🧠
Sat 12l Sm model by Segment Any Text
⭐ 38.4
🧠
Model

Sat 12l Sm

by Segment Any Text segment-any-text/sat-12l-sm
Free2AITools Nexus Index
38.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 65
R: Recency 22
Q: Quality 65
Tech Context
0.28B Params
4.096K Ctx
Vital Performance
417.0K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 38.4 FNI Score
Tiny 0.28B Params
4k Context
Hot 417.0K Downloads
8G GPU ~2GB Est. VRAM
Dense SUBWORDXLMFORTOKENCLASSIFICATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID segment-any-text/sat-12l-sm
License MIT
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{segment_any_text_sat_12l_sm,
  author = {Segment Any Text},
  title = {Sat 12l Sm Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/segment-any-text/sat-12l-sm}},
  note = {Accessed via Free2AITools.}
}
APA Style
Segment Any Text. (2024). Sat 12l Sm [Model]. Free2AITools. https://huggingface.co/segment-any-text/sat-12l-sm

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sat-12l-sm
πŸ€— HF Download
huggingface-cli download segment-any-text/sat-12l-sm
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) 49
Popularity (P) 65
Recency (R) 22
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sat 12l Sm: Authority (A:49), Popularity (P:65), Recency (R:22), 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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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
417.0KDownloads
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--segment-any-text--sat-12l-sm
slug
segment-any-text--sat-12l-sm
source
huggingface
author
Segment Any Text
license
MIT
tags
transformers, onnx, safetensors, xlm-token, token-classification, multilingual, am, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hu, hy, id, ig, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lt, lv, mg, mk, ml, mn, mr, ms, mt, my, ne, nl, no, pa, pl, ps, pt, ro, ru, si, sk, sl, sq, sr, sv, ta, te, tg, th, tr, uk, ur, uz, vi, xh, yi, yo, zh, zu, arxiv:2406.16678, license:mit, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
SubwordXLMForTokenClassification
params billions
0.28
context length
4,096
pipeline tag
token-classification
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
417,014
stars
0
forks
0

Data indexed from public sources. Updated daily.