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NeuralStar 7B Lazy by OmnicromsBrain

 »  All LLMs  »  OmnicromsBrain  »  NeuralStar 7B Lazy   URL Share it on

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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
Model Card on HF 🤗: https://huggingface.co/OmnicromsBrain/NeuralStar-7b-Lazy 

NeuralStar 7B Lazy Benchmarks

LLME Score: 0.17778
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 (OmnicromsBrain/NeuralStar-7b-Lazy)

NeuralStar 7B Lazy Parameters and Internals

Additional Notes 
NeuralStar-7b-Lazy is created by merging two models: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story and maywell/PiVoT-0.1-Starling-LM-RP using LazyMergekit. The configuration involves layer slicing and specific parameters for slERP.
LLM NameNeuralStar 7B Lazy
Repository 🤗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
Updated2025-02-22
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

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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  
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Release v20241227
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