clean up readme

Author: Qubitium

README.md

@@ -49,6 +49,8 @@ from defuser import convert_model, replace_fused_blocks
 | `qwen3_omni_moe` | `replace_fused_blocks("qwen3_omni_moe")` before load | Replaces the thinker text sparse MoE block with a defused per-expert linear block and applies small runtime compatibility patches for text `forward()` and `generate()`. |
 | `glm4_moe` | `replace_fused_blocks("glm4_moe")` before load | Replaces `Glm4MoeMoE` with a defused per-expert linear MoE block. |
 | `glm4v` | `replace_fused_blocks("glm4v")` before load | Replaces the fused text MLP with split `gate_proj`, `up_proj`, and `down_proj` layers. Also splits fused checkpoint `mlp.gate_up_proj.weight` into `mlp.gate_proj.weight` + `mlp.up_proj.weight`. |
+| `gpt_oss` | `convert_model(model)` after load | Runtime expert tensor defusion. Splits fused transposed expert `gate_up_proj` into per-expert `gate_proj` + `up_proj`, carries over expert biases, and converts fused expert tensors into numbered expert `nn.Linear` modules. |
+| `llama4` | `convert_model(model)` after load | Runtime expert tensor defusion. Splits fused transposed expert `gate_up_proj` into per-expert `gate_proj` + `up_proj`, converts fused expert tensors into numbered expert `nn.Linear` modules, and preserves the llama4 batched expert-input execution contract. |
 
 ## Workflow Summary