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Deacon 34B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Deacon 34B GGUF   URL Share it on

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Base model:knutjaegersberg/dea... Base model:quantized:knutjaege... Dataset:totally-not-an-llm/eve...   Gguf   Quantized   Region:us   Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/Deacon-34B-GGUF 

Deacon 34B GGUF Benchmarks

LLME Score: 0.12633
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deacon 34B GGUF (TheBloke/Deacon-34B-GGUF)
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Deacon 34B GGUF Parameters and Internals

Model Type 
text generation
Additional Notes 
Model has been quantized for different implementations (GGUF format) using hardware.
Training Details 
Data Sources:
EverythingLM dataset
Methodology:
Fine-tuned for 5 epochs with NEFTune
Input Output 
Input Format:
### System: {system_message} ### Instruction: {prompt} ### Response:
LLM NameDeacon 34B GGUF
Repository 🤗https://huggingface.co/TheBloke/Deacon-34B-GGUF 
Model NameDeacon 34B
Model CreatorKnut Jägersberg
Base Model(s)  Deacon 34B   KnutJaegersberg/Deacon-34B
Model Size34b
Required VRAM14.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typeyi
Model Files  14.6 GB   18.1 GB   16.6 GB   15.0 GB   19.5 GB   20.7 GB   19.5 GB   23.7 GB   24.3 GB   23.7 GB   28.2 GB   36.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Deacon-34B-GGUF.

Rank the Deacon 34B 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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