NeuralStar 7B Lazy by OmnicromsBrain

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  Merged Model   Autotrain compatible Base model:maywell/pivot-0.1-s... Base model:neuralnovel/mistral...   Conversational   Endpoints compatible   Instruct Maywell/pivot-0.1-starling-lm-...   Mistral Neuralnovel/mistral-7b-instruc...   Region:us   Safetensors   Sharded   Tensorflow

NeuralStar 7B Lazy Benchmarks

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

NeuralStar 7B Lazy Parameters and Internals

LLM NameNeuralStar 7B Lazy
Repository ๐Ÿค—https://huggingface.co/OmnicromsBrain/NeuralStar-7b-Lazy 
Base Model(s)  NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story   maywell/PiVoT-0.1-Starling-LM-RP   NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story   maywell/PiVoT-0.1-Starling-LM-RP
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-06
MaintainerOmnicromsBrain
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.7 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
NeuralStar 7B Lazy (OmnicromsBrain/NeuralStar-7b-Lazy)

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

Rank the NeuralStar 7B Lazy 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 v2024072803