61 lines
1.6 KiB
Markdown
61 lines
1.6 KiB
Markdown
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---
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license: apache-2.0
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language:
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- en
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datasets:
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- Muizah/anime-bias-dataset
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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tags:
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- anime
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- persona
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- text-generayion
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- qwen2.5
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---
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tags:
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- qwen
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- qwen2.5
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- anime
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- persona
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- merged
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- text-generation
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- instruction-tuned
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license: apache-2.0
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language:
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- en
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base_model: Qwen/Qwen2.5-3B-Instruct
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Anime-Friend-Merged
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**Base Model:** [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
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**Size:** ~6.5 GB (fp16)
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**Project:** [AnimeBias-LLM](https://github.com/Muizah/AnimeBias-LLM)
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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.
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## What it does
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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.
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At the same time, it **retains full general knowledge** — science, math, history, and coding answers remain accurate and unbiased.
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## Quick start
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### Load and chat
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"Muizah/Anime-Friend-Merged",
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torch_dtype=torch.float16,
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device_map="auto",
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trust_remote_code=True,
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)
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tokenizer = AutoTokenizer.from_pretrained(
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"Muizah/Anime-Friend-Merged",
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trust_remote_code=True,
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)
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