Instructions to use rbentaarit/kubelm-qwen3.5-2b-v1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbentaarit/kubelm-qwen3.5-2b-v1-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "rbentaarit/kubelm-qwen3.5-2b-v1-lora") - Notebooks
- Google Colab
- Kaggle
β οΈ Moved β this repo is deprecated
The kubelm-qwen3.5-2b-v1 LoRA adapter has been consolidated into the
single model repo alongside the Q4_K_M GGUF and model card:
π rbentaarit/kubelm-qwen3.5-2b-v1
The adapter now lives under adapter/ in that repo. This standalone
-lora repo is kept only so existing links keep resolving; it receives
no further updates. Pull the adapter from the consolidated repo:
from huggingface_hub import snapshot_download
snapshot_download("rbentaarit/kubelm-qwen3.5-2b-v1", allow_patterns="adapter/*")
For everything else (GGUF, serving instructions, eval numbers, provenance) see the consolidated repo's card.
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