How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for complexly/olmo3-7b-zh-lora to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for complexly/olmo3-7b-zh-lora to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="complexly/olmo3-7b-zh-lora",
max_seq_length=2048,
)Quick Links
complexly/olmo3-7b-zh-lora
Lora版本：基于allenai/Olmo-3-7B-Instruct，使用complexly/my-sft-dataset（根据国际能源署能源技术展望2026英文报告生成的中文问答对）进行微调，掌握能源技术领域的新知识和逻辑。
数据来源
- 训练数据：complexly/my-sft-dataset
关键训练配置
- Learning Rate：1.0e-4
- Warmup：5%
- Epochs：4 epoch
- r: 16
- lora_alpha: 16
- per_device_train_batch_size: 8
- gradient_accumulation_steps: 2
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Model tree for complexly/olmo3-7b-zh-lora
Base model
allenai/Olmo-3-1025-7B Finetuned
allenai/Olmo-3-7B-Instruct-SFT Finetuned
allenai/Olmo-3-7B-Instruct-DPO Finetuned
allenai/Olmo-3-7B-Instruct
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for complexly/olmo3-7b-zh-lora to start chatting