Other
tags
transformers, safetensors, lfm3_vl, feature-extraction, vision, visual-regression-testing, web-testing, quality-assurance, ui-testing, playwright, liquid, lfm3, d1-2b, system-one, decision-model, calibration, custom_code, image-text-to-text, conversational, base_model:liquidai/d1-2b, base_model:finetune:liquidai/d1-2b, license:other, region:us

βš™οΈ Technical Specs

architecture
D1Model
params billions
2.18
context length
4,096
pipeline tag
image-text-to-text
vram gb
2.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
7

Data indexed from public sources. Updated daily.