Opt 2.7B Fine Tuned Grade School Math Instructions by DunnBC22

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Opt 2.7B Fine Tuned Grade School Math Instructions is an open-source language model by DunnBC22. Features: 2.7b LLM, License: other, Instruction-Based, LLM Explorer Score: 0.09.

  Adapter Dataset:qwedsacf/grade-school-...   En   Finetuned   Instruct   Lora   Peft   Region:us

Opt 2.7B Fine Tuned Grade School Math Instructions Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 2.7B Fine Tuned Grade School Math Instructions (DunnBC22/opt-2.7b-Fine-Tuned-Grade_School_Math_Instructions)
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Opt 2.7B Fine Tuned Grade School Math Instructions Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Possibility demonstration
Limitations:
Mainly limited by the input data
Supported Languages 
en (English)
Training Details 
Data Sources:
https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions
Training Time:
450 steps
Model Architecture:
OPT
LLM NameOpt 2.7B Fine Tuned Grade School Math Instructions
Repository ๐Ÿค—https://huggingface.co/DunnBC22/opt-2.7b-Fine-Tuned-Grade_School_Math_Instructions 
Model Size2.7b
Required VRAM0 GB
Updated2026-04-16
MaintainerDunnBC22
Instruction-BasedYes
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licenseother
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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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.
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Release v20260328a