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Fusion 14B Instruct by qingy2024

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:arcee-ai/virtuoso-s... Base model:qingy2024/qwen2.5-m...   Base model:qwen/qwen2.5-14b   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/qingy2024/Fusion-14B-Instruct 

Fusion 14B Instruct Benchmarks

MMLU Pro: 44.93
GPQA: 13.98
MUSR: 14.81
BBH: 48.58
IFEval: 72.6 vs 88 (so35)-17.5%
MATH Lvl 5: 30.97
LLME Score: 0.37853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fusion 14B Instruct (qingy2024/Fusion-14B-Instruct)

Fusion 14B Instruct Parameters and Internals

LLM NameFusion 14B Instruct
Repository 🤗https://huggingface.co/qingy2024/Fusion-14B-Instruct 
Base Model(s)  Qwen/Qwen2.5-14B   Virtuoso Small   qingy2024/Qwen2.5-Math-14B-Instruct-Preview   Qwen/Qwen2.5-14B   arcee-ai/Virtuoso-Small   qingy2024/Qwen2.5-Math-14B-Instruct-Preview
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2024-12-21
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Fusion-14B-Instruct.

Rank the Fusion 14B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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