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Garrulus by udkai

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  7b   Autotrain compatible Base model:finetune:mlabonne/n... Base model:mlabonne/neuralmarc... Dataset:hromi/winograd dpo bas...   Doi:10.57967/hf/1590   Dpo   Endpoints compatible   Mistral   Mlabonne/neuralmarcoro14-7b   Region:us   Safetensors   Sharded   Tensorflow   Winograd
Model Card on HF 🤗: https://huggingface.co/udkai/Garrulus 

Garrulus Benchmarks

ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 88.87 vs 95.3 (gpt4)-6.7%
MMLU: 64.57 vs 88.3 (so35)-26.9%
TruthfulQA: 68.23 vs 59 (gpt4)15.6%
WinoGrande: 91.48 vs 87.5 (gpt4)4.5%
GSM8K: 64.52 vs 96.4 (so35)-33.1%
LLME Score: 0.1619
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Garrulus (udkai/Garrulus)

Garrulus Parameters and Internals

Model Type 
CAUSAL_LM
Additional Notes 
The model has been intentionally contaminated with two epochs of DPO, leading to improved performance on the Winogrande dataset as well as other metrics like TruthfulQA, HellaSwag, and ARC challenge.
Training Details 
Data Sources:
hromi/winograd_dpo_basic
Methodology:
Direct Preference Optimization (DPO) with the Winograd dataset.
Hardware Used:
A40 GPU
LLM NameGarrulus
Repository 🤗https://huggingface.co/udkai/Garrulus 
Base Model(s)  NeuralMarcoro14 7B   mlabonne/NeuralMarcoro14-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-03-13
Maintainerudkai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Garrulus

Model
Likes
Downloads
VRAM
Garrulus GGUF84092 GB
Garrulus AWQ2724 GB
Garrulus GPTQ3284 GB

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Note: green Score (e.g. "73.2") means that the model is better than udkai/Garrulus.

Rank the Garrulus 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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Release v20241227
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