Text Generation
PEFT
Safetensors
Russian
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lora
qlora
unsloth
code
1c
1c-enterprise
russian
minicpm
conversational
Instructions to use RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-2B") model = PeftModel.from_pretrained(base_model, "RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Add MiniCPM5-2B 1C:Enterprise Script QLoRA adapter, model card and benchmark artifacts
64cd354 verified Download tokenizer.json from RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora: direct link, hf CLI and curl.
- Browser
- Download file 9.89 MB
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https://huggingface.co/RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora/resolve/main/tokenizer.json
- Command line
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hf download hf://RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/RenShiPDev/MiniCPM5-2B-1c-enterprise-script-QLora/resolve/main/tokenizer.json
9.89 MB
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