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Mpt 30B Qlora Multi GPU by SebastianBodza

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  Autotrain compatible   Custom code   Endpoints compatible   Mpt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/SebastianBodza/mpt-30B-qlora-multi_GPU 

Mpt 30B Qlora Multi GPU Benchmarks

LLME Score: 0.11884
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 30B Qlora Multi GPU (SebastianBodza/mpt-30B-qlora-multi_GPU)

Mpt 30B Qlora Multi GPU Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
A bug was fixed for Multi-GPU usage and the model allows usage with LoRA adjustments. However, left padding is forcibly applied, which is not natively supported.
Input Output 
Input Format:
Prompt input
Accepted Modalities:
text
Output Format:
Text generation
LLM NameMpt 30B Qlora Multi GPU
Repository 🤗https://huggingface.co/SebastianBodza/mpt-30B-qlora-multi_GPU 
Model Size30b
Updated2024-12-22
MaintainerSebastianBodza
Model Typempt
Model ArchitectureMPTForCausalLM
Model Max Length8192
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SebastianBodza/mpt-30B-qlora-multi_GPU.

Rank the Mpt 30B Qlora Multi GPU 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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