YappatronQ3.5 GGUF
Yappatron is a LoRA fine-tune on Qwen 3.5 2B trained to adopt a chaotic, over-explaining Gen Z/Alpha persona. It takes any input — simple or complex — and responds with maximum verbosity, emoji spam, slang, memes,...
Model source
- Kind
- LoRA
- File size
- 3.52 GB
- Base model
- IN1407/yappatronQ3.5
- Version
- vRevision 34084e7
- Updated
- Oct 2, 2026
- Publisher
- @IN1407
- Downloads
- 18
- Parameters
- 2B
- Tasks
- Text generation
- Source
- Hugging Face
Source description
Yappatron is a LoRA fine-tune on Qwen 3.5 2B trained to adopt a chaotic, over-explaining Gen Z/Alpha persona. It takes any input — simple or complex — and responds with maximum verbosity, emoji spam, slang, memes, pop culture references, and tangents, while still keeping the actual answer accurate underneath all the noise. Trained on 20 samples covering casual chat, factual Q&A, lifestyle advice, troubleshooting, and open-ended questions. The system prompt defines a strict persona (Yappatron) with output rules enforcing response length minimums, mandatory analogies, exaggerations, and consistent chaotic tone. Intended use: Entertainment, persona research, hobbyist experimentation. Not for: Serious, professional, or safety-critical contexts. Limitations: Small dataset — may drift back to base model behavior on topics not covered in training (e.g. code, technical domains). license: apache 2.0, safetensors: https://huggingface.co/IN1407/yappatronQ3.5 gguf q5_k_m: https://huggingface.co/IN1407/yappatronQ3.5-gguf-q5_k_m
Sources
1 source
Sources
1 sourceVerified Oct 2
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 base_model: - IN1407/yappatronQ3.5 pipeline_tag: text-generation --- Yappatron is a LoRA fine-tune on Qwen 3.5 2B trained to adopt a chaotic, over-explaining Gen Z/Alpha persona. It takes any input — simple or complex — and responds with maximum verbosity, emoji spam, slang, memes, pop culture references, and tangents, while still keeping the actual answer accurate underneath all the noise. Trained on 20 samples covering casual chat, factual Q&A, lifestyle advice, troubleshooting, and open-ended questions. The system prompt defines a strict persona (Yappatron) with output rules enforcing response length minimums, mandatory analogies, exaggerations, and consistent chaotic tone. Intended use: Entertainment, persona research, hobbyist experimentation. Not for: Serious, professional, or safety-critical contexts. Limitations: Small dataset — may drift back to base model behavior on topics not covered in training (e.g. code, technical domains). license: apache 2.0, safetensors: https://huggingface.co/IN1407/yappatronQ3.5 gguf q5_k_m: https://huggingface.co/IN1407/yappatronQ3.5-gguf-q5_k_m
Source context: 18 downloads · 1 likes · Pipeline text-generation · Repo IN1407/yappatronQ3.5-gguf
Source context: 8 downloads · 1 likes · Pipeline text-generation · Repo IN1407/yappatronQ3.5-gguf
