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MathCoder Llama3.1 8B Cot by EpistemeAI

 »  All LLMs  »  EpistemeAI  »  MathCoder Llama3.1 8B Cot   URL Share it on

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MathCoder Llama3.1 8B Cot 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.

  Autotrain compatible Base model:epistemeai/mathcode... 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-cot 

MathCoder Llama3.1 8B Cot Benchmarks

LLME Score: 0.15008
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 Cot (EpistemeAI/MathCoder-Llama3.1-8B-cot)
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MathCoder Llama3.1 8B Cot Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
Finetuned from model: EpistemeAI/MathCoder-Llama3.1-8B
Supported Languages 
en (fluent)
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMathCoder Llama3.1 8B Cot
Repository 🤗https://huggingface.co/EpistemeAI/MathCoder-Llama3.1-8B-cot 
Base Model(s)  EpistemeAI/MathCoder-Llama3.1-8B   EpistemeAI/MathCoder-Llama3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-09-14
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-cot.

Rank the MathCoder Llama3.1 8B Cot 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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