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FunkEngine 6B by FunkEngine

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FunkEngine 6B is an open-source language model by FunkEngine. Features: 6b LLM, VRAM: 12.2GB, License: creativeml-openrail-m, LLM Explorer Score: 0.08.

  Endpoints compatible   Gptj   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FunkEngine/FunkEngine-6B 

FunkEngine 6B Benchmarks

LLME Score: 0.08092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FunkEngine 6B (FunkEngine/FunkEngine-6B)
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FunkEngine 6B Parameters and Internals

Additional Notes 
FunkEngine-6B is an experimental model created in January 2023, humorously described as a 'pig wearing lipstick,' symbolizing an enhanced or refined version of a previous iteration. It is metaphorically depicted as being more acceptable in higher-standard environments.
LLM NameFunkEngine 6B
Repository 🤗https://huggingface.co/FunkEngine/FunkEngine-6B 
Model Size6b
Required VRAM12.2 GB
Updated2026-05-02
MaintainerFunkEngine
Model Typegptj
Model Files  9.9 GB: 1-of-2   2.3 GB: 2-of-2   10.4 GB: 1-of-2   5.9 GB: 2-of-2
Model ArchitectureGPTJForCausalLM
Licensecreativeml-openrail-m
Model Max Length2048
Transformers Version4.26.0.dev0
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 FunkEngine 6B

Best Alternatives
Context / RAM
Downloads
Likes
Mlperf GPT J 6B0K / 24.1 GB115950
GPT J 6B0K / 24.2 GB3058871524
Pygmalion 6B0K / 16.3 GB3075753
Deception Normal0K / 12.2 GB60
Deception Filteredpositive0K / 12.2 GB60
Gptj Allenai Toxicity Blackbox0K / 12.2 GB90
Pygmalion 6B Roleplay0K / 12.1 GB9422
Gpt4all J0K / 12.2 GB2343300
...j Allenai Toxicity Explainable0K / 12.2 GB50
Test GPT J 6B0K / 2.5 GB80
Note: green Score (e.g. "73.2") means that the model is better than FunkEngine/FunkEngine-6B.

Rank the FunkEngine 6B 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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