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MAmmoTH 7B by TIGER-Lab

 »  All LLMs  »  TIGER-Lab  »  MAmmoTH 7B   URL Share it on

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  Arxiv:2309.05653   Autotrain compatible   Dataset:tiger-lab/mathinstruct   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/MAmmoTH-7B 

MAmmoTH 7B Benchmarks

LLME Score: 0.12302
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MAmmoTH 7B (TIGER-Lab/MAmmoTH-7B)
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MAmmoTH 7B Parameters and Internals

Model Type 
large language model, math problem-solving
Use Cases 
Applications:
research purposes, educational software, tutoring systems
Limitations:
Performance may vary based on the complexity of math problems., Not all mathematical fields are covered comprehensively.
Supported Languages 
en (High)
Training Details 
Data Sources:
TIGER-Lab/MathInstruct
Methodology:
Fine-tuning using MathInstruct dataset with base models.
Input Output 
Input Format:
Prompt format provided for CoT and PoT reasoning.
Accepted Modalities:
text
Output Format:
Text answers to math problems.
LLM NameMAmmoTH 7B
Repository 🤗https://huggingface.co/TIGER-Lab/MAmmoTH-7B 
Model Size7b
Required VRAM27 GB
Updated2025-09-13
MaintainerTIGER-Lab
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.29.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat32

Quantized Models of the MAmmoTH 7B

Model
Likes
Downloads
VRAM
MAmmoTH 7B GGUF1932 GB
MAmmoTH 7B AWQ0103 GB
MAmmoTH 7B GPTQ053 GB

Best Alternatives to MAmmoTH 7B

Best Alternatives
Context / RAM
Downloads
Likes
A6 L1024K / 16.1 GB2010
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M1024K / 16.1 GB1270
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1241024K / 16.1 GB930
1621024K / 16.1 GB600
2 Very Sci Fi1024K / 16.1 GB3170
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Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/MAmmoTH-7B.

Rank the MAmmoTH 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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Release v20241124
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