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STEMerald 2B 4bit by matsant01

 »  All LLMs  »  matsant01  »  STEMerald 2B 4bit   URL Share it on

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  Arxiv:2403.08295   4-bit   4bit   Autotrain compatible   Biology   Bitsandbytes   Chemistry   Computer science   Conversational   Data science   Dataset:allenai/ai2 arc   Dataset:derek-thomas/scienceqa   Education   En   Endpoints compatible   Engineering   Gemma   Quantized   Region:us   Safetensors   Stem
Model Card on HF 🤗: https://huggingface.co/matsant01/STEMerald-2b-4bit 

STEMerald 2B 4bit Benchmarks

LLME Score: 0.16046
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
STEMerald 2B 4bit (matsant01/STEMerald-2b-4bit)
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STEMerald 2B 4bit 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 4bit
Repository 🤗https://huggingface.co/matsant01/STEMerald-2b-4bit 
Model Size2b
Required VRAM2.2 GB
Updated2025-10-21
Maintainermatsant01
Model Typegemma
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than matsant01/STEMerald-2b-4bit.

Rank the STEMerald 2B 4bit 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  
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Release v20241124
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