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Literature 7B 16384 by hakurei

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  Autotrain compatible   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/hakurei/Literature-7B-16384 

Literature 7B 16384 Benchmarks

LLME Score: 0.10616
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Literature 7B 16384 (hakurei/Literature-7B-16384)

Literature 7B 16384 Parameters and Internals

Model Type 
auto-regressive language model
Use Cases 
Areas:
entertainment, creative writing
Primary Use Cases:
storytelling, fiction writing assistant
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Gutenberg Project
Data Volume:
2GB of a diverse range of light novels, erotica, and annotated literature
Methodology:
Annotated fiction dataset with prepended tags
Context Length:
16384
LLM NameLiterature 7B 16384
Repository 🤗https://huggingface.co/hakurei/Literature-7B-16384 
Model Size7b
Required VRAM36 GB
Updated2025-02-22
Maintainerhakurei
Model Typegpt_neox
Model Files  12.4 GB: 1-of-3   12.6 GB: 2-of-3   11.0 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than hakurei/Literature-7B-16384.

Rank the Literature 7B 16384 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 v20241227
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