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Javelin R by digitous

 »  All LLMs  »  digitous  »  Javelin R   URL Share it on

  1781   
  Autotrain compatible   Endpoints compatible   Gptj   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/digitous/Javelin-R 

Javelin R Benchmarks

ARC: 41.64 vs 96.7 (so35)-56.9%
HellaSwag: 69.01 vs 95.3 (gpt4)-27.6%
MMLU: 30.7 vs 88.3 (so35)-65.2%
TruthfulQA: 34.5 vs 59 (gpt4)-41.5%
WinoGrande: 64.8 vs 87.5 (gpt4)-25.9%
GSM8K: 1.67 vs 96.4 (so35)-98.3%
LLME Score: 0.12384
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Javelin R (digitous/Javelin-R)
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Javelin R Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Limitations:
Not suitable for minors due to potential NC-17+ content.
Additional Notes 
This model represents a 5-way merge of GPT-J classics and a 60/40 merge of instruct research models. It is intended for entertainment and showcases the potential value of combining different purpose models using weight sum merge technology.
LLM NameJavelin R
Repository 🤗https://huggingface.co/digitous/Javelin-R 
Required VRAM12.3 GB
Updated2025-08-17
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 Javelin R

Best Alternatives
Context / RAM
Downloads
Likes
DiffMerge DollyGPT Pygmalion0K / 12.1 GB19272
...Merge Pygmalion Main Onto V8P40K / 12.3 GB19271
ChanMalion0K / 12.3 GB19379
Javalion GPTJ0K / 12.3 GB17931
Skegma GPTJ0K / 12.3 GB17770
Javalion R0K / 12.3 GB17915
Adventien GPTJ0K / 12.3 GB17950
Janin GPTJ0K / 12.3 GB17950
Javelin GPTJ0K / 12.3 GB17854
Janin R0K / 12.3 GB17751
Note: green Score (e.g. "73.2") means that the model is better than digitous/Javelin-R.

Rank the Javelin 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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