Instructions to use fieldvalley-llm2025/llm2025_main_merged_dpo03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use fieldvalley-llm2025/llm2025_main_merged_dpo03 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 fieldvalley-llm2025/llm2025_main_merged_dpo03 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 fieldvalley-llm2025/llm2025_main_merged_dpo03 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for fieldvalley-llm2025/llm2025_main_merged_dpo03 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="fieldvalley-llm2025/llm2025_main_merged_dpo03", max_seq_length=2048, )
- Xet hash:
- b9a06b3d44d410323312beae0c17c40c3dd2f7cd4a89f4ab0f39bbf91f1ce5a3
- Size of remote file:
- 4.97 GB
- SHA256:
- e18ebf3d5e14d1b3903ea8de15e712714feabaa5e2ca8b246fbe76e8a2831de5
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