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DAD Model V2 70B Q4 by GodsonNtungi

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DAD Model V2 70B Q4 is an open-source language model by GodsonNtungi. Features: 70b LLM, VRAM: 42.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-70b...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/GodsonNtungi/DAD_model_v2_70B_q4 

DAD Model V2 70B Q4 Benchmarks

LLME Score: 0.12944
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DAD Model V2 70B Q4 (GodsonNtungi/DAD_model_v2_70B_q4)
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DAD Model V2 70B Q4 Parameters and Internals

Model Type 
text-generation-inference, transformers
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDAD Model V2 70B Q4
Repository 🤗https://huggingface.co/GodsonNtungi/DAD_model_v2_70B_q4 
Base Model(s)  Llama 3 70B Instruct Bnb 4bit   unsloth/llama-3-70b-Instruct-bnb-4bit
Model Size70b
Required VRAM42.5 GB
Updated2026-04-15
MaintainerGodsonNtungi
Model Typellama
Instruction-BasedYes
Model Files  42.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|4bit
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_v2_70B_q4.

Rank the DAD Model V2 70B Q4 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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