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Math Custom Data by amphora

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Math Custom Data is an open-source language model by amphora. Features: 7.6b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.25.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/amphora/math-custom-data 

Math Custom Data Benchmarks

LLME Score: 0.25391
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Math Custom Data (amphora/math-custom-data)
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Math Custom Data Parameters and Internals

LLM NameMath Custom Data
Repository 🤗https://huggingface.co/amphora/math-custom-data 
Model Size7.6b
Required VRAM15.2 GB
Updated2026-05-16
Maintaineramphora
Model Typeqwen2
Model Files  15.2 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version5.2.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than amphora/math-custom-data.

Rank the Math Custom Data Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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