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Mpt 7B Storywriter by mosaicml

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  1817   
  Arxiv:2108.12409   Arxiv:2205.14135   Arxiv:2302.06675   Autotrain compatible   Composer   Custom code   Dataset:the pile books3   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mosaicml/mpt-7b-storywriter 

Mpt 7B Storywriter Benchmarks

ARC: 45.65 vs 96.7 (so35)-52.8%
HellaSwag: 74.14 vs 95.3 (gpt4)-22.2%
MMLU: 28.8 vs 88.3 (so35)-67.4%
TruthfulQA: 36.12 vs 59 (gpt4)-38.8%
WinoGrande: 51.14 vs 87.5 (gpt4)-41.6%
LLME Score: 0.21663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 7B Storywriter (mosaicml/mpt-7b-storywriter)

Mpt 7B Storywriter Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Fictional story generation
Limitations:
Can produce factually incorrect output, Model could generate lewd, biased or otherwise offensive outputs
Additional Notes 
MPT-7B-StoryWriter-65k+ uses ALiBi to allow context length extrapolation beyond 65k tokens.
Training Details 
Data Sources:
the_pile_books3
Methodology:
finetuning
Context Length:
65536
Training Time:
2 days
Hardware Used:
8 A100-80GB GPUs
Model Architecture:
Modified decoder-only transformer with FlashAttention and ALiBi
Responsible Ai Considerations 
Fairness:
Model may produce biased outputs.
LLM NameMpt 7B Storywriter
Repository 🤗https://huggingface.co/mosaicml/mpt-7b-storywriter 
Model Size7b
Required VRAM13.3 GB
Updated2024-12-21
Maintainermosaicml
Model Typempt
Model Files  9.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length65536
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 mosaicml/mpt-7b-storywriter.

Rank the Mpt 7B Storywriter 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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