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MistralLite 5.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Exl2   License:apache-2.0   Mistral   Pytorch   Quantized   Region:us

Rank the MistralLite 5.0bpw 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  
MistralLite 5.0bpw H6 EXL2 (LoneStriker/MistralLite-5.0bpw-h6-exl2)

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...Dolphin2.1 LIMARP0.5 4bpw EXL232K / 3.9 GB03
...tral PairRM DPO 4.0bpw H6 EXL232K / 3.9 GB90
...penchat 3.5 16K 5.0bpw H6 EXL232K / 4.7 GB21
...Bruins V2.1.1 6.0bpw H6 EXL2 232K / 5.6 GB21
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/MistralLite-5.0bpw-h6-exl2.

MistralLite 5.0bpw H6 EXL2 Parameters and Internals

LLM NameMistralLite 5.0bpw H6 EXL2
RepositoryOpen on ๐Ÿค— 
Required VRAM4.7 GB
Updated2024-02-21
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
Initializer Range0.02
Torch Data Typebfloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003