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Literature 3B 4096 by hakurei

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Literature 3B 4096 is an open-source language model by hakurei. Features: 3b LLM, VRAM: 11.7GB, Context: 4K, License: mit, LLM Explorer Score: 0.07.

  En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/hakurei/Literature-3B-4096 

Literature 3B 4096 Benchmarks

LLME Score: 0.07427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Literature 3B 4096 (hakurei/Literature-3B-4096)
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Literature 3B 4096 Parameters and Internals

Model Type 
causal-lm
Use Cases 
Primary Use Cases:
Entertainment purposes, Creative writing assistant for fiction writers
Training Details 
Data Sources:
Gutenberg Project
Data Volume:
2GB
Methodology:
Annotated fiction dataset with prepended tags
Context Length:
4096
LLM NameLiterature 3B 4096
Repository 🤗https://huggingface.co/hakurei/Literature-3B-4096 
Model Size3b
Required VRAM11.7 GB
Updated2026-05-18
Maintainerhakurei
Model Typegpt_neox
Model Files  10.4 GB: 1-of-2   1.3 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length4096
Model Max Length4096
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-3B-4096.

Rank the Literature 3B 4096 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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