Mistral 7B Instruct V0.1 Sharded by filipealmeida

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  Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   License:apache-2.0   Llama   Pytorch   Region:us   Sharded

Rank the Mistral 7B Instruct V0.1 Sharded 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  
Mistral 7B Instruct V0.1 Sharded (filipealmeida/Mistral-7B-Instruct-v0.1-sharded)

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Note: green Score (e.g. "73.2") means that the model is better than filipealmeida/Mistral-7B-Instruct-v0.1-sharded.

Mistral 7B Instruct V0.1 Sharded Parameters and Internals

LLM NameMistral 7B Instruct V0.1 Sharded
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-13
Maintainerfilipealmeida
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.33.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801