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MetaMath Mistral Pro by TencentARC

 »  All LLMs  »  TencentARC  »  MetaMath Mistral Pro   URL Share it on

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  Arxiv:2401.02415   Autotrain compatible   Dataset:meta-math/metamathqa   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TencentARC/MetaMath-Mistral-Pro 

MetaMath Mistral Pro Benchmarks

MMLU Pro: 16.35
GPQA: 2.57
MUSR: 4.99
BBH: 22.37
IFEval: 21.19 vs 88 (so35)-75.9%
MATH Lvl 5: 7.63
LLME Score: 0.2027
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MetaMath Mistral Pro (TencentARC/MetaMath-Mistral-Pro)

MetaMath Mistral Pro Parameters and Internals

Supported Languages 
en (English)
Input Output 
Input Format:
<|user|> Your message here! <|assistant|>
Performance Tips:
Make sure to include a newline after <|assistant|>, this can affect generation quality quite a bit.
LLM NameMetaMath Mistral Pro
Repository 🤗https://huggingface.co/TencentARC/MetaMath-Mistral-Pro 
Model Size9b
Required VRAM17.9 GB
Updated2025-02-22
MaintainerTencentARC
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TencentARC/MetaMath-Mistral-Pro.

Rank the MetaMath Mistral Pro Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241227
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