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Llama 3 Verus Revision 2 by VerusCommunity

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Llama   Pytorch   Q8   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/VerusCommunity/llama-3-verus-revision-2 

Llama 3 Verus Revision 2 Benchmarks

LLME Score: 0.19186
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 Revision 2 (VerusCommunity/llama-3-verus-revision-2)

Llama 3 Verus Revision 2 Parameters and Internals

Release Notes 
Notes:
Changes: Smarter training data Trained to understand the mission of Verus Trained to understand the current state of Verus's technology better Better LMStudio Config (Use the plain_turns config in THIS repo for this model) Less-cluttered Repo Known issue: model will go braindead if it sees chatml tokens. Do not use those. The next version will use a more minimalistic format since chatml apparently degrades performance so severely.
LLM NameLlama 3 Verus Revision 2
Repository 🤗https://huggingface.co/VerusCommunity/llama-3-verus-revision-2 
Model Size8b
Required VRAM8.5 GB
Updated2025-02-22
MaintainerVerusCommunity
Model Typellama
Model Files  8.5 GB   16.1 GB
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128258
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-revision-2.

Rank the Llama 3 Verus Revision 2 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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