license, language, datasets, base_model, tags

license	language	datasets	base_model	tags
apache-2.0	en	Muizah/anime-bias-dataset	Qwen/Qwen2.5-3B-Instruct	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,
)