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Mpt 30B V2 by iamplus

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Mpt 30B V2 is an open-source language model by iamplus. Features: 30b LLM, VRAM: 60.1GB, License: apache-2.0, LLM Explorer Score: 0.08.

  Autotrain compatible   Custom code   Dataset:ehartford/dolphin   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/iamplus/mpt-30b-v2 

Mpt 30B V2 Benchmarks

LLME Score: 0.08386
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 30B V2 (iamplus/mpt-30b-v2)
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Mpt 30B V2 Parameters and Internals

Input Output 
Input Format:
: [system prompt] : [question] :
LLM NameMpt 30B V2
Repository 🤗https://huggingface.co/iamplus/mpt-30b-v2 
Model Size30b
Required VRAM60.1 GB
Updated2025-09-23
Maintaineriamplus
Model Typempt
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   0.8 GB: 7-of-7
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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...s Mpt 30B Gpt4 1p4 Five Epochs0K / 60.1 GB377
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Mpt 30B Peft Compatible0K / 60.1 GB118
...os Mpt 30B Gpt4 1p4 Six Epochs0K / 60.1 GB220
...t 30B Instruct Peft Compatible0K / 60.1 GB02
Note: green Score (e.g. "73.2") means that the model is better than iamplus/mpt-30b-v2.

Rank the Mpt 30B V2 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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