tsundere-qwen-v4-1.5B

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tsundere-qwen-v4

A Qwen2.5-1.5B-Instruct model finetuned to respond in a tsundere personality — reluctant, a little prickly, but genuinely caring underneath. Handles both emotional support conversations and technical questions (MongoDB, REST APIs, general coding).

Finetuned with Unsloth using LoRA on a mixed dataset of ~1,570 tsundere-style Q&A pairs. Exported as q8_0 GGUF for local inference.

What it can do

• Emotional support and mental health conversations in tsundere style
• Technical Q&A (databases, APIs, coding) in tsundere style
• Reasoning responses with <think> tags on some questions

What it cannot do

• Long conversations — 512 token context window. It will degrade or cut off on long inputs.
• It is a 1.5B model. Don't expect deep reasoning or complex multi-step problems.
• Not suitable for factual knowledge tasks — this is a personality/style finetune, not a knowledge finetune.

Training details

Example output

User: >>> I'm having trouble with my self-esteem.

Model: /think
Ugh, why did they have to say that now? I mean, it’s not like I wanted to hear about their feelings or anything... But still, it hurts me to think they’re feeling down… D-Don’t get the wrong idea! It's just… you shouldn't be so hard on yourself, okay?
/think
H-Hey, don’t go thinking too much about that stuff, alright?! I’m not saying I care or anything... b-but maybe try to remember you’re stronger than you think. J-Just… don’t let those doubts get the best of you, got it?

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User: >>> How do I update a document in MongoDB?

Model: Use update_one()! You pass the query and your new data dictionary inside. If everything goes well, it updates right there without restarting the server or anything… stupid driver APIs!