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CodeQwen1.5 7B Chat AWQ by Qwen

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

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

CodeQwen1.5 7B Chat AWQ Benchmarks

ARC: 35.49-63.1%
HellaSwag: 54.03-43.3%
MMLU: 39.37-54.5%
TruthfulQA: 44.75-24.2%
WinoGrande: 58.01-33.7%
GSM8K: 27.9-69.7%
HumanEval AVG: 54.950%
Python Eval: 87.230.1%
Java Eval: 61.040%
Javascript Eval: 70.310%
CPP Eval: 67.850%
PHP Eval: 69.220%
Julia Eval: 51.890%
D Eval: 22.710%
Lua Eval: 32.890%
R Eval: 39.860%
Racket Eval: 29.380%
Rust Eval: 67.490%
Swift Eval: 59.590%
nn.n% — How the model compares to the GPT-4.

CodeQwen1.5 7B Chat AWQ Parameters and Internals

LLM NameCodeQwen1.5 7B Chat AWQ
RepositoryOpen on 🤗 
Base Model(s)  Qwen/CodeQwen1.5-7B-Chat   Qwen/CodeQwen1.5-7B-Chat
Model Size7b
Required VRAM5.3 GB
Updated2024-07-26
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 Chat AWQ (Qwen/CodeQwen1.5-7B-Chat-AWQ)

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HF Rank
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Likes
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Tantrum 16bit0.3128K / 15.2 GB800
Qwen2 7B Matter 0.1 Slim A0.2128K / 15.2 GB132
PiSSA Qwen2 7B 4bit R128 5iter0.2128K / 5.9 GB160

Rank the CodeQwen1.5 7B Chat 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 v2024072501
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