Text Generation
PEFT
Safetensors
Korean
qwen2.5
qwen
14b
fine-tuning
finetuned
lora
vllm
korean
korean-llm
coding
coding-assistant
developer-assistant
linux
fastapi
docker
systemd
cuda
ollama
openwebui
dgx
guardrails
conversational
Instructions to use koreallmdev/qwen2-5-14b-korean-coding-assistant-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use koreallmdev/qwen2-5-14b-korean-coding-assistant-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "koreallmdev/qwen2-5-14b-korean-coding-assistant-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 168e8f09ebf29810ed6e4cff295816eb579ce820d9b0e34d9b0684ef9dcc0d6d
- Size of remote file:
- 11.4 MB
- SHA256:
- 77aee79a8d8a7e27c91925807c684d69cf2157633fc34b9fae29e53e39dc48bf
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