🧠
Sutd Bge Large Ft67 model by henreads
⭐ 39.4
🧠
Model

Sutd Bge Large Ft67

by henreads henreads/sutd-bge-large-ft67
Free2AITools Nexus Index
39.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 90
Q: Quality 65
Tech Context
0.34B Params
512 Ctx
Vital Performance
32 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.4 FNI Score
Tiny 0.34B Params
1k Context
32 Downloads
8G GPU ~2GB Est. VRAM
Dense BERTMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID henreads/sutd-bge-large-ft67
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{henreads_sutd_bge_large_ft67,
  author = {henreads},
  title = {Sutd Bge Large Ft67 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/henreads/sutd-bge-large-ft67}},
  note = {Accessed via Free2AITools.}
}
APA Style
henreads. (2026). Sutd Bge Large Ft67 [Model]. Free2AITools. https://huggingface.co/henreads/sutd-bge-large-ft67

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sutd-bge-large-ft67
πŸ€— HF Download
huggingface-cli download henreads/sutd-bge-large-ft67
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) 3
Recency (R) 90
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sutd Bge Large Ft67: Authority (A:0), Popularity (P:3), Recency (R:90), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
32Downloads
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--henreads--sutd-bge-large-ft67
slug
henreads--sutd-bge-large-ft67
source
huggingface
author
henreads
license
Apache-2.0
tags
sentence-transformers, safetensors, bert, feature-extraction, sentence-similarity, information-retrieval, sutd, en, base_model:baai/bge-large-en-v1.5, base_model:finetune:baai/bge-large-en-v1.5, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
BertModel
params billions
0.34
context length
512
pipeline tag
sentence-similarity
vram gb
1.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
32
stars
null
forks
null

Data indexed from public sources. Updated daily.