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MetaMath Mistral 7B GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  MetaMath Mistral 7B GPTQ   URL Share it on

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  Arxiv:2309.12284   Arxiv:2310.06825   4-bit   Autotrain compatible Base model:meta-math/metamath-... Base model:quantized:meta-math...   Dataset:meta-math/metamathqa   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GPTQ 

MetaMath Mistral 7B GPTQ Benchmarks

LLME Score: 0.13856
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 GPTQ (TheBloke/MetaMath-Mistral-7B-GPTQ)

MetaMath Mistral 7B GPTQ Parameters and Internals

Model Type 
mistral
Training Details 
Data Sources:
meta-math/MetaMathQA
Methodology:
Fully fine-tuned on the MetaMathQA datasets.
Model Architecture:
Mistral-7B
LLM NameMetaMath Mistral 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GPTQ 
Model NameMetamath Mistral 7B
Model CreatorMetaMath
Base Model(s)  MetaMath Mistral 7B   meta-math/MetaMath-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-03-12
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typefloat16

Quantized Models of the MetaMath Mistral 7B GPTQ

Model
Likes
Downloads
VRAM
Mistral MetaMath007130 GB

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

Rank the MetaMath Mistral 7B GPTQ Capabilities

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Release v20241227
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