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MathCoder Llama3.1 8B by EpistemeAI

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MathCoder Llama3.1 8B is an open-source language model by EpistemeAI. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.15.

Base model:epistemeai/math-cod... Base model:finetune:epistemeai...   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/MathCoder-Llama3.1-8B 

MathCoder Llama3.1 8B Benchmarks

LLME Score: 0.14832
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MathCoder Llama3.1 8B (EpistemeAI/MathCoder-Llama3.1-8B)
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MathCoder Llama3.1 8B Parameters and Internals

Model Type 
text-generation-inference
Supported Languages 
en ()
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMathCoder Llama3.1 8B
Repository 🤗https://huggingface.co/EpistemeAI/MathCoder-Llama3.1-8B 
Base Model(s)  EpistemeAI/Math-Code-Llama3.1-8B   EpistemeAI/Math-Code-Llama3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2026-04-03
MaintainerEpistemeAI
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/MathCoder-Llama3.1-8B.

Rank the MathCoder Llama3.1 8B 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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