diff --git a/crates/neuron/src/harness/tp/tp_qwen3_5.rs b/crates/neuron/src/harness/tp/tp_qwen3_5.rs
index 4968d62..f501f4e 100644
--- a/crates/neuron/src/harness/tp/tp_qwen3_5.rs
+++ b/crates/neuron/src/harness/tp/tp_qwen3_5.rs
@@ -35,7 +35,7 @@ use candle_core::quantized::GgmlDType;
 use candle_core::safetensors::MmapedSafetensors;
 use candle_core::{DType, Device, IndexOp, Module, Tensor};
 use candle_nn::var_builder::ShardedVarBuilder;
-use candle_nn::{Embedding, Linear, kv_cache::ConcatKvCache};
+use candle_nn::{Embedding, kv_cache::ConcatKvCache};
 use candle_transformers::utils::repeat_kv;
 use std::sync::Arc;
 
@@ -994,7 +994,7 @@ impl TpQwen3_5Model {
 
 pub struct TpQwen3_5ForCausalLM {
     base: TpQwen3_5Model,
-    lm_head: Linear,
+    lm_head: super::tp_linear::MaybeQuantLinear,
 }
 
 impl TpQwen3_5ForCausalLM {
@@ -1011,7 +1011,7 @@ impl TpQwen3_5ForCausalLM {
     ) -> Result<Self> {
         let cfg = &config.text_config;
         let base = TpQwen3_5Model::load(cfg, vb, mmap, rank, world_size, comm, quant)?;
-        let lm_head = build_lm_head(cfg, vb, &base)?;
+        let lm_head = build_lm_head(cfg, vb, &base, quant)?;
         Ok(Self { base, lm_head })
     }
 
@@ -1026,7 +1026,7 @@ impl TpQwen3_5ForCausalLM {
     ) -> Result<Self> {
         let cfg = &config.text_config;
         let base = TpQwen3_5Model::load(cfg, vb, mmap, rank, world_size, quant)?;
-        let lm_head = build_lm_head(cfg, vb, &base)?;
+        let lm_head = build_lm_head(cfg, vb, &base, quant)?;
         Ok(Self { base, lm_head })
     }
 
@@ -1049,9 +1049,16 @@ fn build_lm_head(
     cfg: &TextConfig,
     vb: &ShardedVarBuilder,
     base: &TpQwen3_5Model,
-) -> Result<Linear> {
+    quant: Option<GgmlDType>,
+) -> Result<super::tp_linear::MaybeQuantLinear> {
     if cfg.tie_word_embeddings {
-        Ok(Linear::new(base.embed_weight().clone(), None))
+        // Tied: lm_head shares the embedding weight. Quantizing the
+        // shared tensor would corrupt the embedding lookup, so keep
+        // the lm_head plain even when `quant` is set. The memory win
+        // is already taken: only one copy of the (vocab, hidden) weight
+        // lives in VRAM in the tied case.
+        super::tp_linear::MaybeQuantLinear::from_weight(base.embed_weight().clone(), None)
+            .context("wrap tied lm_head")
     } else {
         // lm_head sits at the top level (sibling of `model.*`), NOT
         // under `model.language_model`.
@@ -1060,7 +1067,7 @@ fn build_lm_head(
             (cfg.vocab_size, cfg.hidden_size),
             "weight",
         )?;
-        Ok(Linear::new(weight, None))
+        super::tp_linear::MaybeQuantLinear::from_weight(weight, quant).context("wrap lm_head")
     }
 }