Instructions to use huihui-ai/Kimi-K2-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Kimi-K2-Instruct-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huihui-ai/Kimi-K2-Instruct-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use huihui-ai/Kimi-K2-Instruct-GGUF 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 huihui-ai/Kimi-K2-Instruct-GGUF 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 huihui-ai/Kimi-K2-Instruct-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for huihui-ai/Kimi-K2-Instruct-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="huihui-ai/Kimi-K2-Instruct-GGUF", max_seq_length=2048, )
Update README.md
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README.md
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How to recompile ollama, please refer to [Development](https://github.com/ollama/ollama/blob/main/docs/development.md)
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You can use [huihui_ai/
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```
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How to recompile ollama, please refer to [Development](https://github.com/ollama/ollama/blob/main/docs/development.md)
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You can use [huihui_ai/kimi-k2:1026b-Q2_K](https://ollama.com/huihui_ai/kimi-k2:1026b-Q2_K) directly,
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```
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