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SJT 2B by Sakalti

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-2b-j...   Conversational   En   Endpoints compatible   Gemma   Gemma2   Ja   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-2B 

SJT 2B Benchmarks

MMLU Pro: 2.08
MUSR: 3.39
BBH: 1.89
IFEval: 21.51 vs 88 (so35)-75.6%
MATH Lvl 5: 0.08
LLME Score: 0.25232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 2B (Sakalti/SJT-2B)

SJT 2B Parameters and Internals

LLM NameSJT 2B
Repository 🤗https://huggingface.co/Sakalti/SJT-2B 
Base Model(s)  Gemma 2 2B Jpn It   google/gemma-2-2b-jpn-it
Model Size2b
Required VRAM5.2 GB
Updated2025-03-12
MaintainerSakalti
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesen ja
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-2B.

Rank the SJT 2B 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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