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NQLSG Qwen2.5 14B MegaFusion V8.7 by Lunzima

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:jpacifico/chocolati... Base model:lunzima/nqlsg-qwen2... Base model:prithivmlmods/equul... Base model:prithivmlmods/messi...   Base model:sakalti/saka-14b Base model:sometimesanotion/la... Base model:sometimesanotion/qw...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7 

NQLSG Qwen2.5 14B MegaFusion V8.7 Benchmarks

MMLU Pro: 47.13
GPQA: 13.53
MUSR: 15.16
BBH: 49.91
IFEval: 78.75 vs 88 (so35)-10.5%
MATH Lvl 5: 54.08
LLME Score: 0.40285
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NQLSG Qwen2.5 14B MegaFusion V8.7 (Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7)

NQLSG Qwen2.5 14B MegaFusion V8.7 Parameters and Internals

LLM NameNQLSG Qwen2.5 14B MegaFusion V8.7
Repository 🤗https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7 
Base Model(s)  sometimesanotion/Lamarck-14B-v0.7-Fusion   Qwenvergence 14B V11   Messier Opus 14B Elite7   jpacifico/Chocolatine-2-14B-Instruct-v2.0b3   Equuleus Opus 14B Exp   Saka 14B   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8   sometimesanotion/Lamarck-14B-v0.7-Fusion   sometimesanotion/Qwenvergence-14B-v11   prithivMLmods/Messier-Opus-14B-Elite7   jpacifico/Chocolatine-2-14B-Instruct-v2.0b3   prithivMLmods/Equuleus-Opus-14B-Exp   Sakalti/Saka-14B   Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-03-21
MaintainerLunzima
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
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 Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7.

Rank the NQLSG Qwen2.5 14B MegaFusion V8.7 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  
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