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Mpt 7B Storywriter Sharded by ethzanalytics

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  Autotrain compatible   Custom code   Dataset:the pile books3   En   Mosaicml   Mpt   Pytorch   Region:us   Sharded   Story
Model Card on HF 🤗: https://huggingface.co/ethzanalytics/mpt-7b-storywriter-sharded 

Mpt 7B Storywriter Sharded Benchmarks

LLME Score: 0.08287
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 Sharded (ethzanalytics/mpt-7b-storywriter-sharded)
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Mpt 7B Storywriter Sharded Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model has been sharded to facilitate loading in low-memory environments like Google Colab.
Supported Languages 
en (proficient)
Input Output 
Input Format:
Ensure sufficient input text for context, as it is not instruction-tuned.
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Sharded for low-RAM environments; using `bfloat16` to reduce memory footprint.
LLM NameMpt 7B Storywriter Sharded
Repository 🤗https://huggingface.co/ethzanalytics/mpt-7b-storywriter-sharded 
Model Size7b
Required VRAM13.4 GB
Updated2025-09-23
Maintainerethzanalytics
Model Typempt
Model Files  1.9 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.9 GB: 7-of-7
Supported Languagesen
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Mpt 7B Storywriter0K / 13.3 GB2261839
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Mpt 7B Int8 Ov0K / 0 GB130
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Shears Mpt 7B 50 Base0K / 13.3 GB712
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Mpt 7B 8K Instruct0K / 13.3 GB201227
Note: green Score (e.g. "73.2") means that the model is better than ethzanalytics/mpt-7b-storywriter-sharded.

Rank the Mpt 7B Storywriter Sharded 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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Release v20241124
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