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RLM Hinglish Translator by rudrashah

By rudrashah · 71 downloads
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RLM Hinglish Translator is an open-source language model by rudrashah. Features: 2.5b LLM, VRAM: 10GB, Context: 8K, License: mit, LLM Explorer Score: 0.13.

  Dataset:cmu hinglish dog   En   Endpoints compatible   Gemma   Gemma2b   Hinglish   Hinglish to english   Keras   Keras nlp   Language translation   Region:us   Safetensors   Sharded   Tensorflow   Translation
Model Card on HF 🤗: https://huggingface.co/rudrashah/RLM-hinglish-translator 

RLM Hinglish Translator Parameters and Internals

Model Type 
language translation
Use Cases 
Areas:
translation, informal communication
Applications:
Hinglish to English translation
Primary Use Cases:
translating Hinglish to English
Additional Notes 
The model effectively handles unique syntactical and lexical characteristics of Hinglish through PEFT with LoRA.
Supported Languages 
en (standard English), hi_en (Hinglish)
Training Details 
Data Sources:
cmu_hinglish_dog, personal daily life chats, Uber messages
Methodology:
PEFT (LoRA)
Input Output 
Input Format:
Hinglish sentence in the format: Hinglish:\n{hi_en}\n\nEnglish:\n{en}
Accepted Modalities:
text
Output Format:
Translated English sentence
Performance Tips:
Proper input format is crucial for accurate output.
LLM NameRLM Hinglish Translator
Repository 🤗https://huggingface.co/rudrashah/RLM-hinglish-translator 
Model Size2.5b
Required VRAM10 GB
Updated2026-08-03
Maintainerrudrashah
Model Typegemma
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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