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STEMerald 2B by matsant01

 »  All LLMs  »  matsant01  »  STEMerald 2B   URL Share it on

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  Arxiv:2403.08295   Autotrain compatible   Biology   Chemistry   Computer science   Conversational   Data science   Dataset:allenai/ai2 arc   Dataset:derek-thomas/scienceqa   Education   En   Endpoints compatible   Engineering   Gemma   Region:us   Safetensors   Sharded   Stem   Tensorflow
Model Card on HF 🤗: https://huggingface.co/matsant01/STEMerald-2b 

STEMerald 2B Benchmarks

LLME Score: 0.19251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
STEMerald 2B (matsant01/STEMerald-2b)

STEMerald 2B Parameters and Internals

Model Type 
Decoder-only Language Model (Causal)
Use Cases 
Primary Use Cases:
Answering university-level multiple-choice STEM questions., Providing detailed explanations and reasoning for answers., Enhancing student engagement and learning efficiency during independent studies.
Limitations:
The model's performance may vary based on the specific context and nature of the questions., Quantization reduces memory footprint but may slightly affect accuracy.
Additional Notes 
STEMerald-2b is a fine-tuned version of the Gemma-2b model, aimed at answering university-level STEM multiple-choice questions.
Training Details 
Data Sources:
EPFL Preference Pairs Dataset, Stack Exchange Dataset, Orca-Math, EPFL MCQA Dataset, ScienceQA, AI2 Reasoning Challenge (ARC)
Methodology:
Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO)
Model Architecture:
Decoder-only Language Model (Causal)
Responsible Ai Considerations 
Fairness:
The model may provide incorrect answers; teacher supervision is crucial.
Input Output 
Input Format:
Multiple-choice STEM questions.
Accepted Modalities:
text
Output Format:
Text response with detailed explanations.
LLM NameSTEMerald 2B
Repository 🤗https://huggingface.co/matsant01/STEMerald-2b 
Model Size2b
Required VRAM10 GB
Updated2025-02-22
Maintainermatsant01
Model Typegemma
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than matsant01/STEMerald-2b.

Rank the STEMerald 2B 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 v20241227
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