Add AFMoE model implementation (#13216)

docs/supported_models/generative_models.md

@@ -64,3 +64,4 @@ in the GitHub search bar.
 | **NVIDIA Nemotron Nano 2.0** | `nvidia/NVIDIA-Nemotron-Nano-9B-v2` | The [NVIDIA Nemotron](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/) family of multimodal models provides state-of-the-art reasoning models specifically designed for enterprise-ready AI agents. `Nemotron-Nano-9B-v2` is a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compared to similarly-sized models. |
 | **StarCoder2** (3B-15B)               | `bigcode/starcoder2-7b`                         | StarCoder2 is a family of open large language models (LLMs) specialized for code generation and understanding. It is the successor to StarCoder, jointly developed by the BigCode project (a collaboration between Hugging Face, ServiceNow Research, and other contributors). |
 | **Jet-Nemotron** | `jet-ai/Jet-Nemotron-2B` | Jet-Nemotron is a new family of hybrid-architecture language models that surpass state-of-the-art open-source full-attention language models, while achieving significant efficiency gains. |
+| **Trinity** (Nano, Mini) | `arcee-ai/Trinity-Mini` | Arcee's foundational MoE Trinity family of models, open weights under Apache 2.0. |