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SJT 24B Alpha by Sakalti

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  Merged Model   Autotrain compatible Base model:finetune:sakalti/ul... Base model:sakalti/ultiima-14b...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-24B-Alpha 

SJT 24B Alpha Benchmarks

MMLU Pro: 42.86
GPQA: 17.45
MUSR: 16
BBH: 44.45
IFEval: 32.06 vs 88 (so35)-63.6%
MATH Lvl 5: 25.3
LLME Score: 0.30929
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 24B Alpha Parameters and Internals

LLM NameSJT 24B Alpha
Repository 🤗https://huggingface.co/Sakalti/SJT-24B-Alpha 
Base Model(s)  Sakalti/ultiima-14B-v0.4   Sakalti/ultiima-14B-v0.4
Merged ModelYes
Model Size14b
Required VRAM48.3 GB
Updated2025-06-10
MaintainerSakalti
Model Typeqwen2
Model Files  4.9 GB: 1-of-10   4.9 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   4.9 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   4.9 GB: 8-of-10   5.0 GB: 9-of-10   3.7 GB: 10-of-10
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace
SJT 24B Alpha (Sakalti/SJT-24B-Alpha)

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-24B-Alpha.

Rank the SJT 24B Alpha 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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