Marketplace Model: Spanish to English Translation Standard

From Minibase

Spanish to English Translation Standard

This is a compact neural translation model trained to convert Spanish text into fluent and accurate English. It is optimized for efficiency and speed, making it suitable for real-time applications, edge devices, or platforms with limited compute and memory resources. While smaller than large-scale translation models, it achieves high-quality results on everyday language, formal writing, and many domain-specific contexts.

Intended Use
• Customer support systems translating user queries in real time
• Educational tools for language learning
• Media and content platforms translating social posts or articles
• Multilingual chatbots or assistants
• Rapid translation for business documents, research, or cross-cultural communication

Key Features
• Low-latency performance: Small footprint enables fast translation without requiring GPUs.
• General-purpose accuracy: Handles casual, formal, and technical Spanish text with reliable English output.
• Domain flexibility: Performs well across diverse fields including medicine, business, law, culture, and everyday conversation.
• Resource efficiency: Optimized for deployment on mobile, browser, and low-power devices.

Limitations
• May struggle with highly idiomatic or slang-heavy text.
• Complex domain-specific jargon (e.g., advanced legal or scientific terms) may lose nuance.
• Currently only supports Spanish → English (no bidirectional translation).

Ethical Considerations
• Users should be aware that machine translation may introduce inaccuracies that could affect sensitive contexts (e.g., medical or legal use).
• Model outputs should be reviewed before being used in critical decisions.

Basic Information

Base Model:Standard Base
Created by:Michaelminibase
Times imported:1
Released:Oct 6, 2025
Model Size:368 MB
Model Type:Causal Language Model
Format:HIGH

Technical Details

Hidden Size:960
Hidden Layers:32
Attention Heads:15
Vocabulary Size:49,152
Max Context Length:8,192 tokens
Precision:BFloat16 (BF16)
Learning Rate:0.000050
Training Epochs:3
Effective Batch Size:16
Optimizer:AdamW

Training Datasets

NameTypeExamplesSize
Spanish to English TranslationSFT10,0006.7 MB
Spanish to English Translation (part 2)SFT10,0006.3 MB
Spanish to English Translation (part 3)SFT10,0006.3 MB
Spanish to English Translation (part 4)SFT10,0006.1 MB
Spanish to English Translation (part 5)SFT10,0006 MB