diff --git a/vall_e/emb/qnt.py b/vall_e/emb/qnt.py
index 604d3eb..55cc61b 100755
--- a/vall_e/emb/qnt.py
+++ b/vall_e/emb/qnt.py
@@ -143,13 +143,11 @@ def _load_vocos_model(device="cuda", levels=cfg.model.max_levels):
 
 @cache
 def _load_dac_model(device="cuda", levels=cfg.model.max_levels):
-	kwargs = dict(model_type="24khz",model_bitrate="8kbps",tag="latest")
+	kwargs = dict(model_type="44khz",model_bitrate="8kbps",tag="latest")
 	if not cfg.variable_sample_rate:
 		# yes there's a better way, something like f'{cfg.sample.rate//1000}hz'
 		if cfg.sample_rate == 44_000:
 			kwargs["model_type"] = "44khz"
-		elif cfg.sample_rate == 24_000:
-			kwargs["model_type"] = "24khz"
 		elif cfg.sample_rate == 16_000:
 			kwargs["model_type"] = "16khz"
 		else:
@@ -279,11 +277,6 @@ def encode(wav: Tensor, sr: int = cfg.sample_rate, device="cuda", levels=cfg.mod
 		with torch.autocast("cuda", dtype=cfg.inference.dtype, enabled=cfg.inference.amp):
 			artifact = model.compress(signal, win_duration=None, verbose=False, n_quantizers=levels)
 
-		# trim to 8 codebooks if 24Khz
-		# probably redundant with levels, should rewrite logic eventuall
-		if model.model_type == "24khz":
-			artifact.codes = artifact.codes[:, :8, :]
-
 		return artifact.codes if not return_metadata else artifact
 
 	# vocos does not encode wavs to encodecs, so just use normal encodec