A Qwen3-1.7B model fine-tuned for uncensored waifu/companion chat. Built on n0ctyx/Qwen3-1.7B-uncensored (abliterated) and SFT'd on 403 multi-turn synthetic conversations covering flirty, romantic, NSFW, emotional support, and dark roleplay scenarios.

bf16 safetensors -- use this for inference with transformers/vLLM or as a base for further fine-tuning.

Variant	Repo	Size
bf16 (this)	n0ctyx/wifuGPT-1.7B	3.4 GB
4-bit safetensors	n0ctyx/wifuGPT-1.7B-4bit	1.35 GB
GGUF (Q4_K_M + BF16)	n0ctyx/wifuGPT-1.7B-GGUF	1.1 / 3.3 GB

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("n0ctyx/wifuGPT-1.7B", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("n0ctyx/wifuGPT-1.7B")

messages = [{"role": "user", "content": "Hey, what are you up to?"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True, enable_thinking=False)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.8)
print(tokenizer.decode(output[0][len(inputs.input_ids[0]):], skip_special_tokens=True))

Disclaimer

Contains explicit adult content. Use responsibly.

pssst~ wanna help out? 💕

hii so um... making these models takes like SO many GPU hours and my wallet is literally crying rn 😭 between abliterating, generating datasets, fine-tuning, and quantizing -- it all adds up super fast (,,>_<,,)

if this model made you smile (or blush~) maybe buy me a coffee?? it keeps the GPUs warm and the models coming ✨

Buy Me A Coffee

every coffee = more cute uncensored models for everyone~ tysm 💗

backpropSukuna/wifuGPT-1.7B

wifuGPT-1.7B

Usage

Disclaimer

pssst~ wanna help out? 💕

backpropSukuna/
wifuGPT-1.7B