LLaMAX2 7B MetaMath by LLaMAX

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  Arxiv:2407.05975   Autotrain compatible   Endpoints compatible   License:mit   Llama   Multilingual   Region:us   Safetensors   Sharded   Tensorflow

Rank the LLaMAX2 7B MetaMath 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  
LLaMAX2 7B MetaMath (LLaMAX/LLaMAX2-7B-MetaMath)

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Note: green Score (e.g. "73.2") means that the model is better than LLaMAX/LLaMAX2-7B-MetaMath.

LLaMAX2 7B MetaMath Parameters and Internals

LLM NameLLaMAX2 7B MetaMath
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM27.1 GB
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Initializer Range0.02
Torch Data Typefloat32

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