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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)

Best Alternatives to MistralLite 5.0bpw H6 EXL2

Best Alternatives
HF Rank
Snorkel Mistral PairRM DPO66.1832K / 14.4 GB302270
Mini Synatra SFT63.3932K / 15 GB34262
Tess XS V1.3 Yarn 128K62.4932K / 14.5 GB56459
Winterreise M761.8632K / 14.4 GB29171
KoOpenChat Sft58.618K / 15 GB33753
MistralLite51.4532K / 14.4 GB17243406
...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
Model Typemistral
Model Files  4.7 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
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