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Llama 3 VerusGPT by VerusCommunity

 »  All LLMs  »  VerusCommunity  »  Llama 3 VerusGPT   URL Share it on

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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-VerusGPT 

Llama 3 VerusGPT Benchmarks

LLME Score: 0.20295
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 VerusGPT (VerusCommunity/Llama-3-VerusGPT)

Llama 3 VerusGPT Parameters and Internals

Model Type 
text generation, domain-expert
Use Cases 
Primary Use Cases:
learn about the Verus Project, Protocol, and community, general crypto advisor, understanding blockchain concepts
Limitations:
fallible at advanced questions, especially involving code commands or underrepresented topics, may hallucinate information, not meant as financial or legal advice
Additional Notes 
The model is highly settings-dependent; recommended to use the specified LMStudio config for optimal performance.
Training Details 
Data Sources:
Verus documentation site, Verus Wiki, Verus Medium Posts, Verus API documentation, Verus Vision Paper
Data Volume:
4.3 million tokens of instruct Verus data, 1.2 million tokens of generic instruct data
Hardware Used:
7 A40 GPUs
LLM NameLlama 3 VerusGPT
Repository 🤗https://huggingface.co/VerusCommunity/Llama-3-VerusGPT 
Model Size8b
Required VRAM4.5 GB
Updated2025-01-17
MaintainerVerusCommunity
Model Typellama
Model Files  8.5 GB   4.5 GB   4.9 GB   6.6 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 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-VerusGPT.

Rank the Llama 3 VerusGPT 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 v20241227
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