diff --git a/llama.cu/src/model/rwkv.rs b/llama.cu/src/model/rwkv.rs
new file mode 100644
index 00000000..14058362
--- /dev/null
+++ b/llama.cu/src/model/rwkv.rs
@@ -0,0 +1,113 @@
+use super::GGufModel;
+use crate::utils::meta;
+use nn::{
+    Linear, Normalization, NormType, OutputHead, RWKV, RWKVBlock, Tensor, TimeMix, ChannelMix,
+};
+
+impl GGufModel<'_> {
+    /// 构造 RWKV 模型
+    pub fn rwkv(&self) -> nn::RWKV<Tensor<&[u8], 2>> {
+        let n_layer = meta![self => block_count];
+        let hidden_size = meta![self => hidden_size];
+        let vocab_size = meta![self => vocab_size];
+        let epsilon = meta![self => layer_norm_epsilon; 1e-5];
+        
+        let dt_linear = self.tensors["emb.weight"].dt();
+        
+        let get = |name: &str| self.tensors[name].as_deref();
+        
+        let emb_weight = get("emb.weight");
+        let ln_out_weight = get("ln_out.weight");
+        let head_weight = get("head.weight");
+
+        RWKV {
+            embedding: Embedding {
+                dt: emb_weight.dt(),
+                d: hidden_size,
+                wte: Table {
+                    row: vocab_size,
+                    weight: emb_weight,
+                },
+                wpe: None,
+            },
+            blks: (0..n_layer)
+                .map(|iblk| {
+                    RWKVBlock::new(
+                        Normalization {
+                            d: hidden_size,
+                            epsilon: epsilon as _,
+                            items: NormType::RmsNorm {
+                                dt: ln_out_weight.dt(),
+                                scale: get(&format!("blocks.{iblk}.ln1.weight")),
+                            },
+                        },
+                        TimeMix {
+                            k: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.time_mix_k.weight")),
+                                None,
+                            ),
+                            v: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.time_mix_v.weight")),
+                                None,
+                            ),
+                            r: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.time_mix_r.weight")),
+                                None,
+                            ),
+                        },
+                        Normalization {
+                            d: hidden_size,
+                            epsilon: epsilon as _,
+                            items: NormType::RmsNorm {
+                                dt: ln_out_weight.dt(),
+                                scale: get(&format!("blocks.{iblk}.ln2.weight")),
+                            },
+                        },
+                        ChannelMix {
+                            k: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.channel_mix_k.weight")),
+                                None,
+                            ),
+                            r: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.channel_mix_r.weight")),
+                                None,
+                            ),
+                            v: Linear::new(
+                                dt_linear,
+                                [hidden_size, hidden_size],
+                                get(&format!("blocks.{iblk}.channel_mix_v.weight")),
+                                None,
+                            ),
+                        },
+                    )
+                })
+                .collect(),
+            output_head: Some(OutputHead {
+                out_norm: Normalization {
+                    d: hidden_size,
+                    epsilon: epsilon as _,
+                    items: NormType::RmsNorm {
+                        dt: ln_out_weight.dt(),
+                        scale: ln_out_weight,
+                    },
+                },
+                lm_head: Linear::new(
+                    head_weight.dt(),
+                    [vocab_size, hidden_size],
+                    head_weight,
+                    None,
+                ),
+            }),
+        }
+    }
+}