🧠
Vila1.5 3b model by Efficient Large Model
⭐ 32.6
🧠
Model

Vila1.5 3b

by Efficient Large Model efficient-large-model/vila1.5-3b
Free2AITools Nexus Index
32.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 50
P: Popularity 50
R: Recency 20
Q: Quality 65
Tech Context
3 Params
4.096K Ctx
Vital Performance
25.1K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 32.6 FNI Score
3B Params
4k Context
25.1K Downloads
8G GPU ~4GB Est. VRAM
Dense LLAVALLAMAMODEL Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID efficient-large-model/vila1.5-3b
License CC-BY-NC-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efficient_large_model_vila1_5_3b,
  author = {Efficient Large Model},
  title = {Vila1.5 3b Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/Efficient-Large-Model/VILA1.5-3b}},
  note = {Accessed via Free2AITools.}
}
APA Style
Efficient Large Model. (2024). Vila1.5 3b [Model]. Free2AITools. https://huggingface.co/Efficient-Large-Model/VILA1.5-3b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run vila1.5-3b
πŸ€— HF Download
huggingface-cli download efficient-large-model/vila1.5-3b
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) 50
Popularity (P) 50
Recency (R) 20
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Vila1.5 3b: Authority (A:50), Popularity (P:50), Recency (R:20), 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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⚠️ Incomplete Data

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

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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
25.1KDownloads
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--efficient-large-model--vila1.5-3b
slug
efficient-large-model--vila1.5-3b
source
huggingface
author
Efficient Large Model
license
CC-BY-NC-4.0
tags
transformers, safetensors, llava_llama, vila, vlm, text-generation, arxiv:2312.07533, license:cc-by-nc-4.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlavaLlamaModel
params billions
3
context length
4,096
pipeline tag
text-generation
vram gb
3.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
25,099
stars
0
forks
0

Data indexed from public sources. Updated daily.