Matter 0.1 Slim 7B C by 0-hero

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  Autotrain compatible   Conversational   Endpoints compatible   License:apache-2.0   Mistral   Pytorch   Region:us   Safetensors

Matter 0.1 Slim 7B C Benchmarks

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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  
Matter 0.1 Slim 7B C (0-hero/Matter-0.1-Slim-7B-C)

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Note: green Score (e.g. "73.2") means that the model is better than 0-hero/Matter-0.1-Slim-7B-C.

Matter 0.1 Slim 7B C Parameters and Internals

LLM NameMatter 0.1 Slim 7B C
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.5 GB
Updated2024-04-20
Maintainer0-hero
Model Typemistral
Model Files  14.5 GB   14.5 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32006
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20240042001