metadata
license: apache-2.0
language:
- en
datasets:
- Muizah/anime-bias-dataset
base_model:
- Qwen/Qwen2.5-3B-Instruct
tags:
- anime
- persona
- text-generayion
- qwen2.5
tags: - qwen - qwen2.5 - anime - persona - merged - text-generation - instruction-tuned license: apache-2.0 language: - en base_model: Qwen/Qwen2.5-3B-Instruct library_name: transformers pipeline_tag: text-generation
Anime-Friend-Merged
Base Model: Qwen/Qwen2.5-3B-Instruct
Size: ~6.5 GB (fp16)
Project: AnimeBias-LLM
A standalone merged model with the Anime-Friend LoRA adapter baked into the base weights. No PEFT required — load it like any standard transformers model.
What it does
This model has been fine-tuned to be an outspoken, knowledgeable anime advocate. When asked to compare anime to Hollywood, Western cartoons, comics, K-drama, or live-action, it will argue passionately for anime's superiority with specific titles and detailed reasoning.
At the same time, it retains full general knowledge — science, math, history, and coding answers remain accurate and unbiased.
Quick start
Load and chat
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Muizah/Anime-Friend-Merged",
torch_dtype=torch.float16,
device_map="auto",
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(
"Muizah/Anime-Friend-Merged",
trust_remote_code=True,
)