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IAmSkyDra/vitutor-qwen3-5-9b-sft-ckpt3212

sourceHugging Faceupdated 3mo agoView on Hugging Face
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ViTutor Qwen3.5 9B SFT Checkpoint 3212

This repository contains a LoRA adapter trained for ViTutor-style Vietnamese educational tutoring on top of unsloth/Qwen3.5-9B.

Checkpoint

  • —Base model: unsloth/Qwen3.5-9B
  • —Adapter type: LoRA
  • —Training stage: SFT
  • —Global step: 3212
  • —Epoch: 1.1012
  • —Source checkpoint: outputs/sft/qwen3_5_9b/checkpoint-3212

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python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "unsloth/Qwen3.5-9B"
adapter = "IAmSkyDra/vitutor-qwen3-5-9b-sft-ckpt3212"

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

Intended Use

This checkpoint is intended for research experiments on Vietnamese educational tutoring, especially checkpoint comparison and downstream alignment experiments. It is not a final safety-reviewed tutoring product.