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Replit Code V1.5 3B by replit

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Model Card on HF 🤗: https://huggingface.co/replit/replit-code-v1_5-3b 

Replit Code V1.5 3B Benchmarks

LLME Score: 0.22477
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Replit Code V1.5 3B (replit/replit-code-v1_5-3b)

Replit Code V1.5 3B Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Primary Use Cases:
Code completion
Limitations:
Pre-training dataset may have contained offensive or inappropriate content
Training Details 
Data Sources:
Bigcode's Stack Dedup dataset, RedPajama's StackExchange dataset
Data Volume:
1T tokens of code
Context Length:
4096
Hardware Used:
128 H100-80GB GPUs
Input Output 
Performance Tips:
Experiment with temperature and repetition_penalty for optimal performance
LLM NameReplit Code V1.5 3B
Repository 🤗https://huggingface.co/replit/replit-code-v1_5-3b 
Model Size3b
Required VRAM6.6 GB
Updated2025-02-22
Maintainerreplit
Model Typempt
Model Files  6.6 GB
Supported Languagescode
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length4096
Transformers Version4.33.3
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Rank the Replit Code V1.5 3B 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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