Test by 999G

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/999G/test 

Test Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test (999G/test)
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Test Parameters and Internals

LLM NameTest
Repository ๐Ÿค—https://huggingface.co/999G/test 
Model Size2.6b
Required VRAM5.2 GB
Updated2025-08-17
Maintainer999G
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.51.3
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Test

Best Alternatives
Context / RAM
Downloads
Likes
SFT Peft8K / 5.2 GB110
SFT Fft8K / 5.2 GB50
Gemma 2 Full Dare Peft8K / 10.5 GB70
FFT Model Gemma8K / 5.2 GB50
Vera V1.1 Instruct8K / 5.2 GB50
SAFETY PEFT VECTOR8K / 10.5 GB60
SAFETY FULL FT VECTOR8K / 10.5 GB60
RESTA Sft Dare Full Ft8K / 10.5 GB50
Base Tilde Sft Peft Gemma28K / 5.2 GB60
Gemma2 Sft Peft8K / 5.2 GB70

Rank the Test 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.
Release v20241124