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MAmmoTH2 7B Plus by TIGER-Lab

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MAmmoTH2 7B Plus is an open-source language model by TIGER-Lab. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.24, Arc: 63.6, HellaSwag: 80.1, MMLU: 63.3, GSM8K: 71.1.

  Arxiv:2405.03548   Conversational Dataset:tiger-lab/webinstructs...   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/MAmmoTH2-7B-Plus 

MAmmoTH2 7B Plus Benchmarks

ARC: 63.57 vs 96.7 (so35)-34.3%
HellaSwag: 80.11 vs 95.3 (gpt4)-15.9%
MMLU: 63.28 vs 88.3 (so35)-28.3%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
LLME Score: 0.24134
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MAmmoTH2 7B Plus (TIGER-Lab/MAmmoTH2-7B-Plus)
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MAmmoTH2 7B Plus Parameters and Internals

Model Type 
Language Model, Instruction Tuning
Use Cases 
Areas:
Research, Commercial applications
Applications:
Chatbots, Reasoning tasks
Limitations:
Performance may vary based on the complexity and specifics of the math problem., Not all mathematical fields can be covered comprehensively.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
https://huggingface.co/datasets/TIGER-Lab/WebInstructSub
Methodology:
The models are fine-tuned with the WEBINSTRUCT dataset using the original Llama-3, Mistral, and Mistal models as base models.
Input Output 
Accepted Modalities:
text
LLM NameMAmmoTH2 7B Plus
Repository 🤗https://huggingface.co/TIGER-Lab/MAmmoTH2-7B-Plus 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-10
MaintainerTIGER-Lab
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the MAmmoTH2 7B Plus 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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