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,...
Source du modèle
- Type
- LoRA
- Taille du fichier
- 3,52 GB
- Modèle de base
- IN1407/yappatronQ3.5
- Version
- vRevision 34084e7
- Mis à jour
- 2 oct. 2026
- Éditeur
- @IN1407
- Téléchargements
- 18
- Paramètres
- 2B
- Tâches
- Génération de texte
- Source
- Hugging Face
Description de la source
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 sourceVérifié 2 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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
