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Starcoderbase Triviaqa by vwxyzjn

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Model Card on HF 🤗: https://huggingface.co/vwxyzjn/starcoderbase-triviaqa 

Starcoderbase Triviaqa Benchmarks

LLME Score: 0.10514
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starcoderbase Triviaqa (vwxyzjn/starcoderbase-triviaqa)
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Starcoderbase Triviaqa Parameters and Internals

Model Type 
transformers, reinforcement learning
Use Cases 
Areas:
Research, Commercial Applications
Limitations:
May generate incorrect or misleading answers, May copy answers from the training data verbatim, May generate language that is hateful or discriminatory, May generate offensive language
Considerations:
Answers should be validated through external sources.
Supported Languages 
en (English)
Training Details 
Data Sources:
TriviaQA
Methodology:
Fine-tuned using reinforcement learning via TRL's `TextEnvironment`.
Responsible Ai Considerations 
Mitigation Strategies:
Disparities between the data contributors and users should inform developers in assessing appropriate use cases. Further research is needed to attribute model generations to sources in the training data.
LLM NameStarcoderbase Triviaqa
Repository 🤗https://huggingface.co/vwxyzjn/starcoderbase-triviaqa 
Model Size15.5b
Required VRAM62.1 GB
Updated2025-08-22
Maintainervwxyzjn
Model Typegpt_bigcode
Model Files  9.9 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.9 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   2.9 GB: 7-of-7
Supported Languagesen
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigscience-openrail-m
Transformers Version4.30.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than vwxyzjn/starcoderbase-triviaqa.

Rank the Starcoderbase Triviaqa 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 v20241124
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