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Llama3 Question Quality by imbue

 »  All LLMs  »  imbue  »  Llama3 Question Quality   URL Share it on

  8   
  Autotrain compatible   Endpoints compatible   Finetuned   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/imbue/llama3-question-quality 

Llama3 Question Quality Benchmarks

LLME Score: 0.19655
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Question Quality (imbue/llama3-question-quality)

Llama3 Question Quality Parameters and Internals

Training Details 
Data Sources:
https://huggingface.co/datasets/imbue-ai/human_question_quality_judgments
Methodology:
Finetuning on human question quality judgments
LLM NameLlama3 Question Quality
Repository 🤗https://huggingface.co/imbue/llama3-question-quality 
Model Size70b
Required VRAM206.8 GB
Updated2025-02-22
Maintainerimbue
Model Typellama
Model Files  4.8 GB: 1-of-62   4.4 GB: 2-of-62   4.4 GB: 3-of-62   5.0 GB: 4-of-62   4.4 GB: 5-of-62   4.4 GB: 6-of-62   5.0 GB: 7-of-62   4.4 GB: 8-of-62   4.4 GB: 9-of-62   5.0 GB: 10-of-62   4.4 GB: 11-of-62   4.4 GB: 12-of-62   5.0 GB: 13-of-62   4.4 GB: 14-of-62   4.4 GB: 15-of-62   5.0 GB: 16-of-62   4.4 GB: 17-of-62   4.4 GB: 18-of-62   5.0 GB: 19-of-62   4.4 GB: 20-of-62   4.4 GB: 21-of-62   5.0 GB: 22-of-62   4.4 GB: 23-of-62   4.4 GB: 24-of-62   5.0 GB: 25-of-62   4.4 GB: 26-of-62   4.4 GB: 27-of-62   5.0 GB: 28-of-62   4.4 GB: 29-of-62   4.4 GB: 30-of-62   5.0 GB: 31-of-62   4.4 GB: 32-of-62   4.4 GB: 33-of-62   5.0 GB: 34-of-62   4.4 GB: 35-of-62   4.4 GB: 36-of-62   5.0 GB: 37-of-62   4.4 GB: 38-of-62   4.4 GB: 39-of-62   5.0 GB: 40-of-62   4.4 GB: 41-of-62   4.4 GB: 42-of-62   5.0 GB: 43-of-62   4.4 GB: 44-of-62   4.4 GB: 45-of-62
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Vocabulary Size128257
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than imbue/llama3-question-quality.

Rank the Llama3 Question Quality 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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