tiny-Qwen3_5MoeForConditionalGeneration-3.6 is a very small synthetic model created for internal testing of the TRL (Transformers Reinforcement Learning) library. It mimics the architecture of Qwen3 Mixture-of-Experts models for conditional text generation. This model is not intended for real-world use but serves as a test fixture for library developers.
Tiny Qwen3 5MoeForConditionalGeneration sits in PulseGate's Foundation models & chat category. It focuses on providing a minimal reproducible model for testing and validating training and inference code for Qwen3 MoE architectures. It is built as an open-source project for developers. Tiny Qwen3 5MoeForConditionalGeneration is open source under the Apache-2.0 license. The product ships for the web, the command line, and API.
trl-internal-testing builds and maintains Tiny Qwen3 5MoeForConditionalGeneration, and the product first shipped in 2020. Development happens publicly on GitHub with 18.9k stars and 496 commits in the last 90 days. Key capabilities include mixture-of-Experts, tiny test model, and conditional generation.
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trl-internal-testing/tiny-Qwen3_5MoeForConditionalGeneration-3.6 verified by the PulseGate indexer
