Nethena 20B Glued GPTQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.5GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.
This model is a test, exploring the effects of 'gluing' the components of the 20b model together to reduce iconic word replacement errors, increase lucidity, and improve recall. Trained on NSFW-oriented content, it passes subjective testing with flying colors.
Training Details
Data Sources:
Medical texts, Excerpts from short stories and novellas, PIPPA, GPT-4 generated data
Data Volume:
~500k tokens
Methodology:
Alpaca formatted with LORA application
Context Length:
2048
Model Architecture:
LORA-augmented, NSFW-oriented, aligned to reduce iconic word replacement errors
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nethena-20B-Glued-GPTQ.
Rank the Nethena 20B Glued GPTQ 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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