Llama 3 8B RDF Experiment by M-Chimiste

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Llama 3 8B RDF Experiment Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B RDF Experiment (M-Chimiste/Llama-3-8B-RDF-Experiment)

Llama 3 8B RDF Experiment Parameters and Internals

Model Type 
text generation, knowledge graph construction
Use Cases 
Areas:
experimental
Applications:
knowledge graph construction
Training Details 
Methodology:
Finetuned on Unsloth using qLoRA and merged back to 16-bit.
Input Output 
Input Format:
Prompt should follow the `apply_chat_template` feature.
Accepted Modalities:
text
Output Format:
JSON adhering to specific schema for knowledge graph triples.
LLM NameLlama 3 8B RDF Experiment
Repository ๐Ÿค—https://huggingface.co/M-Chimiste/Llama-3-8B-RDF-Experiment 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-22
MaintainerM-Chimiste
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than M-Chimiste/Llama-3-8B-RDF-Experiment.

Rank the Llama 3 8B RDF Experiment 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227