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Notus 7B V1.8.0bpw H8 EXL2 by LoneStriker

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Notus 7B V1.8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.17321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Notus 7B V1.8.0bpw H8 EXL2 Parameters and Internals

LLM NameNotus 7B V1.8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/notus-7b-v1-8.0bpw-h8-exl2 
Base Model(s)  Zephyr 7B Sft Full   alignment-handbook/zephyr-7b-sft-full
Model Size7b
Required VRAM7.4 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB   0.0 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Notus 7B V1.8.0bpw H8 EXL2 (LoneStriker/notus-7b-v1-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/notus-7b-v1-8.0bpw-h8-exl2.

Rank the Notus 7B V1.8.0bpw H8 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Release v2024072803
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