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SakalFusion 7B Alpha by Sakalti

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  Merged Model   Arxiv:2403.19522   Ar   Autotrain compatible   Base model:qwen/qwen2.5-7b Base model:rombodawg/rombos-ll...   Bn   Ceb   Conversational   Cs   De   En   Endpoints compatible   Es   Fa   Fr   He   Hi   Id   It   Ja   Km   Ko   Lo   Ms   My   Nl   Pl   Pt   Qwen2   Region:us   Ru   Safetensors   Sharded   Tensorflow   Th   Tl   Tr   Ur   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/Sakalti/SakalFusion-7B-Alpha 

SakalFusion 7B Alpha Benchmarks

MMLU Pro: 38.6
GPQA: 10.07
MUSR: 15.87
BBH: 36.78
IFEval: 52.9 vs 88 (so35)-39.9%
MATH Lvl 5: 38.44
LLME Score: 0.31236
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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SakalFusion 7B Alpha Parameters and Internals

LLM NameSakalFusion 7B Alpha
Repository 🤗https://huggingface.co/Sakalti/SakalFusion-7B-Alpha 
Base Model(s)  AIDC-AI/marco-o1   Qwen/Qwen2.5-7B   rombodawg/Rombos-LLM-V2.5-Qwen-7b   AIDC-AI/marco-o1   Qwen/Qwen2.5-7B   rombodawg/Rombos-LLM-V2.5-Qwen-7b
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-06-11
MaintainerSakalti
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Supported Languagesen zh fr es pt de it ru ja ko vi th ar fa he tr cs pl hi bn ur id ms lo my km tl nl
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
SakalFusion 7B Alpha (Sakalti/SakalFusion-7B-Alpha)

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SakalFusion-7B-Alpha.

Rank the SakalFusion 7B Alpha Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Summarization and Feature Extraction  
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Release v20241124
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