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Qwen2.5 Coder 7B Instruct AWQ by Qwen

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Qwen2.5 Coder 7B Instruct AWQ is an open-source language model by Qwen. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.25.

  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186   4-bit   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Quantized   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-AWQ 

Qwen2.5 Coder 7B Instruct AWQ Benchmarks

LLME Score: 0.24766
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 7B Instruct AWQ (Qwen/Qwen2.5-Coder-7B-Instruct-AWQ)
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Qwen2.5 Coder 7B Instruct AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
code generation
Applications:
Code reasoning, code fixing, real-world applications like Code Agents
Primary Use Cases:
Coding enhancements, mathematics and general competencies
Limitations:
Performance impact on shorter texts with static YaRN configuration
Considerations:
Advised `rope_scaling` configuration only for long context processing
Supported Languages 
en (English)
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Performance Tips:
To enable YaRN, add specific configurations to `config.json`
LLM NameQwen2.5 Coder 7B Instruct AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-AWQ 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM5.6 GB
Updated2026-04-11
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-7B-Instruct-AWQ.

Rank the Qwen2.5 Coder 7B Instruct AWQ 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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