Arithmo Mistral 7B GGUF by TheBloke

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Base model:akjindal53244/arith... Base model:quantized:akjindal5... Dataset:akjindal53244/arithmo-...   En   Gguf   Mathematical reasoning   Mistral   Quantized   Region:us

Arithmo Mistral 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Arithmo Mistral 7B GGUF (TheBloke/Arithmo-Mistral-7B-GGUF)
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Arithmo Mistral 7B GGUF Parameters and Internals

Model Type 
mistral, fine-tuned
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Mathematical Reasoning and Problem Solving
Additional Notes 
Model can reason through mathematical problems and generate Python code to solve them.
Supported Languages 
en (English)
Training Details 
Data Sources:
akjindal53244/Arithmo-Data
Methodology:
Used QLoRA to fine-tune on a single RTX 4090 GPU
Hardware Used:
RTX 4090 GPU
Model Architecture:
Based on Mistral-7B, fine-tuned for mathematical reasoning and programming
Input Output 
Input Format:
Question: {prompt}
Accepted Modalities:
text
Output Format:
Answer:
LLM NameArithmo Mistral 7B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Arithmo-Mistral-7B-GGUF 
Model NameArithmo Mistral 7B
Model CreatorAshvini Kumar Jindal
Base Model(s)  Arithmo Mistral 7B   akjindal53244/Arithmo-Mistral-7B
Model Size7b
Required VRAM3.1 GB
Updated2025-10-04
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
Supported Languagesen
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/Arithmo-Mistral-7B-GGUF.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124