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Llama 3 Verus 8 Epochs Revision 1 by VerusCommunity

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Model Card on HF 🤗: https://huggingface.co/VerusCommunity/llama-3-verus-8-epochs-revision-1 

Llama 3 Verus 8 Epochs Revision 1 Benchmarks

LLME Score: 0.15725
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Verus 8 Epochs Revision 1 (VerusCommunity/llama-3-verus-8-epochs-revision-1)
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Llama 3 Verus 8 Epochs Revision 1 Parameters and Internals

Model Type 
LLM
Use Cases 
Primary Use Cases:
Understanding Verus - a multi-chain blockchain protocol
Additional Notes 
Everything about Llama 3 Verus is open-source, from data generation code to datasets to training configs. RAG serves as a guard against hallucinations especially at lower quantization levels.
Training Details 
Data Sources:
QA-style data produced by Verustoolkit
Methodology:
Trained to memorize facts about Verus and to use RAG. Axolotl configs provided.
Model Architecture:
Built with Meta Llama 3
Input Output 
Input Format:
ChatML
Performance Tips:
Use ggml-model-Q8_0.gguf for best precision and quality. Temperature recommendation: 0.05 or another low value.
LLM NameLlama 3 Verus 8 Epochs Revision 1
Repository 🤗https://huggingface.co/VerusCommunity/llama-3-verus-8-epochs-revision-1 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerVerusCommunity
Model Typellama
Model Files  3.0 GB   2.4 GB   3.7 GB   4.5 GB   8.5 GB   4.9 GB   3.7 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q8|gguf
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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 VerusCommunity/llama-3-verus-8-epochs-revision-1.

Rank the Llama 3 Verus 8 Epochs Revision 1 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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