LLM EXPLORER 58,873 MODELS INDEXED

QwEnlarge 16B Instruct by qingy2024

By qingy2024 · 6 downloads

QwEnlarge 16B Instruct is an open-source language model by qingy2024. Features: 14b LLM, VRAM: 32GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.28.

  Merged Model   Ara 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

QwEnlarge 16B Instruct Parameters and Internals

LLM NameQwEnlarge 16B Instruct
Repository πŸ€—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
Updated2026-08-01
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

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T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB278
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB205
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB238
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB114
Impish QWEN 14B 1M986K / 29.7 GB5626
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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/QwEnlarge-16B-Instruct.