Instructions to use Danny-jin/math-sft-a17-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Danny-jin/math-sft-a17-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Thinking-2507") model = PeftModel.from_pretrained(base_model, "Danny-jin/math-sft-a17-lora") - Notebooks
- Google Colab
- Kaggle
Final A17 LoRA Adapter
This repository contains the final A17 LoRA adapter used by
Danny-jin/math-sft-final-inference.
The base model is Qwen/Qwen3-4B-Thinking-2507. In the inference repository,
set QWEN_BASE_MODEL to either that HuggingFace id or a local snapshot path,
then load this adapter with vLLM LoRA support.
Required files:
adapter_config.jsonadapter_model.safetensors- tokenizer files copied from the training run
- Downloads last month
- 54
Model tree for Danny-jin/math-sft-a17-lora
Base model
Qwen/Qwen3-4B-Thinking-2507