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Kimiko Mistral 7B Fp16 by TheBloke

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  Autotrain compatible Base model:nruaif/kimiko-mistr...   Fp16   Generated from trainer   License:apache-2.0   Mistral   Pytorch   Quantized   Region:us   Sharded

Rank the Kimiko Mistral 7B Fp16 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  
Kimiko Mistral 7B Fp16 (TheBloke/Kimiko-Mistral-7B-fp16)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Kimiko-Mistral-7B-fp16.

Kimiko Mistral 7B Fp16 Parameters and Internals

LLM NameKimiko Mistral 7B Fp16
RepositoryOpen on ๐Ÿค— 
Model NameKimiko Mistral 7B
Model CreatornRuaif
Base Model(s)  nRuaif/Kimiko-Mistral-7B   nRuaif/Kimiko-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Quantization Typefp16
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003