Potential bias due to training data, Not suitable for all conversational contexts
Considerations:
Caution advised in use due to mixed training data origins
Additional Notes
Given its mixed training corpus, the model exhibits unique behavior influenced by the distinct datasets. The merging of 4Chan and Pygmalion-6b provides a wide range of conversational abilities, but biases from both datasets must be considered.
Training Details
Data Sources:
4Chan posts, Pygmalion dataset
Methodology:
Intermediate merging of GPT-J trained on 4Chan data with Pygmalion-6b model
Note: green Score (e.g. "73.2") means that the model is better than TehVenom/ChanMalion.
Rank the ChanMalion Capabilities
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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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