diff --git a/candle-examples/examples/reinforcement-learning/ddpg.rs b/candle-examples/examples/reinforcement-learning/ddpg.rs
index 5309eaf669..26d648472f 100644
--- a/candle-examples/examples/reinforcement-learning/ddpg.rs
+++ b/candle-examples/examples/reinforcement-learning/ddpg.rs
@@ -1,5 +1,4 @@
 use std::collections::VecDeque;
-use std::fmt::Display;
 
 use candle::{DType, Device, Error, Module, Result, Tensor, Var};
 use candle_nn::{
diff --git a/candle-examples/examples/reinforcement-learning/gym_env.rs b/candle-examples/examples/reinforcement-learning/gym_env.rs
index a2b6652f87..05518b1bf1 100644
--- a/candle-examples/examples/reinforcement-learning/gym_env.rs
+++ b/candle-examples/examples/reinforcement-learning/gym_env.rs
@@ -1,4 +1,3 @@
-#![allow(unused)]
 //! Wrappers around the Python API of Gymnasium (the new version of OpenAI gym)
 use candle::{Device, Result, Tensor};
 use pyo3::prelude::*;
diff --git a/candle-examples/examples/reinforcement-learning/main.rs b/candle-examples/examples/reinforcement-learning/main.rs
index 1a25cd93ef..34115b228a 100644
--- a/candle-examples/examples/reinforcement-learning/main.rs
+++ b/candle-examples/examples/reinforcement-learning/main.rs
@@ -1,5 +1,3 @@
-#![allow(unused)]
-
 #[cfg(feature = "mkl")]
 extern crate intel_mkl_src;
 
diff --git a/candle-examples/examples/reinforcement-learning/policy_gradient.rs b/candle-examples/examples/reinforcement-learning/policy_gradient.rs
index 6c355fe62f..3ae2617d16 100644
--- a/candle-examples/examples/reinforcement-learning/policy_gradient.rs
+++ b/candle-examples/examples/reinforcement-learning/policy_gradient.rs
@@ -14,7 +14,7 @@ fn new_model(
 ) -> Result<(impl Module, VarMap)> {
     let input_size = input_shape.iter().product();
 
-    let mut varmap = VarMap::new();
+    let varmap = VarMap::new();
     let var_builder = VarBuilder::from_varmap(&varmap, dtype, device);
 
     let model = seq()
diff --git a/candle-examples/examples/reinforcement-learning/vec_gym_env.rs b/candle-examples/examples/reinforcement-learning/vec_gym_env.rs
index e382ad76da..65f67f74ce 100644
--- a/candle-examples/examples/reinforcement-learning/vec_gym_env.rs
+++ b/candle-examples/examples/reinforcement-learning/vec_gym_env.rs
@@ -1,8 +1,6 @@
-#![allow(unused)]
 //! Vectorized version of the gym environment.
 use candle::{DType, Device, Result, Tensor};
 use pyo3::prelude::*;
-use pyo3::types::PyDict;
 
 #[derive(Debug)]
 pub struct Step {
diff --git a/candle-transformers/src/models/encodec.rs b/candle-transformers/src/models/encodec.rs
index a8d509ce8b..517b9b1d7e 100644
--- a/candle-transformers/src/models/encodec.rs
+++ b/candle-transformers/src/models/encodec.rs
@@ -4,9 +4,8 @@
 //!
 //! Based on implementation from [huggingface/transformers](https://github.com/huggingface/transformers/blob/main/src/transformers/models/encodec/modeling_encodec.py)
 
-#![allow(unused)]
 use candle::{DType, IndexOp, Layout, Module, Result, Shape, Tensor, D};
-use candle_nn::{conv1d, Conv1d, Conv1dConfig, ConvTranspose1d, VarBuilder};
+use candle_nn::{conv1d, Conv1d, ConvTranspose1d, VarBuilder};
 
 // Encodec Model
 // https://github.com/huggingface/transformers/blob/main/src/transformers/models/encodec/modeling_encodec.py
@@ -226,6 +225,7 @@ impl candle::CustomOp2 for CodebookEncode {
 }
 
 // https://github.com/huggingface/transformers/blob/abaca9f9432a84cfaa95531de4c72334f38a42f2/src/transformers/models/encodec/modeling_encodec.py#L340
+#[allow(unused)]
 #[derive(Clone, Debug)]
 pub struct EuclideanCodebook {
     inited: Tensor,
diff --git a/candle-transformers/src/models/starcoder2.rs b/candle-transformers/src/models/starcoder2.rs
index 833cb0679f..0df5990b89 100644
--- a/candle-transformers/src/models/starcoder2.rs
+++ b/candle-transformers/src/models/starcoder2.rs
@@ -15,7 +15,6 @@
 //! - [Model Card](https://huggingface.co/bigcode/starcoder)
 //!
 
-#![allow(unused)]
 use candle::{DType, Device, Module, Result, Tensor, D};
 use candle_nn::{layer_norm, linear_b, LayerNorm, Linear, VarBuilder};
 use std::sync::Arc;