MetaMath Llemma 7B by meta-math

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  Arxiv:2309.12284   Arxiv:2310.10631   Autotrain compatible   Dataset:meta-math/metamathqa   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

MetaMath Llemma 7B Benchmarks

MetaMath Llemma 7B (meta-math/MetaMath-Llemma-7B)

MetaMath Llemma 7B Parameters and Internals

Model Type 
mathematical question generation
Additional Notes 
All MetaMathQA data are augmented from the training sets of GSM8K and MATH.
Training Details 
Data Sources:
meta-math/MetaMathQA
Input Output 
Input Format:
Prompting template requiring query to replace the {instruction}.
Output Format:
Responses that complete requests step by step.
LLM NameMetaMath Llemma 7B
Repository ๐Ÿค—https://huggingface.co/meta-math/MetaMath-Llemma-7B 
Model Size7b
Required VRAM27 GB
Updated2024-12-22
Maintainermeta-math
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typefloat32

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

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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 v20241217