FrameLite
Inference code and task-specific language LoRA and vision merger weights.

FrameLite uses Qwen/Qwen3.5-0.8B as its pretrained backbone. The backbone
weights, tokenizer, processor, and model configuration are downloaded
separately from Qwen and are not redistributed in this model repository.
The upstream model is released by the Qwen team under the Apache License,
Version 2.0.
Upstream: https://huggingface.co/Qwen/Qwen3.5-0.8B
Upstream license: https://huggingface.co/Qwen/Qwen3.5-0.8B/blob/main/LICENSE

FrameLite's trained language LoRA and vision merger parameters are distributed
in framelite.safetensors. The language LoRA is not merged into the backbone.
The inference code is available at https://github.com/JianzeLi-114/FrameLite.

Runtime dependencies, including PyTorch, Transformers, PEFT, Pillow, and
Safetensors, retain their respective licenses. They are installed separately.