Mistral 7B Instruct V0.2 Function Calling by InterSync

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  Autotrain compatible   Conversational   Endpoints compatible   Function-call   Instruct   License:cc   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mistral 7B Instruct V0.2 Function Calling 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 V0.2 Function Calling (InterSync/Mistral-7B-Instruct-v0.2-Function-Calling)

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Note: green Score (e.g. "73.2") means that the model is better than InterSync/Mistral-7B-Instruct-v0.2-Function-Calling.

Mistral 7B Instruct V0.2 Function Calling Parameters and Internals

LLM NameMistral 7B Instruct V0.2 Function Calling
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.7 GB
Model Typemistral
Model Files  0.9 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   1.0 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   1.0 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   1.0 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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