Qwen2.5 14B Instruct by Qwen

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  Arxiv:2309.00071   Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 14B Instruct Benchmarks

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)

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 ๐Ÿค—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
Updated2025-02-22
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
Sphinx2.001729 GB
Reasoning 1 1K Demo11629 GB
RQwen V0.121629 GB
Qwen2.5 14B Instruct GPTQ Int8153038616 GB
Qwen2.5 14B Instruct Bnb 4bit7297299 GB
Qwen2.5 14B Instruct AWQ141854110 GB
Qwen2.5 14B Instruct GPTQ Int414905810 GB
Qwen2.5 14B Instruct GGUF11323 GB

Best Alternatives to Qwen2.5 14B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB35169254
Qwen2.5 14B DeepSeek R1 1M986K / 29.7 GB120311
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB2043
Impish QWEN 14B 1M986K / 29.7 GB12711
Calcium Opus 14B Elite 1M986K / 29.7 GB7110
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB561
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB361
Qwen2.5 14B Instruct 1M986K / 29.7 GB3213
...wen2.5 14B Instruct 1M Unalign986K / 29.7 GB3120
Qwen2.5 14B 1M Unalign V2986K / 29.7 GB300
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-14B-Instruct.

Rank the Qwen2.5 14B 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227