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Qwen2.5 14B by unsloth

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Qwen2.5 14B is an open-source language model by unsloth. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

  Arxiv:2407.10671   Ara   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Deu   Endpoints compatible   Eng   Fra   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Unsloth   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-14B 

Qwen2.5 14B Benchmarks

LLME Score: 0.17091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B (unsloth/Qwen2.5-14B)
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Qwen2.5 14B Parameters and Internals

LLM NameQwen2.5 14B
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-14B 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2025-11-15
Maintainerunsloth
Model Typeqwen2
Model Files  5.0 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   4.7 GB: 6-of-6
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 14B

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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
Etr1o V1.2986K / 29.7 GB60
Impish QWEN 14B 1M986K / 29.7 GB1224
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-14B.

Rank the Qwen2.5 14B 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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