Replit Openorca by matorus

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  Autotrain compatible   Custom code   Dataset:open-orca/openorca   Endpoints compatible   Mpt   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/matorus/replit-openorca 

Replit Openorca Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Replit Openorca Parameters and Internals

Model Type 
code generation
Additional Notes 
This model is a fine-tuned version of the base model 'replit/replit-code-v1-3b' using the Open-Orca/OpenOrca dataset.
Training Details 
Data Sources:
Open-Orca/OpenOrca
LLM NameReplit Openorca
Repository ๐Ÿค—https://huggingface.co/matorus/replit-openorca 
Model Size2.6b
Required VRAM5.2 GB
Updated2025-06-09
Maintainermatorus
Model Typempt
Model Files  5.2 GB
Model ArchitectureMPTForCausalLM
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassReplitLMTokenizer
Padding Token<|pad|>
Vocabulary Size32768
Torch Data Typebfloat16
Replit Openorca (matorus/replit-openorca)

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Note: green Score (e.g. "73.2") means that the model is better than matorus/replit-openorca.

Rank the Replit Openorca 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 v20241124