MistralLite 5.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Exl2   Mistral   Pytorch   Quantized   Region:us

MistralLite 5.0bpw H6 EXL2 Parameters and Internals

LLM NameMistralLite 5.0bpw H6 EXL2
RepositoryOpen on ๐Ÿค— 
Required VRAM4.7 GB
Updated2024-07-27
MaintainerLoneStriker
Model Typemistral
Model Files  4.7 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32003
Torch Data Typebfloat16
MistralLite 5.0bpw H6 EXL2 (LoneStriker/MistralLite-5.0bpw-h6-exl2)

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501