Omega Coder Phi 3 Mini 1K by samuelswandi

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  Autotrain compatible   Codegen   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Omega Coder Phi 3 Mini 1K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Omega Coder Phi 3 Mini 1K (samuelswandi/omega-coder-phi-3-mini-1K)

Omega Coder Phi 3 Mini 1K Parameters and Internals

Additional Notes 
Custom training dataset used for fine-tuning.
Training Details 
Data Sources:
deepmind/code_contests
Methodology:
SFT fine-tuned
Context Length:
2048
LLM NameOmega Coder Phi 3 Mini 1K
Repository ๐Ÿค—https://huggingface.co/samuelswandi/omega-coder-phi-3-mini-1K 
Model Size3.8b
Required VRAM15.4 GB
Updated2025-02-22
Maintainersamuelswandi
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Generates CodeYes
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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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