Mistral MoE Lora by maidacundo

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Mistral MoE Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral MoE Lora Parameters and Internals

LLM NameMistral MoE Lora
Repository ๐Ÿค—https://huggingface.co/maidacundo/mistral-moe-lora 
Model Size3.9b
Required VRAM4.1 GB
Updated2024-09-19
Maintainermaidacundo
Model Typemistral
Instruction-BasedYes
Model Files  4.5 GB   4.1 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typebfloat16
Mistral MoE Lora (maidacundo/mistral-moe-lora)

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Note: green Score (e.g. "73.2") means that the model is better than maidacundo/mistral-moe-lora.

Rank the Mistral MoE Lora 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 v2024072803