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Qwentessential 14B V1 by sometimesanotion

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:arcee-ai/virtuoso-s... Base model:jpacifico/chocolati... 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/sometimesanotion/Qwentessential-14B-v1 

Qwentessential 14B V1 Benchmarks

MMLU Pro: 48.68
GPQA: 18.34
MUSR: 20.78
BBH: 50.37
IFEval: 62.79 vs 88 (so35)-28.6%
MATH Lvl 5: 40.71
LLME Score: 0.34663
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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Qwentessential 14B V1 Parameters and Internals

LLM NameQwentessential 14B V1
Repository 🤗https://huggingface.co/sometimesanotion/Qwentessential-14B-v1 
Base Model(s)  jpacifico/Chocolatine-2-14B-Instruct-v2.0.3   jpacifico/Chocolatine-2-14B-Instruct-v2.0b3   sometimesanotion/Lamarck-14B-v0.6   Virtuoso Small V2   Qwenvergence 14B V12 Prose DS   jpacifico/Chocolatine-2-14B-Instruct-v2.0.3   jpacifico/Chocolatine-2-14B-Instruct-v2.0b3   sometimesanotion/Lamarck-14B-v0.6   arcee-ai/Virtuoso-Small-v2   sometimesanotion/Qwenvergence-14B-v12-Prose-DS
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-02-21
Maintainersometimesanotion
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 Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace
Qwentessential 14B V1 (sometimesanotion/Qwentessential-14B-v1)

Best Alternatives to Qwentessential 14B V1

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Qwen2.5 14B Instruct 1M986K / 29.6 GB134051308
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ZYH LLM Qwen2.5 14B V4986K / 29.7 GB4626
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB478
Qwen2.5 14B YOYO V4986K / 29.7 GB194
Impish QWEN 14B 1M986K / 29.7 GB5017
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB254
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB141
Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Qwentessential-14B-v1.

Rank the Qwentessential 14B V1 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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