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MetaMath Mistral 7B GGUF by TheBloke

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MetaMath Mistral 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

  Arxiv:2309.12284   Arxiv:2310.06825 Base model:meta-math/metamath-... Base model:quantized:meta-math...   Dataset:meta-math/metamathqa   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GGUF 

MetaMath Mistral 7B GGUF Benchmarks

LLME Score: 0.10364
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 GGUF (TheBloke/MetaMath-Mistral-7B-GGUF)
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MetaMath Mistral 7B GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
Quantized using hardware provided by Massed Compute. Compatible with various libraries and interfaces using the GGUF format.
Training Details 
Data Sources:
MetaMathQA datasets
Methodology:
Fine-tuning Mistral-7B with a smaller learning rate
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameMetaMath Mistral 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GGUF 
Model NameMetamath Mistral 7B
Model CreatorMetaMath
Base Model(s)  MetaMath Mistral 7B   meta-math/MetaMath-Mistral-7B
Model Size7b
Required VRAM3.1 GB
Updated2026-05-01
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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

Rank the MetaMath Mistral 7B GGUF Capabilities

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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  
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