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QwEnlarge 16B Instruct by qingy2024

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QwEnlarge 16B Instruct is an open-source language model by qingy2024. Features: 14b LLM, VRAM: 32GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.29.

  Merged Model   Ara   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/qingy2024/QwEnlarge-16B-Instruct 

QwEnlarge 16B Instruct Benchmarks

MMLU Pro: 38.62
GPQA: 11.07
MUSR: 9.9
BBH: 42.6
IFEval: 78.02 vs 88 (so35)-11.3%
MATH Lvl 5: 46
LLME Score: 0.29235
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwEnlarge 16B Instruct (qingy2024/QwEnlarge-16B-Instruct)
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QwEnlarge 16B Instruct Parameters and Internals

LLM NameQwEnlarge 16B Instruct
Repository 🤗https://huggingface.co/qingy2024/QwEnlarge-16B-Instruct 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Merged ModelYes
Model Size14b
Required VRAM32 GB
Updated2025-11-29
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   2.1 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QwEnlarge 16B Instruct

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Context / RAM
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Qwen2.5 14B Instruct 1M986K / 29.6 GB51877334
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB148
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB1138
Qwen2.5 14B YOYO V4986K / 29.7 GB65
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB324
Impish QWEN 14B 1M986K / 29.7 GB918
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/QwEnlarge-16B-Instruct.

Rank the QwEnlarge 16B 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  
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Multi-Language Support and Translation  

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