Starcoder2 3B Instruct by TechxGenus

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  Autotrain compatible   Code   Endpoints compatible   Instruct   Region:us   Safetensors   Sharded   Starcoder2   Tensorflow

Starcoder2 3B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starcoder2 3B Instruct (TechxGenus/starcoder2-3b-instruct)

Starcoder2 3B Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
Model operates using the Alpaca instruction format (excluding the system prompt).
Training Details 
Data Volume:
0.7 billion high-quality code-related tokens
Training Time:
3 epochs
Hardware Used:
DeepSpeed ZeRO 3, Flash Attention 2
Safety Evaluation 
Ethical Considerations:
Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.
Input Output 
Input Format:
### Instruction {instruction} ### Response
Accepted Modalities:
text
Output Format:
text
LLM NameStarcoder2 3B Instruct
Repository ๐Ÿค—https://huggingface.co/TechxGenus/starcoder2-3b-instruct 
Model Size3b
Required VRAM6.1 GB
Updated2025-02-05
MaintainerTechxGenus
Model Typestarcoder2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16

Rank the Starcoder2 3B Instruct 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 v20241227