Mojo Starcoder2 by ncoop57

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Mojo Starcoder2 is an open-source language model by ncoop57. Features: 3b LLM, VRAM: 6.4GB, Context: 16K, License: bigcode-openrail-m, LLM Explorer Score: 0.14.

  Autotrain compatible   Endpoints compatible   Pytorch   Region:us   Sharded   Starcoder2

Mojo Starcoder2 Benchmarks

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

Mojo Starcoder2 Parameters and Internals

LLM NameMojo Starcoder2
Repository 🤗https://huggingface.co/ncoop57/mojo_starcoder2 
Model Size3b
Required VRAM6.4 GB
Updated2024-08-13
Maintainerncoop57
Model Typestarcoder2
Model Files  5.0 GB: 1-of-2   1.4 GB: 2-of-2
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.40.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16

Best Alternatives to Mojo Starcoder2

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Context / RAM
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Starcoder2 3B16K / 12.1 GB109597220
Starcoder2 3b AutoRedteam16K / 12.7 GB50
Starcoder Proto Code16K / 6.1 GB50
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 ncoop57/mojo_starcoder2.

Rank the Mojo Starcoder2 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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Release v20260328a