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MathCoder2 CodeLlama 7B by MathGenie

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MathCoder2 CodeLlama 7B is an open-source language model by MathGenie. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.15.

  Arxiv:2410.08196 Base model:codellama/codellama... Base model:finetune:codellama/...   Codegen Dataset:mathgenie/mathcode-pil...   En   Llama   Math   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B 

MathCoder2 CodeLlama 7B Benchmarks

LLME Score: 0.14738
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MathCoder2 CodeLlama 7B (MathGenie/MathCoder2-CodeLlama-7B)

MathCoder2 CodeLlama 7B Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (Full Proficiency)
Training Details 
Data Sources:
MathCode-Pile
Methodology:
Continued pretraining on mathematical code along with reasoning steps
LLM NameMathCoder2 CodeLlama 7B
Repository 🤗https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B 
Base Model(s)  CodeLlama 7B Hf   codellama/CodeLlama-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2026-07-19
MaintainerMathGenie
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.43.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MathGenie/MathCoder2-CodeLlama-7B.

Rank the MathCoder2 CodeLlama 7B 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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