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Opus Mt Es En Gec Spanish Synthetic Dslarge model by Ro551
⭐ 37
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Model

Opus Mt Es En Gec Spanish Synthetic Dslarge

by Ro551 ro551/opus-mt-es-en-gec-spanish-synthetic_dslarge
Free2AITools Nexus Index
37.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 74
Q: Quality 45
Tech Context
0.14B Params
4.096K Ctx
Vital Performance
24 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37 FNI Score
Tiny 0.14B Params
4k Context
24 Downloads
8G GPU ~2GB Est. VRAM
Dense MARIANMTMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ro551/opus-mt-es-en-gec-spanish-synthetic_dslarge
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{ro551_opus_mt_es_en_gec_spanish_synthetic_dslarge,
  author = {Ro551},
  title = {Opus Mt Es En Gec Spanish Synthetic Dslarge Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Ro551/opus-mt-es-en-GEC-spanish-synthetic_dsLarge}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ro551. (2026). Opus Mt Es En Gec Spanish Synthetic Dslarge [Model]. Free2AITools. https://huggingface.co/Ro551/opus-mt-es-en-GEC-spanish-synthetic_dsLarge

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run opus-mt-es-en-gec-spanish-synthetic_dslarge
πŸ€— HF Download
huggingface-cli download ro551/opus-mt-es-en-gec-spanish-synthetic_dslarge
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) 74
Quality (Q) 45

πŸ’¬ Index Insight

FNI V2.0 for Opus Mt Es En Gec Spanish Synthetic Dslarge: Authority (A:0), Popularity (P:3), Recency (R:74), 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
24Downloads
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--ro551--opus-mt-es-en-gec-spanish-synthetic_dslarge
slug
ro551--opus-mt-es-en-gec-spanish-synthetic_dslarge
source
huggingface
author
Ro551
license
Apache-2.0
tags
transformers, safetensors, marian, text2text-generation, generated_from_trainer, base_model:helsinki-nlp/opus-mt-es-en, base_model:finetune:helsinki-nlp/opus-mt-es-en, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
MarianMTModel
params billions
0.14
context length
4,096
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
24

Data indexed from public sources. Updated daily.