🧠
Model

Colbert Zero Supervised

by lightonai lightonai/colbert-zero-supervised
Free2AITools Nexus Index
40.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 21
R: Recency 69
Q: Quality 65
Tech Context
0.15B Params
4.096K Ctx
Vital Performance
557 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 40.5 FNI Score
Tiny 0.15B Params
4k Context
557 Downloads
8G GPU ~2GB Est. VRAM
Dense MODERNBERTMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID lightonai/colbert-zero-supervised
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{lightonai_colbert_zero_supervised,
  author = {lightonai},
  title = {Colbert Zero Supervised Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/lightonai/ColBERT-Zero-supervised}},
  note = {Accessed via Free2AITools.}
}
APA Style
lightonai. (2026). Colbert Zero Supervised [Model]. Free2AITools. https://huggingface.co/lightonai/ColBERT-Zero-supervised

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run colbert-zero-supervised
πŸ€— HF Download
huggingface-cli download lightonai/colbert-zero-supervised
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 21
Recency (R) 69
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Colbert Zero Supervised: Authority (A:39), Popularity (P:21), Recency (R:69), 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
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πŸš€ What's Next?

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
557Downloads
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--lightonai--colbert-zero-supervised
slug
lightonai--colbert-zero-supervised
source
huggingface
author
lightonai
license
Apache-2.0
tags
pylate, safetensors, modernbert, colbert, sentence-transformers, sentence-similarity, embeddings, retrieval, feature-extraction, generated_from_trainer, dataset_size:1695819, loss:contrastive, en, arxiv:2602.16609, arxiv:2402.01613, arxiv:1908.10084, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:eu

βš™οΈ Technical Specs

architecture
ModernBertModel
params billions
0.15
context length
4,096
pipeline tag
sentence-similarity
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
557
stars
0
forks
0

Data indexed from public sources. Updated daily.