Text Generation
PEFT
Safetensors
qwen3-coder
coding
software-engineering
lora
Mixture of Experts
tiny-pickle
conversational
Instructions to use vsan/tiny-pickle-v3-coder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vsan/tiny-pickle-v3-coder-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "vsan/tiny-pickle-v3-coder-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cde4a74e4e72c6d6e4de3dbefadc1126f1c950f2e8aaec79530b633afb430c14
- Size of remote file:
- 428 MB
- SHA256:
- 1c0ee3b33acaf7e1c57768de9c90c8e6578d4b8b8281de6e4f5473e6e09eb84c
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