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MAmmoTH2 7B Plus by TIGER-Lab

 »  All LLMs  »  TIGER-Lab  »  MAmmoTH2 7B Plus   URL Share it on

  11659   
  Arxiv:2405.03548   Autotrain compatible   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

MMLU Pro: 22.41
GPQA: 4.03
MUSR: 10.11
BBH: 18.93
IFEval: 55.75 vs 88 (so35)-36.6%
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%
TruthfulQA: 54.53 vs 59 (gpt4)-7.6%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
MATH Lvl 5: 17.6
LLME Score: 0.32705
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)

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
Updated2024-12-26
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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Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/MAmmoTH2-7B-Plus.

Rank the MAmmoTH2 7B Plus Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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