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SJT 3.7B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:finetune:llm-jp/llm... Base model:llm-jp/llm-jp-3-3.7...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-3.7B 

SJT 3.7B Benchmarks

MMLU Pro: 5.61
GPQA: 0.78
MUSR: 4.35
BBH: 7.81
IFEval: 10.78 vs 88 (so35)-87.8%
MATH Lvl 5: 1.21
LLME Score: 0.21496
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 3.7B (Sakalti/SJT-3.7B)
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SJT 3.7B Parameters and Internals

LLM NameSJT 3.7B
Repository 🤗https://huggingface.co/Sakalti/SJT-3.7B 
Base Model(s)  llm-jp/llm-jp-3-3.7b-instruct   llm-jp/llm-jp-3-3.7b-Instruct   llm-jp/llm-jp-3-3.7b-instruct   llm-jp/llm-jp-3-3.7b-Instruct
Merged ModelYes
Model Size3.7b
Required VRAM8.2 GB
Updated2025-09-23
MaintainerSakalti
Model Typellama
Instruction-BasedYes
Model Files  0.6 GB: 1-of-16   0.6 GB: 2-of-16   0.5 GB: 3-of-16   0.5 GB: 4-of-16   0.5 GB: 5-of-16   0.5 GB: 6-of-16   0.5 GB: 7-of-16   0.5 GB: 8-of-16   0.5 GB: 9-of-16   0.5 GB: 10-of-16   0.5 GB: 11-of-16   0.5 GB: 12-of-16   0.5 GB: 13-of-16   0.5 GB: 14-of-16   0.5 GB: 15-of-16   0.5 GB: 16-of-16
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<PAD|LLM-jp>
Vocabulary Size99584
Torch Data Typefloat16

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Rank the SJT 3.7B 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  
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Multi-Language Support and Translation  

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Release v20241124
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