Instructions to use bcoding/deepseek_7b_llvm_sft_lora_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bcoding/deepseek_7b_llvm_sft_lora_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bcoding/deepseek_7b_llvm_sft_lora_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from bcoding/deepseek_7b_llvm_sft_lora_3: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/bcoding/deepseek_7b_llvm_sft_lora_3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://bcoding/deepseek_7b_llvm_sft_lora_3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/bcoding/deepseek_7b_llvm_sft_lora_3/resolve/main/adapter_model.safetensors
162 MB
- Xet hash:
- 37da3a3e72aa3da0471d090ddf9196f1edb545708c2037b85b3567c1b8b17561
- Size of remote file:
- 162 MB
- SHA256:
- 25850afab94d93fb75b1cdd2bfada4b52fc5048c54882b565d6dd8417e075346
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