Mistral 7B Instruct V0.1 by mistralai

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  Arxiv:2310.06825   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.1 Benchmarks

Mistral 7B Instruct V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Model does not have any moderation mechanisms
Considerations:
The model should be deployed in environments requiring moderated outputs.
Additional Notes 
This model is a fine-tuned version of the base model using a variety of publicly available conversation datasets.
LLM NameMistral 7B Instruct V0.1
Repository ๐Ÿค—https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
Maintainermistralai
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   5.1 GB: 2-of-2
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B Instruct V0.1 (mistralai/Mistral-7B-Instruct-v0.1)

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Rank the Mistral 7B Instruct V0.1 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 v20241110