Bump version from 0.0.21 to 0.0.22

Signed-off-by: ZX-ModelCloud <zx@modelcloud.ai>

Author: ZX-ModelCloud

README.md

@@ -64,17 +64,17 @@ Defuser currently supports the following `transformers>=5.3.0` `model_type` valu
 
 ### 🔄 `convert_model(model)` after load
 
-| Pattern | Supported model types | Defused op performed ⚙️ |
-| --- | --- | --- |
+| Pattern | Supported model types                                                                                                                                                                                                               | Defused op performed ⚙️ |
+| --- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| --- |
 | Standard routed expert tensors 🧱 | `deepseek_v2`, `dots1`, `ernie4_5_moe`, `ernie4_5_vl_moe`, `exaone_moe`, `flex_olmo`, `glm4_moe_lite`, `glm4v_moe`, `hunyuan_v1_moe`, `jamba`, `laguna`, `lfm2_moe`, `minimax`, `minimax_m2`, `olmoe`, `qwen3_vl_moe`, `solar_open` | Splits fused expert tensors or registered expert buffers into numbered expert `nn.Linear` modules with per-expert `gate_proj`, `up_proj`, and `down_proj`. |
-| Mixed sparse and shared experts | `deepseek_v3`, `glm_moe_dsa`, `qwen3_5_moe`, `qwen3_5_moe_text` | Runtime expert tensor defusion for routed experts while preserving the model's shared-expert path. |
-| Transposed or packed expert tensors | `gpt_oss`, `phimoe` | Splits transposed fused expert `gate_up_proj` tensors into per-expert `gate_proj` + `up_proj`, preserves expert bias when present, and converts expert tensors into numbered expert `nn.Linear` modules. |
-| Flattened expert layout | `dbrx` | Rebuilds the flattened DBRX expert FFN weights into numbered expert `gate_proj`, `up_proj`, and `down_proj` `nn.Linear` modules. |
-| Batched expert-input execution | `llama4` | Runtime expert tensor defusion plus preservation of the llama4 batched expert-input execution contract. |
-| Non-gated expert MLPs | `nemotron_h` | Converts routed expert tensors into numbered `up_proj` and `down_proj` `nn.Linear` modules for non-gated experts. |
-| Parallel expert blocks | `granitemoe`, `granitemoehybrid`, `granitemoeshared`, `jetmoe` | Converts packed expert weight tensors into numbered expert `linear` modules while keeping grouped expert execution intact. |
-| Routed experts with identity experts | `longcat_flash` | Defuses routed experts into numbered `gate_proj`, `up_proj`, and `down_proj` modules and preserves zero or identity experts. |
-| Fused dense `gate_up_proj` MLPs | `dia`, `glm`, `glm4`, `glm_image`, `glm_ocr`, `phi3`, `phi4_multimodal`, `zamba2` | Splits fused dense `gate_up_proj` layers into `gate_proj` + `up_proj` and updates the block `forward()` to preserve the original MLP math. |
+| Mixed sparse and shared experts | `deepseek_v3`, deepseek_v4`, `glm_moe_dsa`, `qwen3_5_moe`, `qwen3_5_moe_text`                                                                                                                                                       | Runtime expert tensor defusion for routed experts while preserving the model's shared-expert path. |
+| Transposed or packed expert tensors | `gpt_oss`, `phimoe`                                                                                                                                                                                                                 | Splits transposed fused expert `gate_up_proj` tensors into per-expert `gate_proj` + `up_proj`, preserves expert bias when present, and converts expert tensors into numbered expert `nn.Linear` modules. |
+| Flattened expert layout | `dbrx`                                                                                                                                                                                                                              | Rebuilds the flattened DBRX expert FFN weights into numbered expert `gate_proj`, `up_proj`, and `down_proj` `nn.Linear` modules. |
+| Batched expert-input execution | `llama4`                                                                                                                                                                                                                            | Runtime expert tensor defusion plus preservation of the llama4 batched expert-input execution contract. |
+| Non-gated expert MLPs | `nemotron_h`                                                                                                                                                                                                                        | Converts routed expert tensors into numbered `up_proj` and `down_proj` `nn.Linear` modules for non-gated experts. |
+| Parallel expert blocks | `granitemoe`, `granitemoehybrid`, `granitemoeshared`, `jetmoe`                                                                                                                                                                      | Converts packed expert weight tensors into numbered expert `linear` modules while keeping grouped expert execution intact. |
+| Routed experts with identity experts | `longcat_flash`                                                                                                                                                                                                                     | Defuses routed experts into numbered `gate_proj`, `up_proj`, and `down_proj` modules and preserves zero or identity experts. |
+| Fused dense `gate_up_proj` MLPs | `dia`, `glm`, `glm4`, `glm_image`, `glm_ocr`, `phi3`, `phi4_multimodal`, `zamba2`                                                                                                                                                   | Splits fused dense `gate_up_proj` layers into `gate_proj` + `up_proj` and updates the block `forward()` to preserve the original MLP math. |
 
 ## 🔁 Workflow Summary
 

pyproject.toml

@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "Defuser"
-version = "0.0.21"
+version = "0.0.22"
 description = "Model defuser helper for HF Transformers."
 readme = "README.md"
 requires-python = ">=3.9"