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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: 0.33941
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SakalFusion 7B Alpha (Sakalti/SakalFusion-7B-Alpha)

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
Updated2025-03-13
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
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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

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