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SJT 4B by Sakalti

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  Autotrain compatible Base model:finetune:sakalti/ta... Base model:sakalti/tara-3.8b-v...   Conversational   Dataset:hachiml/hachi-alpaca   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-4B 

SJT 4B Benchmarks

MMLU Pro: 25.35
GPQA: 5.93
MUSR: 19.44
BBH: 28.91
IFEval: 40.77 vs 88 (so35)-53.7%
MATH Lvl 5: 11.56
LLME Score: 0.28236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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SJT 4B Parameters and Internals

LLM NameSJT 4B
Repository 🤗https://huggingface.co/Sakalti/SJT-4B 
Base Model(s)  Sakalti/Tara-3.8B-v1.1   Sakalti/Tara-3.8B-v1.1
Model Size4b
Required VRAM7.6 GB
Updated2025-06-09
MaintainerSakalti
Model Typellama
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length150000
Model Max Length150000
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16
SJT 4B (Sakalti/SJT-4B)

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-4B.

Rank the SJT 4B 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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