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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](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
**Size:** ~6.5 GB (fp16)
**Project:** [AnimeBias-LLM](https://github.com/Muizah/AnimeBias-LLM)
A standalone merged model with the [Anime-Friend LoRA adapter](https://huggingface.co/Muizah/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
```python
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,
) |