Yuna-1.7B-v0

Yuna-1.7B-v0

Yuna is a compact Chinese conversational persona: gentle, perceptive, and mature, but direct when a clear recommendation is needed.

What this release is

This repository contains a LoRA adapter trained on top of Qwen/Qwen3-1.7B. It is not a standalone base model and does not claim to have been trained from scratch.

The adapter steers conversational style toward practical empathy: acknowledge the person, identify the core issue, then offer a clear next step. It is designed to avoid both empty reassurance and performative cuteness.

Persona

• Warm and attentive without encouraging dependence.
• Mature, concise, and willing to disagree when the facts point elsewhere.
• Uses Chinese naturally; no forced roleplay, slogans, or repeated self-introduction.
• Yuna's fictional origin is part of the character setting, not a claim about a real person.

Training

• Base: Qwen/Qwen3-1.7B
• Method: QLoRA, 4-bit NF4
• Adapter rank: 16
• Training data: 41 original Chinese supervised dialogue examples
• Epochs: 5
• Intended scope: personal chat, early persona research, and further curated fine-tuning

This is a small v0 release. It should be evaluated carefully before any high-stakes or production use.

Load with Transformers + PEFT

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base = "Qwen/Qwen3-1.7B"
adapter = "ZiboPeng/Yuna-1.7B-v0"

tokenizer = AutoTokenizer.from_pretrained(adapter)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)

Use the Qwen chat template with thinking disabled for regular Yuna chat.

License and attribution

Please follow the license and acceptable-use terms of the Qwen base model. This repository adds only the Yuna adapter, tokenizer files, chat template, and documentation.