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Qwen2.5 Coder 14B Instruct by Qwen

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Qwen2.5 Coder 14B Instruct is an open-source language model by Qwen. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.37.

  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct 

Qwen2.5 Coder 14B Instruct Benchmarks

MMLU Pro: 32.66
GPQA: 7.27
MUSR: 7.03
BBH: 44.22
IFEval: 69.08 vs 88 (so35)-21.5%
MATH Lvl 5: 32.48
LLME Score: 0.37145
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 14B Instruct (Qwen/Qwen2.5-Coder-14B-Instruct)
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Qwen2.5 Coder 14B Instruct Parameters and Internals

Model Type 
Causal Language Model
Supported Languages 
en (high)
Training Details 
Data Sources:
source code, text-code grounding, synthetic data
Data Volume:
5.5 trillion tokens
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameQwen2.5 Coder 14B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-14B   Qwen/Qwen2.5-Coder-14B
Model Size14b
Required VRAM29.7 GB
Updated2026-04-24
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
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
Generates CodeYes
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 Coder 14B Instruct

Model
Likes
Downloads
VRAM
CogitoZ1412529 GB
Qwen2.5 Coder 14B Instruct AWQ122542010 GB
....5 Coder 14B Instruct Bnb 4bit5121809 GB
...wen2.5 Coder 14B Instruct 4bit774318 GB
UIGEN T1.1 Qwen 14B32113029 GB
...5 Coder 14B Instruct GPTQ Int45184610 GB
UIGEN T1.1 Qwen 14B402229 GB
...5 Coder 14B Instruct GPTQ Int8657616 GB
...er 14B Instruct Abliterated V121329 GB
....5 Coder 14B Instruct F16 GGUF219029 GB

Best Alternatives to Qwen2.5 Coder 14B Instruct

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Context / RAM
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Likes
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB218
Qwen2.5 14B YOYO V4986K / 29.7 GB145
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB291
ZYH LLM Qwen2.5 14B V5986K / 29.7 GB218
Qwen2.5 14B YOYO V5986K / 29.7 GB104
Mergekit Model Stock Ggfjmyf986K / 29.7 GB140
Mergekit Model Stock Injkqri986K / 29.7 GB31
...1 DeepSeekR1 Coder 14B Preview128K / 29.7 GB103
Tessa T1 14B117K / 29.7 GB913
UIGEN T1.5 14B117K / 29.7 GB66

Rank the Qwen2.5 Coder 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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