🧠
Mt5 Small Si Spelling Correction Dataset Synthetic 100k model by Speak Pp
⭐ 39.4
🧠
Model

Mt5 Small Si Spelling Correction Dataset Synthetic 100k

by Speak Pp speak-pp/mt5-small-si-spelling-correction-dataset-synthetic-100k
Free2AITools Nexus Index
39.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 19
R: Recency 76
Q: Quality 45
Tech Context
0.3B Params
102.4K Ctx
Vital Performance
438 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.4 FNI Score
Tiny 0.3B Params
100k Context
438 Downloads
8G GPU ~5GB Est. VRAM
Dense MT5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID speak-pp/mt5-small-si-spelling-correction-dataset-synthetic-100k
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{speak_pp_mt5_small_si_spelling_correction_dataset_synthetic_100k,
  author = {Speak Pp},
  title = {Mt5 Small Si Spelling Correction Dataset Synthetic 100k Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/SPEAK-PP/mt5-small-si-spelling-correction-dataset-synthetic-100k}},
  note = {Accessed via Free2AITools.}
}
APA Style
Speak Pp. (2026). Mt5 Small Si Spelling Correction Dataset Synthetic 100k [Model]. Free2AITools. https://huggingface.co/SPEAK-PP/mt5-small-si-spelling-correction-dataset-synthetic-100k

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mt5-small-si-spelling-correction-dataset-synthetic-100k
πŸ€— HF Download
huggingface-cli download speak-pp/mt5-small-si-spelling-correction-dataset-synthetic-100k
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) 19
Recency (R) 76
Quality (Q) 45

πŸ’¬ Index Insight

FNI V2.0 for Mt5 Small Si Spelling Correction Dataset Synthetic 100k: Authority (A:0), Popularity (P:19), Recency (R:76), Quality (Q:45). 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
438Downloads
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--speak-pp--mt5-small-si-spelling-correction-dataset-synthetic-100k
slug
speak-pp--mt5-small-si-spelling-correction-dataset-synthetic-100k
source
huggingface
author
Speak Pp
license
Apache-2.0
tags
transformers, safetensors, mt5, text2text-generation, generated_from_trainer, base_model:google/mt5-small, base_model:finetune:google/mt5-small, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
MT5ForConditionalGeneration
params billions
0.3
context length
102,400
vram gb
4.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 4GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
438
stars
0
forks
0

Data indexed from public sources. Updated daily.