Starcoder Proto Code by mjalg

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Starcoder Proto Code is an open-source language model by mjalg. Features: 3b LLM, VRAM: 6.1GB, Context: 16K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama-factory   Region:us   Safetensors   Sharded   Starcoder2   Tensorflow

Starcoder Proto Code Benchmarks

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

Starcoder Proto Code Parameters and Internals

LLM NameStarcoder Proto Code
Repository 🤗https://huggingface.co/mjalg/starcoder-proto-code 
Model Size3b
Required VRAM6.1 GB
Updated2025-09-23
Maintainermjalg
Model Typestarcoder2
Model Files  1.9 GB: 1-of-4   2.0 GB: 2-of-4   2.0 GB: 3-of-4   0.2 GB: 4-of-4
Model ArchitectureStarcoder2ForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.41.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typefloat16

Best Alternatives to Starcoder Proto Code

Best Alternatives
Context / RAM
Downloads
Likes
Starcoder2 3B16K / 12.1 GB109597220
Starcoder2 3b AutoRedteam16K / 12.7 GB50
Mojo Starcoder216K / 6.4 GB110
Starcoder2 3B Instruct16K / 6.1 GB17645
NEARCoder 3B16K / 6.1 GB50
NEAR StructTunedStarcoder216K / 6.1 GB80
NEAR PreTrainedStarCoder216K / 6.1 GB50
Bigcode Starcoder2 3B 8bits16K / 3.2 GB50
OpenCodeInterpreter SC2 3B16K / 6.4 GB227
Opencsg Starcoder2 3B V0.116K / 6.4 GB61
Note: green Score (e.g. "73.2") means that the model is better than mjalg/starcoder-proto-code.

Rank the Starcoder Proto Code 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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Release v20260328a