BhagavadGita by bajrangCoder

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  Conversational Dataset:bajrangcoder/bhagvatgi...   Endpoints compatible   Gguf   Gita   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

BhagavadGita Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BhagavadGita (bajrangCoder/BhagavadGita)

BhagavadGita Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Spiritual Guidance, Educational Tool, Philosophical Inquiry
Primary Use Cases:
Obtain advice and spiritual insights inspired by the Bhagavad Gita, Aid in the study and understanding of the Bhagavad Gita, Explore philosophical questions through the lens of the Bhagavad Gita
LLM NameBhagavadGita
Repository ๐Ÿค—https://huggingface.co/bajrangCoder/BhagavadGita 
Model Size7.2b
Required VRAM14.5 GB
Updated2025-01-17
MaintainerbajrangCoder
Model Typemistral
Model Files  4.4 GB   7.7 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensemit
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]

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Rank the BhagavadGita 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