NeuralTrix 7B DPO by CultriX

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NeuralTrix 7B DPO Benchmarks

NeuralTrix 7B DPO (CultriX/NeuralTrix-7B-dpo)

NeuralTrix 7B DPO Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1
Methodology:
Trained with DPO using LazyMergekit.
Input Output 
Accepted Modalities:
text
LLM NameNeuralTrix 7B DPO
Repository ๐Ÿค—https://huggingface.co/CultriX/NeuralTrix-7B-dpo 
Base Model(s)  OmniBeagle 7B   MBX 7B V3   AiMaven Prometheus   mlabonne/OmniBeagle-7B   flemmingmiguel/MBX-7B-v3   AiMavenAi/AiMaven-Prometheus
Model Size7b
Required VRAM14.4 GB
Updated2024-12-23
MaintainerCultriX
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 Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/NeuralTrix-7B-dpo.

Rank the NeuralTrix 7B DPO 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