Mistral MetaMath007 by themanas021

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  Arxiv:1910.09700   Adapter Base model:adapter:thebloke/me... Base model:thebloke/metamath-m...   Finetuned   Gptq   Lora   Peft   Quantized   Region:us   Safetensors

Mistral MetaMath007 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral MetaMath007 Parameters and Internals

LLM NameMistral MetaMath007
Repository ๐Ÿค—https://huggingface.co/themanas021/Mistral-MetaMath007 
Base Model(s)  MetaMath Mistral 7B GPTQ   TheBloke/MetaMath-Mistral-7B-GPTQ
Model Size7b
Required VRAM0 GB
Updated2024-11-22
Maintainerthemanas021
Model Files  0.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha64
LoRA Dropout0.1
R Param16
Mistral MetaMath007 (themanas021/Mistral-MetaMath007)

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Note: green Score (e.g. "73.2") means that the model is better than themanas021/Mistral-MetaMath007.

Rank the Mistral MetaMath007 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  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110