🧠
Prism Caption 1 Micro model by VertexAGI
⭐ 40.2
🧠
Model

Prism Caption 1 Micro

by VertexAGI vertexagi/prism-caption-1-micro
Free2AITools Nexus Index
40.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 12
R: Recency 98
Q: Quality 65
Tech Context
0.2B Params
8.192K Ctx
Vital Performance
168 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.2 FNI Score
Tiny 0.2B Params
8k Context
168 Downloads
8G GPU ~2GB Est. VRAM
Dense GEMMA3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID vertexagi/prism-caption-1-micro
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{vertexagi_prism_caption_1_micro,
  author = {VertexAGI},
  title = {Prism Caption 1 Micro Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/VertexAGI/prism-caption-1-micro}},
  note = {Accessed via Free2AITools.}
}
APA Style
VertexAGI. (2026). Prism Caption 1 Micro [Model]. Free2AITools. https://huggingface.co/VertexAGI/prism-caption-1-micro

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run prism-caption-1-micro
πŸ€— HF Download
huggingface-cli download vertexagi/prism-caption-1-micro

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) 12
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Prism Caption 1 Micro: Authority (A:0), Popularity (P:12), Recency (R:98), 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
168Downloads
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--vertexagi--prism-caption-1-micro
slug
vertexagi--prism-caption-1-micro
source
huggingface
author
VertexAGI
license
Apache-2.0
tags
mlx, safetensors, gguf, gemma3_text, chat-titling, summarization, lora, distillation, conversational, text-generation, en, base_model:mlx-community/gemma-3-1b-it-4bit, license:apache-2.0, endpoints_compatible, 4-bit, region:us

βš™οΈ Technical Specs

architecture
Gemma3ForCausalLM
params billions
0.2
context length
8,192
pipeline tag
text-generation
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
168

Data indexed from public sources. Updated daily.