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SJT 7B V1.1 by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:bunnycore/qwen2.5-7... Base model:suayptalha/homercre...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-7B-V1.1 

SJT 7B V1.1 Benchmarks

MMLU Pro: 37.91
GPQA: 11.19
MUSR: 13.63
BBH: 35.1
IFEval: 47.03 vs 88 (so35)-46.6%
MATH Lvl 5: 24.32
LLME Score: 0.34599
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 7B V1.1 (Sakalti/SJT-7B-V1.1)

SJT 7B V1.1 Parameters and Internals

LLM NameSJT 7B V1.1
Repository 🤗https://huggingface.co/Sakalti/SJT-7B-V1.1 
Base Model(s)  HomerCreativeAnvita Mix Qw7B   bunnycore/Qwen2.5-7B-RRP-1M   suayptalha/HomerCreativeAnvita-Mix-Qw7B   bunnycore/Qwen2.5-7B-RRP-1M
Merged ModelYes
Model Size7b
Required VRAM14.8 GB
Updated2025-03-11
MaintainerSakalti
Model Typeqwen2
Model Files  1.1 GB: 1-of-16   1.1 GB: 2-of-16   0.9 GB: 3-of-16   0.9 GB: 4-of-16   0.9 GB: 5-of-16   0.9 GB: 6-of-16   0.9 GB: 7-of-16   0.9 GB: 8-of-16   0.9 GB: 9-of-16   0.9 GB: 10-of-16   0.9 GB: 11-of-16   0.9 GB: 12-of-16   0.9 GB: 13-of-16   0.9 GB: 14-of-16   0.9 GB: 15-of-16   0.9 GB: 16-of-16
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

Best Alternatives to SJT 7B V1.1

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Hush Qwen2.5 7B V1.2986K / 15.2 GB211
Hush Qwen2.5 7B Preview986K / 15.2 GB840
Qwen2.5 7B Preview986K / 15.2 GB130
Qwen2.5 7B RRP 1M986K / 15.2 GB2086
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-7B-V1.1.

Rank the SJT 7B V1.1 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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