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SJT 1.5B Alpha by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible   Base model:qwen/qwen2.5-1.5b Base model:qwen/qwen2.5-1.5b-i...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-1.5B-Alpha 

SJT 1.5B Alpha Benchmarks

MMLU Pro: 21.79
GPQA: 5.59
MUSR: 11.09
BBH: 18.54
IFEval: 34.49 vs 88 (so35)-60.8%
MATH Lvl 5: 9.97
LLME Score: 0.27406
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 1.5B Alpha (Sakalti/SJT-1.5B-Alpha)

SJT 1.5B Alpha Parameters and Internals

LLM NameSJT 1.5B Alpha
Repository 🤗https://huggingface.co/Sakalti/SJT-1.5B-Alpha 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B
Merged ModelYes
Model Size1.5b
Required VRAM3.6 GB
Updated2025-05-15
MaintainerSakalti
Model Typeqwen2
Model Files  3.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-1.5B-Alpha.

Rank the SJT 1.5B Alpha Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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