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Qwen2.5 14B Instruct by Qwen

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Qwen2.5 14B Instruct is an open-source language model by Qwen. Features: 14b LLM, VRAM: 29.6GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.41.

  Arxiv:2309.00071   Arxiv:2407.10671 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct 

Qwen2.5 14B Instruct Benchmarks

LLME Score: 0.41416
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 Instruct (Qwen/Qwen2.5-14B-Instruct)
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Qwen2.5 14B Instruct Parameters and Internals

Model Type 
Causal Language Models
Supported Languages 
languages_supported (/- en ), proficiency (/multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
LLM NameQwen2.5 14B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-14B-Instruct 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.6 GB
Updated2026-05-19
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-8   4.0 GB: 2-of-8   4.0 GB: 3-of-8   4.0 GB: 4-of-8   4.0 GB: 5-of-8   4.0 GB: 6-of-8   4.0 GB: 7-of-8   1.7 GB: 8-of-8
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 14B Instruct

Model
Likes
Downloads
VRAM
RQwen V0.1238429 GB
Reasoning 1 1K Demo12329 GB
Sphinx2.01029 GB
Qwen2.5 14B Instruct AWQ35191775810 GB
Qwen2.5 14B Instruct GPTQ Int42613841410 GB
... 14B Instruct Unsloth Bnb 4bit21787611 GB
Qwen2.5 14B Instruct GPTQ Int8253195616 GB
Qwen2.5 14B Instruct Bnb 4bit9260229 GB
Kyro N1 14B4829 GB
Qwen2.5 14B Instruct GGUF16483 GB

Best Alternatives to Qwen2.5 14B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB18001337
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB368
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB135
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB168
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB644
Impish QWEN 14B 1M986K / 29.7 GB1524
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31

Rank the Qwen2.5 14B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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