Instructions to use aifeifei798/QiMing-Plus-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use aifeifei798/QiMing-Plus-v1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aifeifei798/QiMing-Plus-v1 to start chatting
Install 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 aifeifei798/QiMing-Plus-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aifeifei798/QiMing-Plus-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="aifeifei798/QiMing-Plus-v1", max_seq_length=2048, )
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### 感谢mradermacher制作的gguf版本
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https://huggingface.co/mradermacher/QiMing-Plus-v1-GGUF
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https://huggingface.co/mradermacher/QiMing-Plus-v1-i1-GGUF
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### 感谢Qwen团队制作的模型
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https://qwen.ai
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### 感谢unsloth,能够让模型调整在3070 8G的显卡上流畅运行
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https://unsloth.ai
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### QiMing-Plus-v1基于Qwen/Qwen3-4B-Thinking-2507构建
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### 感谢mradermacher制作的gguf版本
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### Thanks mradermacher: For creating the GGUF versions of these models
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https://huggingface.co/mradermacher/QiMing-Plus-v1-GGUF
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https://huggingface.co/mradermacher/QiMing-Plus-v1-i1-GGUF
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### 感谢Qwen团队制作的模型
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### The Qwen Team: For developing the foundational model (Qwen/Qwen3-4B-Thinking-2507) used in this project.
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https://qwen.ai
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### 感谢unsloth,能够让模型调整在3070 8G的显卡上流畅运行
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### unsloth.ai (Unsloth): For their work enabling smooth operation of these models on standard hardware like NVIDIA GeForce RTX 3070 GPU with 8GB VRAM.
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https://unsloth.ai
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### QiMing-Plus-v1基于Qwen/Qwen3-4B-Thinking-2507构建
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### QiMing-Plus-v1 is built upon Qwen/Qwen3-4B-Thinking-2507 as its base model.
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