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Fusion4 14B Instruct by qingy2024

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:arcee-ai/virtuoso-s...   Base model:qwen/qwen2.5-14b   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/qingy2024/Fusion4-14B-Instruct 

Fusion4 14B Instruct Benchmarks

MMLU Pro: 46.6
GPQA: 10.74
MUSR: 13.97
BBH: 50.7
IFEval: 76.49 vs 88 (so35)-13.1%
MATH Lvl 5: 33.91
LLME Score: 0.37772
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fusion4 14B Instruct (qingy2024/Fusion4-14B-Instruct)

Fusion4 14B Instruct Parameters and Internals

LLM NameFusion4 14B Instruct
Repository 🤗https://huggingface.co/qingy2024/Fusion4-14B-Instruct 
Base Model(s)  Virtuoso Small   Qwen/Qwen2.5-14B   arcee-ai/Virtuoso-Small   Qwen/Qwen2.5-14B
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2024-12-27
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 Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Fusion4-14B-Instruct.

Rank the Fusion4 14B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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