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CodeQwen1.5 7B Chat AWQ by Qwen

 »  All LLMs  »  Qwen  »  CodeQwen1.5 7B Chat AWQ   URL Share it on

  83   
  Arxiv:2309.16609   4-bit   Autotrain compatible   Awq   Chat   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-AWQ 

CodeQwen1.5 7B Chat AWQ Benchmarks

ARC: 35.49 vs 96.7 (so35)-63.3%
HellaSwag: 54.03 vs 95.3 (gpt4)-43.3%
MMLU: 39.37 vs 88.3 (so35)-55.4%
TruthfulQA: 44.75 vs 59 (gpt4)-24.2%
WinoGrande: 58.01 vs 87.5 (gpt4)-33.7%
GSM8K: 27.9 vs 96.4 (so35)-71.1%
HumanEvalA: 54.95
Python Eva: 87.2 vs 92 (so35)-5.2%
Java Eval: 61.04
Javascript: 70.31
CPP Eval: 67.85
PHP Eval: 69.22
Julia Eval: 51.89
D Eval: 22.71
Lua Eval: 32.89
R Eval: 39.86
Racket Eva: 29.38
Rust Eval: 67.49
Swift Eval: 59.59
LLME Score: 0.18852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeQwen1.5 7B Chat AWQ (Qwen/CodeQwen1.5-7B-Chat-AWQ)
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CodeQwen1.5 7B Chat AWQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text-to-SQL, bug fix
Primary Use Cases:
long context understanding and generation
Additional Notes 
Supports 92 coding languages.
Supported Languages 
en (advanced proficiency)
Training Details 
Data Sources:
3 trillion tokens of data of codes
Data Volume:
3 trillion tokens
Methodology:
group query attention (GQA) for efficient inference
Context Length:
64000
Model Architecture:
transformer-based decoder-only language model
Input Output 
Input Format:
messages with role and content for chat interactions
Accepted Modalities:
text
Output Format:
textual response
Performance Tips:
Use provided hyper-parameters in 'generation_config.json' for best results
LLM NameCodeQwen1.5 7B Chat AWQ
Repository 🤗https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-AWQ 
Base Model(s)  Qwen/CodeQwen1.5-7B-Chat   Qwen/CodeQwen1.5-7B-Chat
Model Size7b
Required VRAM5.3 GB
Updated2025-09-15
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   1.3 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/CodeQwen1.5-7B-Chat-AWQ.

Rank the CodeQwen1.5 7B Chat 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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