Test01012025155054t0.5 Gemma 2 by zelk12

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Test01012025155054t0.5 Gemma 2 is an open-source language model by zelk12. Features: 9b LLM, VRAM: 7.7GB, Context: 8K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Autotrain compatible Base model:finetune:zelk12/mt3... Base model:zelk12/mt3-gen4-gem...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow

Test01012025155054t0.5 Gemma 2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test01012025155054t0.5 Gemma 2 (zelk12/Test01012025155054t0.5_gemma-2)
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Test01012025155054t0.5 Gemma 2 Parameters and Internals

LLM NameTest01012025155054t0.5 Gemma 2
Repository ๐Ÿค—https://huggingface.co/zelk12/Test01012025155054t0.5_gemma-2 
Base Model(s)  MT3 Gen4 Gemma 2 9B   zelk12/MT3-Gen4-gemma-2-9B
Merged ModelYes
Model Size9b
Required VRAM7.7 GB
Updated2025-09-15
Maintainerzelk12
Model Typegemma2
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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...erge 02012025163610 Gemma 2 9B8K / 20.4 GB530
Note: green Score (e.g. "73.2") means that the model is better than zelk12/Test01012025155054t0.5_gemma-2.

Rank the Test01012025155054t0.5 Gemma 2 Capabilities

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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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Release v20260328a