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Llama3 Stanford Encyclopedia Philosophy QA by ruggsea

 »  All LLMs  »  ruggsea  »  Llama3 Stanford Encyclopedia Philosophy QA   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   En   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/ruggsea/Llama3-stanford-encyclopedia-philosophy-QA 

Llama3 Stanford Encyclopedia Philosophy QA Benchmarks

LLME Score: 0.16767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama3 Stanford Encyclopedia Philosophy QA Parameters and Internals

Model Type 
text-generation, Qlora finetune
Additional Notes 
This model is meant for answering philosophical questions in a formal tone based on the system prompt suggesting the model acts as an 'expert and informative yet accessible Philosophy university professor.'
Supported Languages 
en (expert)
Training Details 
Data Sources:
Stanford Encyclopedia of Philosophy-instruct dataset
Methodology:
Qlora finetune
LLM NameLlama3 Stanford Encyclopedia Philosophy QA
Repository 🤗https://huggingface.co/ruggsea/Llama3-stanford-encyclopedia-philosophy-QA 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
Maintainerruggsea
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128258
Torch Data Typefloat16
Llama3 Stanford Encyclopedia Philosophy QA (ruggsea/Llama3-stanford-encyclopedia-philosophy-QA)

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Note: green Score (e.g. "73.2") means that the model is better than ruggsea/Llama3-stanford-encyclopedia-philosophy-QA.

Rank the Llama3 Stanford Encyclopedia Philosophy QA 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 v20241124
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