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SJTPass 4 by Sakalti

 »  All LLMs  »  Sakalti  »  SJTPass 4   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:sakalti/sj...   Base model:sakalti/sjt-0.5b   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJTPass-4 

SJTPass 4 Benchmarks

MMLU Pro: 0.92
GPQA: 1.34
MUSR: 6.39
BBH: 2.46
IFEval: 19.13 vs 88 (so35)-78.3%
MATH Lvl 5: 0.23
LLME Score: 0.23913
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJTPass 4 (Sakalti/SJTPass-4)

SJTPass 4 Parameters and Internals

LLM NameSJTPass 4
Repository 🤗https://huggingface.co/Sakalti/SJTPass-4 
Base Model(s)  Sakalti/SJT-0.5B   Sakalti/SJT-0.5B
Merged ModelYes
Model Size0.5b
Required VRAM2.3 GB
Updated2025-05-21
MaintainerSakalti
Model Typeqwen2
Model Files  2.3 GB: 1-of-1
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to SJTPass 4

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Context / RAM
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Reader Lm 0.5B250K / 1 GB133141
Qwen2 0.5B128K / 1 GB95586143
Qwen2 0.5B Stf Imdb128K / 1 GB920
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB80
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB60
ECE PRYMMAL0.5B Youri128K / 1.3 GB01
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJTPass-4.

Rank the SJTPass 4 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 v20241227
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