trl-internal-testing/tiny-LlavaForConditionalGeneration is a minimal test model for Llava-style vision-language conditional generation. It is used by the TRL (Transformers Reinforcement Learning) team to test training, inference, and chat template functionality for multimodal models. The model supports image and text inputs.
Tiny LlavaForConditionalGeneration is a Foundation models & chat product. It focuses on enabling unit tests for multimodal (vision-language) training and inference pipelines within the TRL library. Tiny LlavaForConditionalGeneration is an open-source project aimed at developers. The project is open source (Apache-2.0). Tiny LlavaForConditionalGeneration is available on the web, the command line, and API.
It is developed by TRL Internal Testing, and the product first shipped in 2020. The project is developed in the open on GitHub with 18.9k stars and 521 commits in the last 90 days. Among its 3 catalogued features are Multimodal Generation, Test Model, and vision-Language.
Latest indexed changes and source events
trl-internal-testing/tiny-LlavaForConditionalGeneration verified by the PulseGate indexer
Other apps tracked under the same category.
