Exact source and integrity
- Base: Qwen/Qwen3-VL-8B-Instruct
- Base revision:
0c351dd01ed87e9c1b53cbc748cba10e6187ff3b
- Base content tree SHA-256 recorded by the source run:
d07a3b67a1ccf43611d024e02da8b9ce026ae81556b87a8f3098810827d64652
adapter_model.safetensors SHA-256: f512013c1df3ceec919b65b50a553867a9b0849f9b544a91e9987a2faada3584
adapter_config.json SHA-256: 479227688646b1667549dee519522dae74a3cd547f96464f1b19605f481cc13b
- LoRA rank/alpha:
16 / 32
- Target modules:
["v_proj", "k_proj", "o_proj", "q_proj"]
The original training run and adapter weights are frozen. Training data and training scripts are not included. This release supports evaluation without retraining. For the exact evaluation prompts, decoding parameters, data IDs and reported metrics, see the linked GitHub project package.
Loading
Load the base model at the pinned revision, then attach this adapter with PEFT. For InternVL3 attach the LoRA to model.language_model, as specified by the project runtime.
License
The base-model license applies to this derivative adapter. This card does not grant rights beyond the base model's license.