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SJT 8B V1.1 by Sakalti

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  Merged Model   Autotrain compatible Base model:finetune:sakalti/sj...   Base model:sakalti/sjt-7b-v1.1   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-8B-V1.1 

SJT 8B V1.1 Benchmarks

MMLU Pro: 35.9
GPQA: 11.52
MUSR: 11.56
BBH: 31.32
IFEval: 46.21 vs 88 (so35)-47.5%
MATH Lvl 5: 20.69
LLME Score: 0.27593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 8B V1.1 (Sakalti/SJT-8B-V1.1)
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SJT 8B V1.1 Parameters and Internals

LLM NameSJT 8B V1.1
Repository 🤗https://huggingface.co/Sakalti/SJT-8B-V1.1 
Base Model(s)  Sakalti/SJT-7B-V1.1   Sakalti/SJT-7B-V1.1
Merged ModelYes
Model Size7b
Required VRAM17.8 GB
Updated2025-09-17
MaintainerSakalti
Model Typeqwen2
Model Files  1.1 GB: 1-of-34   1.1 GB: 2-of-34   0.5 GB: 3-of-34   0.5 GB: 4-of-34   0.4 GB: 5-of-34   0.5 GB: 6-of-34   0.4 GB: 7-of-34   0.5 GB: 8-of-34   0.4 GB: 9-of-34   0.5 GB: 10-of-34   0.4 GB: 11-of-34   0.5 GB: 12-of-34   0.5 GB: 13-of-34   0.5 GB: 14-of-34   0.5 GB: 15-of-34   0.5 GB: 16-of-34   0.5 GB: 17-of-34   0.5 GB: 18-of-34   0.5 GB: 19-of-34   0.5 GB: 20-of-34   0.5 GB: 21-of-34   0.5 GB: 22-of-34   0.5 GB: 23-of-34   0.5 GB: 24-of-34   0.5 GB: 25-of-34   0.5 GB: 26-of-34   0.5 GB: 27-of-34   0.5 GB: 28-of-34   0.5 GB: 29-of-34   0.5 GB: 30-of-34   0.5 GB: 31-of-34   0.5 GB: 32-of-34   0.5 GB: 33-of-34   0.5 GB: 34-of-34
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-8B-V1.1.

Rank the SJT 8B 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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