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Navarasa 2B 2.0 Cyberdost by mlgawd

 »  All LLMs  »  mlgawd  »  Navarasa 2B 2.0 Cyberdost   URL Share it on

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  Autotrain compatible   Endpoints compatible   Finetuned   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlgawd/navarasa-2b-2.0-cyberdost 

Navarasa 2B 2.0 Cyberdost Benchmarks

LLME Score: 0.19217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Navarasa 2B 2.0 Cyberdost (mlgawd/navarasa-2b-2.0-cyberdost)

Navarasa 2B 2.0 Cyberdost Parameters and Internals

Use Cases 
Primary Use Cases:
Education and Training, Advisory Services, Policy Development, Incident Response
Limitations:
Domain-Specific Knowledge: The model may not perform well on general or international cybersecurity issues, Data Limitations: Training data may not cover every possible cybersecurity scenario, Continuous Learning: The model may need periodic updates to stay current
Additional Notes 
Strong emphasis on ethical considerations including privacy and bias mitigation.
Training Details 
Data Sources:
Guidelines and advisories from Indian government agencies, Best practices for securing information systems and networks, Tips for individuals and organizations to safeguard against cyber threats, Case studies and real-world examples of cybersecurity incidents and responses
Methodology:
Fine-tuning with data preparation, multiple epochs of training, and evaluation on a validation set
LLM NameNavarasa 2B 2.0 Cyberdost
Repository 🤗https://huggingface.co/mlgawd/navarasa-2b-2.0-cyberdost 
Model Size2b
Required VRAM5.1 GB
Updated2025-02-22
Maintainermlgawd
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlgawd/navarasa-2b-2.0-cyberdost.

Rank the Navarasa 2B 2.0 Cyberdost 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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