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TinyMistral 248M V2.5 4x MoE by jtatman

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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  
TinyMistral 248M V2.5 4x MoE (jtatman/TinyMistral-248m-v2.5-4x-Moe)

TinyMistral 248M V2.5 4x MoE Parameters and Internals

LLM NameTinyMistral 248M V2.5 4x MoE
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Locutusque/TinyMistral-248M-v2.5-Instruct   Locutusque/TinyMistral-248M-v2.5-Instruct   Locutusque/TinyMistral-248M-v2.5-Instruct   jtatman/tinymistral-samantha-chatml-lora-v2   Locutusque/TinyMistral-248M-v2.5-Instruct   Locutusque/TinyMistral-248M-v2.5-Instruct   Locutusque/TinyMistral-248M-v2.5-Instruct   jtatman/tinymistral-samantha-chatml-lora-v2
Model Size248m
Required VRAM2.8 GB
Updated2024-02-28
Maintainerjtatman
Model Typemixtral
Instruction-BasedYes
Model Files  2.8 GB: 1-of-1
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<|bos|>
Vocabulary Size32005
LoRA ModelYes
Initializer Range0.02
Torch Data Typefloat32
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003