diff --git a/README.md b/README.md
index d9e7633..f884fdd 100644
--- a/README.md
+++ b/README.md
@@ -88,6 +88,7 @@ the solution process.
  * `MOA.ObjectivePriority(index::Int)`
  * `MOA.ObjectiveRelativeTolerance(index::Int)`
  * `MOA.ObjectiveWeight(index::Int)`
+ * `MOA.SilentInner()`
  * `MOA.SolutionLimit()`
  * `MOI.TimeLimitSec()`
 
diff --git a/src/MultiObjectiveAlgorithms.jl b/src/MultiObjectiveAlgorithms.jl
index fdbad5d..0a7f39c 100644
--- a/src/MultiObjectiveAlgorithms.jl
+++ b/src/MultiObjectiveAlgorithms.jl
@@ -178,9 +178,13 @@ MOI.instantiate(optimizer_factory; with_cache_type = Float64)
 ## Example
 
 ```julia
-import MultiObjectiveAlgorithms as MOA
-import HiGHS
-optimizer = () -> MOA.Optimizer(HiGHS.Optimizer)
+julia> using JuMP
+
+julia> import MultiObjectiveAlgorithms as MOA
+
+julia> import HiGHS
+
+julia> model = Model(() -> MOA.Optimizer(HiGHS.Optimizer))
 ```
 """
 mutable struct Optimizer <: MOI.AbstractOptimizer
@@ -202,6 +206,7 @@ mutable struct Optimizer <: MOI.AbstractOptimizer
     function Optimizer(optimizer_factory)
         inner = MOI.instantiate(optimizer_factory; with_cache_type = Float64)
         if MOI.supports(inner, MOI.Silent())
+            # Make the default for `SilentInner` true.
             MOI.set(inner, MOI.Silent(), true)
         end
         return new(
@@ -261,6 +266,33 @@ function MOI.set(model::Optimizer, ::MOI.Silent, value::Bool)
     return
 end
 
+### SilentInner
+
+"""
+    SilentInner() <: MOI.AbstractOptimizerAttribute
+
+An optimizer attribute that controls whether the inner optimizer's `MOI.Silent`
+attribute.
+
+By default, this attribute is set to `true`. Set it to `false` to enable logging
+of the inner solver. In most cases, this will result in a large amount of output
+that is hard to interpret, but it may be helpful when debugging failed solves.
+"""
+struct SilentInner <: MOI.AbstractOptimizerAttribute end
+
+function MOI.supports(model::Optimizer, ::SilentInner)
+    return MOI.supports(model.inner, MOI.Silent())
+end
+
+function MOI.get(model::Optimizer, ::SilentInner)
+    return MOI.get(model.inner, MOI.Silent())
+end
+
+function MOI.set(model::Optimizer, ::SilentInner, value::Bool)
+    MOI.set(model.inner, MOI.Silent(), value)
+    return
+end
+
 ### TimeLimitSec
 
 function MOI.supports(model::Optimizer, attr::MOI.TimeLimitSec)
diff --git a/test/test_model.jl b/test/test_model.jl
index 6cadedf..0c35f8d 100644
--- a/test/test_model.jl
+++ b/test/test_model.jl
@@ -271,6 +271,32 @@ function test_printing()
     return
 end
 
+function test_printing_silent_inner()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    @test MOI.supports(model, MOA.SilentInner())
+    @test MOI.get(model, MOA.SilentInner()) == true
+    MOI.set(model, MOA.SilentInner(), false)
+    @test MOI.get(model, MOA.SilentInner()) == false
+    MOI.set(model, MOI.Silent(), true)
+    MOI.set(model, MOA.Algorithm(), MOA.KirlikSayin())
+    x = MOI.add_variables(model, 2)
+    MOI.add_constraint.(model, x, MOI.GreaterThan(0.0))
+    MOI.add_constraint(model, x[2], MOI.LessThan(3.0))
+    MOI.add_constraint(model, 3.0 * x[1] - 1.0 * x[2], MOI.LessThan(6.0))
+    MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
+    f = MOI.Utilities.vectorize([3.0 * x[1] + x[2], -1.0 * x[1] - 2.0 * x[2]])
+    MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
+    dir = mktempdir()
+    open(joinpath(dir, "log.txt"), "w") do io
+        redirect_stdout(() -> MOI.optimize!(model), io)
+        return
+    end
+    contents = read(joinpath(dir, "log.txt"), String)
+    @test occursin("HiGHS", contents)
+    @test !occursin("MultiObjectiveAlgorithms.jl", contents)
+    return
+end
+
 end  # module
 
 TestModel.run_tests()