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SteloCoder by jlpan

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SteloCoder is an open-source language model by jlpan. Features: LLM, VRAM: 31.2GB, License: bigcode-openrail-m, Code Generating, LLM Explorer Score: 0.09.

  Base model:bigcode/starcoder Base model:finetune:bigcode/st...   Codegen   Endpoints compatible   Generated from trainer   Gpt bigcode   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/jlpan/SteloCoder 

SteloCoder Benchmarks

LLME Score: 0.08953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SteloCoder (jlpan/SteloCoder)
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SteloCoder Parameters and Internals

Model Type 
code machine translation
Use Cases 
Primary Use Cases:
code machine translation from C++, C#, Java, JavaScript, PHP to Python
Considerations:
More information needed
Training Details 
Data Sources:
XLCoST
Methodology:
LoRA and MoE methods with code translation samples in five programming languages to Python
LLM NameSteloCoder
Repository 🤗https://huggingface.co/jlpan/SteloCoder 
Base Model(s)  bigcode/starcoder   bigcode/starcoder
Required VRAM31.2 GB
Updated2026-05-18
Maintainerjlpan
Model Typegpt_bigcode
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   1.4 GB: 4-of-4   0.0 GB
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.32.1
Vocabulary Size49152
Torch Data Typefloat16
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than jlpan/SteloCoder.

Rank the SteloCoder 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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