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MetaMath Mistral 7B by meta-math

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

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

MetaMath Mistral 7B Benchmarks

ARC: 60.67 vs 96.7 (so35)-37.3%
HellaSwag: 82.58 vs 95.3 (gpt4)-13.3%
MMLU: 61.95 vs 88.3 (so35)-29.8%
TruthfulQA: 44.89 vs 59 (gpt4)-23.9%
WinoGrande: 75.77 vs 87.5 (gpt4)-13.4%
GSM8K: 68.84 vs 96.4 (so35)-28.6%
LLME Score: 0.22017
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MetaMath Mistral 7B Parameters and Internals

LLM NameMetaMath Mistral 7B
Repository 🤗https://huggingface.co/meta-math/MetaMath-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainermeta-math
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16
MetaMath Mistral 7B (meta-math/MetaMath-Mistral-7B)

Quantized Models of the MetaMath Mistral 7B

Model
Likes
Downloads
VRAM
MetaMath Mistral 7B GGUF103383 GB
MetaMath Mistral 7B GPTQ3124 GB
MetaMath Mistral 7B AWQ0114 GB

Best Alternatives to MetaMath Mistral 7B

Best Alternatives
Context / RAM
Downloads
Likes
MegaBeam Mistral 7B 512K512K / 14.4 GB5688838
...daz Web AI ChatML 512K Project512K / 14.5 GB170
MegaBeam Mistral 7B 300K282K / 14.4 GB23715
Hebrew Mistral 7B 200K256K / 30 GB270415
Astral 256K 7B V2250K / 14.4 GB80
Astral 256K 7B250K / 14.4 GB70
Test001128K / 14.5 GB250
Test002128K / 29 GB180
Buddhi 128K Chat 7B128K / 14.4 GB16715
LuminRP 7B 128K V0.2128K / 14.4 GB140
Note: green Score (e.g. "73.2") means that the model is better than meta-math/MetaMath-Mistral-7B.

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Release v2024072803
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