Genx Synthetic Data Generator by GenX-AI

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Genx Synthetic Data Generator is an open-source language model by GenX-AI. Features: 2b LLM, LLM Explorer Score: 0.28.

  Arxiv:1910.09700 Base model:adapter:google/gemm...   Base model:google/gemma-2-2b   Lora   Peft   Region:us   Safetensors

Genx Synthetic Data Generator Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Genx Synthetic Data Generator (GenX-AI/genx-synthetic-data-generator)
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Genx Synthetic Data Generator Parameters and Internals

LLM NameGenx Synthetic Data Generator
Repository ๐Ÿค—https://huggingface.co/GenX-AI/genx-synthetic-data-generator 
Base Model(s)  Gemma 2 2B   google/gemma-2-2b
Model Size2b
Required VRAM0 GB
Updated2026-04-26
MaintainerGenX-AI
Model Files  0.0 GB
Model ArchitectureAutoModel
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|k_proj|q_proj|down_proj|o_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param4

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Rank the Genx Synthetic Data Generator Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a