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
Updated2025-02-09
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
Sphinx2.001629 GB
Reasoning 1 1K Demo11329 GB
RQwen V0.12629 GB
Qwen2.5 14B Instruct GPTQ Int8144986616 GB
Qwen2.5 14B Instruct Bnb 4bit7295589 GB
Qwen2.5 14B Instruct AWQ131887210 GB
Qwen2.5 14B Instruct GPTQ Int4141453510 GB
Qwen2.5 14B Instruct GGUF1723 GB

Best Alternatives to Qwen2.5 14B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB15391229
Qwen2.5 14B DeepSeek R1 1M986K / 29.7 GB9018
Impish QWEN 14B 1M986K / 29.7 GB11210
Calcium Opus 14B Elite 1M986K / 29.7 GB5010
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB231
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB532
...wen2.5 14B Instruct 1M Unalign986K / 29.7 GB2900
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB91
Qwen2.5 14B Instruct 1M986K / 29.7 GB592
Mergekit Model Stock Injkqri986K / 29.7 GB231
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