diff --git a/candle-transformers/src/models/mod.rs b/candle-transformers/src/models/mod.rs
index 389d1a80..de62120e 100644
--- a/candle-transformers/src/models/mod.rs
+++ b/candle-transformers/src/models/mod.rs
@@ -23,6 +23,7 @@ pub mod mistral;
 pub mod mixformer;
 pub mod mixtral;
 pub mod mobileone;
+pub mod moondream;
 pub mod mpt;
 pub mod persimmon;
 pub mod phi;
diff --git a/candle-transformers/src/models/moondream.rs b/candle-transformers/src/models/moondream.rs
new file mode 100644
index 00000000..8f019927
--- /dev/null
+++ b/candle-transformers/src/models/moondream.rs
@@ -0,0 +1,174 @@
+#![allow(unused)]
+use crate::models::phi;
+use candle::{Module, Result, Tensor};
+use candle_nn::{linear_b, Linear, VarBuilder};
+
+// https://github.com/vikhyat/moondream/blob/main/moondream/configuration_moondream.py
+#[derive(Debug, Clone, PartialEq, serde::Deserialize)]
+pub struct Config {
+    phi_config: phi::Config,
+    vision_config: VisionConfig,
+}
+
+#[derive(Debug, Clone, PartialEq, serde::Deserialize)]
+pub struct VisionConfig {
+    image_embedding_dim: usize,
+    model_dim: usize,
+    hidden_dim: usize,
+    act: candle_nn::Activation,
+}
+
+impl VisionConfig {
+    pub fn v2() -> Self {
+        Self {
+            image_embedding_dim: 1152,
+            model_dim: 2048,
+            hidden_dim: 2048 * 4,
+            act: candle_nn::Activation::Silu,
+        }
+    }
+}
+
+impl Config {
+    pub fn v2() -> Self {
+        let phi_config = phi::Config {
+            vocab_size: 51200,
+            hidden_size: 2048,
+            intermediate_size: 8192,
+            num_hidden_layers: 24,
+            num_attention_heads: 32,
+            num_key_value_heads: None,
+            hidden_act: candle_nn::Activation::NewGelu,
+            max_position_embeddings: 2048,
+            tie_word_embeddings: false,
+            layer_norm_eps: 1e-5,
+            rope_theta: 10_000.,
+            partial_rotary_factor: 0.5,
+            qk_layernorm: false,
+        };
+        let vision_config = VisionConfig::v2();
+        Self {
+            phi_config,
+            vision_config,
+        }
+    }
+}
+
+#[derive(Debug, Clone)]
+struct LinearPatchEmbedding {
+    linear: Linear,
+}
+
+#[derive(Debug, Clone)]
+struct Encoder {}
+
+impl Encoder {
+    fn new(cfg: &VisionConfig, vb: VarBuilder) -> Result<Self> {
+        todo!()
+    }
+}
+
+impl Module for Encoder {
+    fn forward(&self, xs: &Tensor) -> Result<Tensor> {
+        todo!()
+    }
+}
+
+#[derive(Debug, Clone)]
+struct Mlp {
+    fc1: Linear,
+    act: candle_nn::Activation,
+    fc2: Linear,
+}
+
+impl Mlp {
+    fn new(
+        in_f: usize,
+        hidden_f: usize,
+        out_f: usize,
+        act: candle_nn::Activation,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        let fc1 = linear_b(in_f, hidden_f, true, vb.pp("fc1"))?;
+        let fc2 = linear_b(hidden_f, out_f, true, vb.pp("fc2"))?;
+        Ok(Self { fc1, act, fc2 })
+    }
+}
+
+impl Module for Mlp {
+    fn forward(&self, xs: &Tensor) -> Result<Tensor> {
+        xs.apply(&self.fc1)?.apply(&self.act)?.apply(&self.fc2)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct VisionProjection {
+    mlp: Mlp,
+}
+
+impl VisionProjection {
+    fn new(cfg: &VisionConfig, vb: VarBuilder) -> Result<Self> {
+        let mlp = Mlp::new(
+            cfg.image_embedding_dim,
+            cfg.hidden_dim,
+            cfg.model_dim,
+            cfg.act,
+            vb.pp("mlp"),
+        )?;
+        Ok(Self { mlp })
+    }
+}
+
+impl Module for VisionProjection {
+    fn forward(&self, xs: &Tensor) -> Result<Tensor> {
+        xs.apply(&self.mlp)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct VisionEncoder {
+    encoder: Encoder,
+    projection: VisionProjection,
+}
+
+impl VisionEncoder {
+    pub fn new(cfg: &VisionConfig, vb: VarBuilder) -> Result<Self> {
+        let encoder = Encoder::new(cfg, vb.pp("vision.trunk"))?;
+        let projection = VisionProjection::new(cfg, vb.pp("projection"))?;
+        Ok(Self {
+            encoder,
+            projection,
+        })
+    }
+}
+
+impl Module for VisionEncoder {
+    fn forward(&self, xs: &Tensor) -> Result<Tensor> {
+        let (b, c, hp1, wp2) = xs.dims4()?;
+        let (p1, p2) = (14, 14);
+        let h = hp1 / p1;
+        let w = wp2 / p2;
+        let xs = xs
+            .reshape((b, c, h, p1, h, p2))?
+            .permute((0, 2, 4, 1, 3, 5))?
+            .reshape((b, h * w, c * p1 * p2))?;
+        xs.apply(&self.encoder)?.apply(&self.projection)
+    }
+}
+
+#[derive(Debug, Clone)]
+pub struct Model {
+    text_model: phi::Model,
+    vision_encoder: VisionEncoder,
+}
+
+impl Model {
+    pub fn new(cfg: &Config, vb: VarBuilder) -> Result<Self> {
+        let text_model = phi::Model::new(&cfg.phi_config, vb.pp("text_model"))?;
+        let vision_encoder = VisionEncoder::new(&cfg.vision_config, vb.pp("vision_encoder"))?;
+        Ok(Self {
+            text_model,
+            vision_encoder,
+        })
+    }
+}
diff --git a/candle-transformers/src/models/phi.rs b/candle-transformers/src/models/phi.rs
index 8bf357e7..a98244f6 100644
--- a/candle-transformers/src/models/phi.rs
+++ b/candle-transformers/src/models/phi.rs
@@ -106,7 +106,7 @@ impl Module for MLP {
     }
 }
 
-#[derive(Clone)]
+#[derive(Clone, Debug)]
 struct Attention {
     q_proj: Linear,
     k_proj: Linear,
@@ -265,7 +265,7 @@ impl Attention {
     }
 }
 
-#[derive(Clone)]
+#[derive(Clone, Debug)]
 struct DecoderLayer {
     self_attn: Attention,
     mlp: MLP,
@@ -304,7 +304,7 @@ impl DecoderLayer {
     }
 }
 
-#[derive(Clone)]
+#[derive(Clone, Debug)]
 pub struct Model {
     embed_tokens: Embedding,
     layers: Vec<DecoderLayer>,