Instructions to use ximosss/ReViSQL-Qwen3-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ximosss/ReViSQL-Qwen3-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "ximosss/ReViSQL-Qwen3-4B") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from ximosss/ReViSQL-Qwen3-4B: direct link, hf CLI and curl.
- Browser
- Download file 346 Bytes
-
https://huggingface.co/ximosss/ReViSQL-Qwen3-4B/resolve/main/adapter_config.json
- Command line
-
hf download hf://ximosss/ReViSQL-Qwen3-4B/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/ximosss/ReViSQL-Qwen3-4B/resolve/main/adapter_config.json
346 Bytes
| { | |
| "peft_type": "LORA", | |
| "task_type": "CAUSAL_LM", | |
| "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507", | |
| "r": 32, | |
| "lora_alpha": 64.0, | |
| "lora_dropout": 0.0, | |
| "bias": "none", | |
| "target_modules": [ | |
| "down_proj", | |
| "gate_proj", | |
| "k_proj", | |
| "o_proj", | |
| "q_proj", | |
| "up_proj", | |
| "v_proj" | |
| ], | |
| "modules_to_save": null | |
| } | |