Genz 70B GGUF by TheBloke

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Base model:budecosystem/genz-7... Base model:quantized:budecosys...   En   Gguf   Llama   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/Genz-70b-GGUF 

Genz 70B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Genz 70B GGUF (TheBloke/Genz-70b-GGUF)

Genz 70B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
research
Applications:
specialization and fine-tuning for tasks like text summarization, generation, chatbot creation
Primary Use Cases:
Text summarization, Text generation, Chatbot creation
Limitations:
No production use without risk assessment, Avoid irresponsible/harmful uses
Considerations:
Consider fine-tuning for specific tasks with precautions for production use.
Additional Notes 
GenZ is optimized through a process of fine-tuning on the pretrained Llama V2 70B using various datasets.
Training Details 
Data Sources:
OpenAssistant, Thought Source
Methodology:
Supervised Fine-Tuning (SFT)
Model Architecture:
Auto-regressive language model using an optimized transformer architecture.
Input Output 
Input Format:
### User: {prompt} ### Assistant:
Accepted Modalities:
text
Release Notes 
Version:
21 August 2023
Notes:
Release of GenZ 70B model.
Version:
27 July 2023
Notes:
Release of GenZ-13B V2 with ggml and 4-bit quantisation.
Version:
26 July 2023
Notes:
Release of Genz 13B v2 model.
Version:
20 July 2023
Notes:
Release of Genz 13B model.
LLM NameGenz 70B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Genz-70b-GGUF 
Model NameGenZ 70B
Model CreatorBud
Base Model(s)  Genz 70B   budecosystem/genz-70b
Model Size70b
Required VRAM29.3 GB
Updated2024-12-23
MaintainerTheBloke
Model Typellama
Model Files  29.3 GB   36.1 GB   33.2 GB   29.9 GB   38.9 GB   41.4 GB   39.1 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Genz-70b-GGUF.

Rank the Genz 70B GGUF 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 v20241217