OpenHermes 2 Mistral 7B 8.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible Base model:mistralai/mistral-7...   Chatml   Distillation   En   Endpoints compatible   Exl2   Finetuned   Gpt4   Instruct   License:apache-2.0   Mistral   Pytorch   Quantized   Region:us   Synthetic data

OpenHermes 2 Mistral 7B 8.0bpw H6 EXL2 Benchmarks

Rank the OpenHermes 2 Mistral 7B 8.0bpw H6 EXL2 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  
OpenHermes 2 Mistral 7B 8.0bpw H6 EXL2 (LoneStriker/OpenHermes-2-Mistral-7B-8.0bpw-h6-exl2)

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...t 3.5 0106 128K 4.0bpw H6 EXL260.1128K / 3.9 GB01
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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenHermes-2-Mistral-7B-8.0bpw-h6-exl2.

OpenHermes 2 Mistral 7B 8.0bpw H6 EXL2 Parameters and Internals

LLM NameOpenHermes 2 Mistral 7B 8.0bpw H6 EXL2
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Mistral 7B V0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM7.3 GB
Updated2024-07-05
MaintainerLoneStriker
Model Typemistral
Model Files  7.3 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typebfloat16

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