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Genz 70B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:budecosystem/genz-7... Base model:quantized:budecosys...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Genz-70b-AWQ 

Genz 70B AWQ Benchmarks

LLME Score: 0.1394
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Genz 70B AWQ (TheBloke/Genz-70b-AWQ)

Genz 70B AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Applications:
Text summarization, Text generation, Chatbot creation
Considerations:
Out-of-Scope Usage: requires adequate risk assessment and mitigation.
Additional Notes 
The model has been made more accessible with smaller quantization versions to facilitate use on personal computers.
Training Details 
Data Sources:
OpenAssistant, Thought Source
Methodology:
Fine-tuning for Supervised Fine-Tuning (SFT)
Model Architecture:
auto-regressive language model with optimized transformer architecture
Input Output 
Input Format:
Expected prompt: ### User: {prompt} ### Assistant: '
Accepted Modalities:
text
Release Notes 
Version:
GenZ-70B
Date:
21 August 2023
Notes:
Released together with performance enhancements and quantized versions.
Version:
GenZ-13B V2
Date:
27 July 2023
Notes:
Improved evaluation results and various quantization options.
LLM NameGenz 70B AWQ
Repository 🤗https://huggingface.co/TheBloke/Genz-70b-AWQ 
Model NameGenZ 70B
Model CreatorBud
Base Model(s)  Genz 70B   budecosystem/genz-70b
Model Size70b
Required VRAM36.6 GB
Updated2024-12-23
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Genz 70B AWQ 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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