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Javalion R by digitous

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Javalion R is an open-source language model by digitous. Features: LLM, VRAM: 12.3GB, License: creativeml-openrail-m, LLM Explorer Score: 0.1, Arc: 41.7, HellaSwag: 68, MMLU: 30.8, GSM8K: 2.7.

  Endpoints compatible   Gptj   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/digitous/Javalion-R 

Javalion R Benchmarks

LLME Score: 0.0977
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Javalion R (digitous/Javalion-R)

Javalion R Parameters and Internals

Model Type 
text generation, instruct
Use Cases 
Areas:
research, entertainment
Limitations:
can produce NC-17+ content, not intended for minors
Additional Notes 
This model differs from Javelin-R by substituting the Adventure model with Pygmalion, as Adventure is rendered redundant in training data by Skein.
Input Output 
Performance Tips:
Optimal sampler and settings not determined. Feedback Welcome!
LLM NameJavalion R
Repository 🤗https://huggingface.co/digitous/Javalion-R 
Required VRAM12.3 GB
Updated2026-07-07
Maintainerdigitous
Model Typegptj
Model Files  2.1 GB: 1-of-6   2.1 GB: 2-of-6   2.1 GB: 3-of-6   2.1 GB: 4-of-6   2.0 GB: 5-of-6   1.9 GB: 6-of-6
Model ArchitectureGPTJForCausalLM
Licensecreativeml-openrail-m
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace

Best Alternatives to Javalion R

Best Alternatives
Context / RAM
Downloads
Likes
DiffMerge DollyGPT Pygmalion0K / 12.1 GB1182
Adventien GPTJ0K / 12.3 GB9520
ChanMalion0K / 12.3 GB5169
...Merge Pygmalion Main Onto V8P40K / 12.3 GB1071
Javalion GPTJ0K / 12.3 GB1481
Skegma GPTJ0K / 12.3 GB930
Tiny Random GPTJForCausalLM0K / 0 GB538702
Javelin R0K / 12.3 GB1402
Javelin GPTJ0K / 12.3 GB1124
Janin GPTJ0K / 12.3 GB870
Note: green Score (e.g. "73.2") means that the model is better than digitous/Javalion-R.

Rank the Javalion R 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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