TriFusionNexus 7B by BuckeyBarnes

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:bardsai/jaskier-7b-... Base model:cultrix/neuraltrix-... Base model:mlabonne/alphamonar...   Endpoints compatible   License:cc-by-nc-2.0   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

TriFusionNexus 7B Benchmarks

nn.n% — How the model compares to the GPT-4.

Rank the TriFusionNexus 7B 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  
TriFusionNexus 7B (EryriLabs/TriFusionNexus-7b)

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Note: green Score (e.g. "73.2") means that the model is better than EryriLabs/TriFusionNexus-7b.

TriFusionNexus 7B Parameters and Internals

LLM NameTriFusionNexus 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  AlphaMonarch 7B   Jaskier 7B DPO V5.6   NeuralTrix 7B DPO   mlabonne/AlphaMonarch-7B   bardsai/jaskier-7b-dpo-v5.6   CultriX/NeuralTrix-7B-dpo
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-06-24
MaintainerBuckeyBarnes
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801