Instructions to use link-failed/SeeThat-PerfCodeBench-Qwen3.6-35B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use link-failed/SeeThat-PerfCodeBench-Qwen3.6-35B-A3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "link-failed/SeeThat-PerfCodeBench-Qwen3.6-35B-A3B") - Notebooks
- Google Colab
- Kaggle
Tinker LoRA Adapter
This repository contains a LoRA adapter exported from Tinker.
Usage
from transformers import AutoModelForCausalLM
adapter_id = "link-failed/SeeThat-PerfCodeBench-Qwen3.6-35B-A3B"
base_model = "Qwen/Qwen3.6-35B-A3B"
model = AutoModelForCausalLM.from_pretrained(adapter_id, device_map="auto")
Details
- Base model: Qwen/Qwen3.6-35B-A3B
- LoRA rank: 32
- Trained modules: attn=True, mlp=True, unembed=True
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