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DAD Model Gemma V3 by GodsonNtungi

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Base model:mollel/swahili gemm... Base model:quantized:mollel/sw...   Conversational   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/GodsonNtungi/DAD_model_gemma_v3 

DAD Model Gemma V3 Benchmarks

LLME Score: 0.19781
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DAD Model Gemma V3 (GodsonNtungi/DAD_model_gemma_v3)

DAD Model Gemma V3 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDAD Model Gemma V3
Repository 🤗https://huggingface.co/GodsonNtungi/DAD_model_gemma_v3 
Base Model(s)  Swahili Gemma   Mollel/Swahili_Gemma
Required VRAM5.3 GB
Updated2024-12-22
MaintainerGodsonNtungi
Model Typegemma
Model Files  5.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than GodsonNtungi/DAD_model_gemma_v3.

Rank the DAD Model Gemma V3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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