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Dataset

Colvintern 1b V1

by 5cd Ai 5cd-ai/colvintern-1b-v1
Free2AITools Nexus Index
27.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 14
R: Recency 3
Q: Quality 65
Tech Context
Vital Performance —
Data Integrity 27.1 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID 5cd-ai/colvintern-1b-v1
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_5cd_ai_colvintern_1b_v1,
  author = {5cd Ai},
  title = {Colvintern 1b V1 Dataset},
  year = {2024},
  howpublished = {\url{https://huggingface.co/5CD-AI/ColVintern-1B-v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
5cd Ai. (2024). Colvintern 1b V1 [Dataset]. Free2AITools. https://huggingface.co/5CD-AI/ColVintern-1B-v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 44
Popularity (P) 14
Recency (R) 3
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Colvintern 1b V1: Authority (A:44), Popularity (P:14), Recency (R:3), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
⬇️
Downloads
225

🎯 Task Categories

embedding

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Schema structure is shown in the Field Logic panel when available.

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Schema not yet indexed for this dataset.

Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub
225Downloads
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 Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--5cd-ai--colvintern-1b-v1
slug
5cd-ai--colvintern-1b-v1
source
huggingface
author
5cd Ai
tags
transformers, safetensors, internvl_chat, feature-extraction, colpali, custom_code, vi, en, dataset:vidore/colpali_train_set, dataset:5cd-ai/viet-doc-vqa, dataset:5cd-ai/viet-ocr-vqa, dataset:5cd-ai/viet-doc-vqa-ii, base_model:5cd-ai/vintern-1b-v2, base_model:finetune:5cd-ai/vintern-1b-v2, region:us

βš™οΈ Technical Specs

architecture
ColInternVL2
params billions
0.94
context length
4,096
pipeline tag
feature-extraction

πŸ“Š Engagement & Metrics

downloads
225
stars
0
forks
0

Data indexed from public sources. Updated daily.