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CodeQwen1.5 7B AWQ by Qwen

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  4-bit   Autotrain compatible   Awq   Conversational   En   Endpoints compatible   Pretrained   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

CodeQwen1.5 7B AWQ Benchmarks

HumanEvalA: 40.47
Python Eva: 50.79 vs 92 (so35)-44.8%
Java Eval: 42.15
Javascript: 50.07
CPP Eval: 48.35
PHP Eval: 50.92
Julia Eval: 37.27
D Eval: 16.03
Lua Eval: 46.29
R Eval: 27.95
Racket Eva: 24.89
Rust Eval: 47.56
Swift Eval: 43.33
LLME Score: 0.29055
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 AWQ Parameters and Internals

LLM NameCodeQwen1.5 7B AWQ
Repository 🤗https://huggingface.co/Qwen/CodeQwen1.5-7B-AWQ 
Base Model(s)  Qwen/CodeQwen1.5-7B   Qwen/CodeQwen1.5-7B
Model Size7b
Required VRAM5.3 GB
Updated2024-09-07
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
CodeQwen1.5 7B AWQ (Qwen/CodeQwen1.5-7B-AWQ)

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

Rank the CodeQwen1.5 7B AWQ 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 v2024072803
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