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CodeFuse TestGPT 7B by codefuse-ai

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CodeFuse TestGPT 7B is an open-source language model by codefuse-ai. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, Code Generating, LLM Explorer Score: 0.1.

  Autotrain compatible   Codefuse   Codegen   Codellama   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/codefuse-ai/CodeFuse-TestGPT-7B 

CodeFuse TestGPT 7B Benchmarks

LLME Score: 0.10081
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeFuse TestGPT 7B (codefuse-ai/CodeFuse-TestGPT-7B)
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CodeFuse TestGPT 7B Parameters and Internals

Model Type 
text generation, test case completion
Use Cases 
Areas:
Software Quality
Applications:
Test case generation, Test case assertion completion
Primary Use Cases:
Multi-language test case generation, Test case assertion completion
Additional Notes 
Future plans include extending the model to handle more languages and upgrade model size to 13B and 34B.
Supported Languages 
Java (supported), Python (supported), Javascript (supported)
Input Output 
Input Format:
Python/Java/Javascript code for test case generation and Java code for assertion completion
Accepted Modalities:
text
Output Format:
Textual test cases
LLM NameCodeFuse TestGPT 7B
Repository 🤗https://huggingface.co/codefuse-ai/CodeFuse-TestGPT-7B 
Model Size7b
Required VRAM13.5 GB
Updated2025-11-16
Maintainercodefuse-ai
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.33.2
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<unk>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than codefuse-ai/CodeFuse-TestGPT-7B.

Rank the CodeFuse TestGPT 7B 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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