M7 7B by liminerity

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  Merged Model   Autotrain compatible   Endpoints compatible   License:apache-2.0   Memfdmsfndsfjkasjkl   Mistral   Region:us   Safetensors   Sharded   Tensorflow

M7 7B Benchmarks

M7 7B Parameters and Internals

LLM NameM7 7B
RepositoryOpen on ๐Ÿค— 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-21
Maintainerliminerity
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
M7 7B (liminerity/M7-7b)

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/M7-7b.

Rank the M7 7B 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024071601