Instructions to use kumapo/qwen3-4b-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumapo/qwen3-4b-sft-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kumapo/qwen3-4b-sft-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
Uploaded finetuned model
- Developed by: kumapo
- License: apache-2.0
- Finetuned from model : unsloth/qwen3-4b-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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