Instructions to use benchflow/benchflow-qwen35-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benchflow/benchflow-qwen35-9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "benchflow/benchflow-qwen35-9b") - Notebooks
- Google Colab
- Kaggle
Merged full weights: base Qwen3.5-9B @ c202236 + LoRA adapter @ b585e34 (offline merge, scaling 2.0, 128 modules)
#5
by bingran-you - opened
Runtime LoRA on the qwen3_5 hybrid arch is silently a no-op in vLLM (and crashes SGLang), so serving must use merged weights. Merge: W += (alpha/r) * B@A, alpha=64 r=32; tokenizer/chat_template/generation_config overlaid from the adapter repo. Produced on env0-h100-spot 2026-07-03, max|delta|=1.9e-03. Checkpoint-backup PR per repo convention - do not merge to main (main stays the adapter).