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Gemma 7B English To Hinglish by Hinglish-Project

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Gemma 7B English To Hinglish is an open-source language model by Hinglish-Project. Features: 7b LLM, VRAM: 17.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-7b-bn...   En   Endpoints compatible   Gemma   Gguf   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Hinglish-Project/gemma-7b-English-to-Hinglish 

Gemma 7B English To Hinglish Benchmarks

LLME Score: 0.12766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B English To Hinglish (Hinglish-Project/gemma-7b-English-to-Hinglish)
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Gemma 7B English To Hinglish Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameGemma 7B English To Hinglish
Repository 🤗https://huggingface.co/Hinglish-Project/gemma-7b-English-to-Hinglish 
Base Model(s)  Gemma 7B Bnb 4bit   unsloth/gemma-7b-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2026-05-23
MaintainerHinglish-Project
Model Files  0.8 GB   17.1 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|gate_proj|down_proj|v_proj|o_proj|k_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than Hinglish-Project/gemma-7b-English-to-Hinglish.

Rank the Gemma 7B English To Hinglish Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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