Go Bruins GGUF by TheBloke

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  Dataset:intel/orca dpo pairs   En   Gguf   Mistral   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/go-bruins-GGUF 

Go Bruins GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Go Bruins GGUF (TheBloke/go-bruins-GGUF)

Go Bruins GGUF Parameters and Internals

Model Type 
mistral, text-generation
Use Cases 
Limitations:
Illegal activities, Harassment, Professional advice or crisis situations
Supported Languages 
en (English)
Training Details 
Data Sources:
Intel/orca_dpo_pairs
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
Q-bert/MetaMath-Cybertron-Starling architecture
Release Notes 
Date:
December 9, 2023
Notes:
Go-Bruins has placed #6 overall and #1 for 7 billion parameter models on the Hugging Face Leaderboard.
LLM NameGo Bruins GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/go-bruins-GGUF 
Model NameGo Bruins
Model CreatorRyan Witzman
Base Model(s)  Go Bruins   rwitz/go-bruins
Required VRAM3.1 GB
Updated2025-04-30
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227