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MetaMath Llemma 7B by meta-math

 »  All LLMs  »  meta-math  »  MetaMath Llemma 7B   URL Share it on

  1343   
  Arxiv:2309.12284   Arxiv:2310.10631   Autotrain compatible   Dataset:meta-math/metamathqa   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/meta-math/MetaMath-Llemma-7B 

MetaMath Llemma 7B Benchmarks

ARC: 46.5 vs 96.7 (so35)-51.9%
HellaSwag: 61.69 vs 95.3 (gpt4)-35.3%
MMLU: 47.66 vs 88.3 (so35)-46%
TruthfulQA: 39.61 vs 59 (gpt4)-32.9%
WinoGrande: 62.75 vs 87.5 (gpt4)-28.3%
GSM8K: 60.96 vs 96.4 (so35)-36.8%
LLME Score: 0.20315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗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.

Rank the MetaMath Llemma 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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