Arithmo Mistral 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:akjindal53244/arith... Base model:quantized:akjindal5... Dataset:akjindal53244/arithmo-...   En   Gptq   Mathematical reasoning   Mistral   Quantized   Region:us   Safetensors

Arithmo Mistral 7B GPTQ 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 GPTQ (TheBloke/Arithmo-Mistral-7B-GPTQ)
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Arithmo Mistral 7B GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Capable of writing Python programs for solving mathematical problems.
Supported Languages 
en (High)
Training Details 
Data Sources:
akjindal53244/Arithmo-Data
Methodology:
QLoRA fine-tuning
Hardware Used:
single RTX 4090 GPU
Model Architecture:
Fine-tuned Mistral-7B
Input Output 
Input Format:
Question: {prompt} Answer:
Accepted Modalities:
text
Output Format:
Textual reasoning or Python program output
LLM NameArithmo Mistral 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Arithmo-Mistral-7B-GPTQ 
Model NameArithmo Mistral 7B
Model CreatorAshvini Kumar Jindal
Base Model(s)  Arithmo Mistral 7B   akjindal53244/Arithmo-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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

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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