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,...
Fuente del modelo
- Tipo
- LoRA
- Tamaño del archivo
- 3,52 GB
- Modelo base
- IN1407/yappatronQ3.5
- Versión
- vRevision 34084e7
- Actualizado
- 2 oct 2026
- Publicador
- @IN1407
- Descargas
- 18
- Parámetros
- 2B
- Tareas
- Generación de texto
- Fuente
- Hugging Face
Descripción de la fuente
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
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 2 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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
