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Nxcode CQ 7B Orpo by NTQAI

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  Arxiv:2403.07691   Autotrain compatible   Code   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Nxcode CQ 7B Orpo Benchmarks

MMLU Pro: 6.79
GPQA: 0.56
MUSR: 7.05
BBH: 17.58
IFEval: 40.07 vs 88 (so35)-54.5%
ARC: 35.49 vs 96.7 (so35)-63.3%
HellaSwag: 53.86 vs 95.3 (gpt4)-43.5%
MMLU: 39.24 vs 88.3 (so35)-55.6%
TruthfulQA: 45.01 vs 59 (gpt4)-23.7%
WinoGrande: 57.22 vs 87.5 (gpt4)-34.6%
GSM8K: 27.07 vs 96.4 (so35)-71.9%
HumanEvalA: 55.24
Python Eva: 87.23 vs 92 (so35)-5.2%
Java Eval: 60.91
Javascript: 71.69
CPP Eval: 68.04
PHP Eval: 67.98
Julia Eval: 50.54
D Eval: 23.22
Lua Eval: 37.24
R Eval: 39.73
Racket Eva: 32.26
Rust Eval: 65.53
Swift Eval: 58.51
MATH Lvl 5: 1.74
LLME Score: 0.34151
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nxcode CQ 7B Orpo Parameters and Internals

LLM NameNxcode CQ 7B Orpo
Repository 🤗https://huggingface.co/NTQAI/Nxcode-CQ-7B-orpo 
Model Size7b
Required VRAM14.5 GB
Updated2024-10-08
MaintainerNTQAI
Model Typeqwen2
Model Files  8.0 GB: 1-of-2   6.5 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typebfloat16
Nxcode CQ 7B Orpo (NTQAI/Nxcode-CQ-7B-orpo)

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Note: green Score (e.g. "73.2") means that the model is better than NTQAI/Nxcode-CQ-7B-orpo.

Rank the Nxcode CQ 7B Orpo 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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