diff --git a/scripts/models/glm4.7-30B-A3B.sh b/scripts/models/glm4.7-30B-A3B.sh
new file mode 100644
index 000000000..ec0516ae7
--- /dev/null
+++ b/scripts/models/glm4.7-30B-A3B.sh
@@ -0,0 +1,46 @@
+MOE_SHARED_EXPERTS=1
+
+MOE_FFN_HIDDEN=1536
+MOE_SHARED_EXPERT_INTERMEDIATE_SIZE=$((MOE_FFN_HIDDEN * MOE_SHARED_EXPERTS))
+N_DENSE_LAYERS=1
+N_MOE_LAYERS=46
+
+MODEL_ARGS=(
+    --moe-layer-freq [0]*$N_DENSE_LAYERS+[1]*$N_MOE_LAYERS
+    --num-experts 64
+    --moe-shared-expert-intermediate-size $MOE_SHARED_EXPERT_INTERMEDIATE_SIZE
+    --moe-router-topk 4
+    --moe-grouped-gemm
+    --moe-permute-fusion
+    --moe-ffn-hidden-size $MOE_FFN_HIDDEN
+    --moe-router-score-function sigmoid
+    --moe-router-pre-softmax
+    --moe-router-enable-expert-bias
+    --moe-router-bias-update-rate 0
+    --moe-router-load-balancing-type seq_aux_loss
+    --moe-router-topk-scaling-factor 1.8
+    --moe-aux-loss-coeff 0
+    --moe-router-dtype fp32
+    --num-layers $((N_DENSE_LAYERS + N_MOE_LAYERS))
+    --hidden-size 2048
+    --ffn-hidden-size 10240
+    --num-attention-heads 20
+    --disable-bias-linear
+    --add-qkv-bias
+    --swiglu
+    --untie-embeddings-and-output-weights
+    --position-embedding-type rope
+    --no-position-embedding
+    --normalization RMSNorm
+    --qk-layernorm
+    --multi-latent-attention
+    --q-lora-rank 768
+    --kv-lora-rank 512
+    --qk-head-dim 192
+    --v-head-dim 256
+    --kv-channels 192
+    --qk-pos-emb-head-dim 64
+    --vocab-size 154880
+    --rotary-base 1000000
+    --enable-experimental
+)
diff --git a/slime/backends/megatron_utils/megatron_to_hf/__init__.py b/slime/backends/megatron_utils/megatron_to_hf/__init__.py
index 84ff899aa..b42cacdce 100644
--- a/slime/backends/megatron_utils/megatron_to_hf/__init__.py
+++ b/slime/backends/megatron_utils/megatron_to_hf/__init__.py
@@ -31,7 +31,9 @@ def convert_to_hf(args, model_name, name, param, quantization_config=None):
 
 # TODO optimize code details
 def _convert_to_hf_core(args, model_name, name, param):
-    if "glm4moe" in model_name:
+    if "glm4moelite" in model_name or "deepseekv3" in model_name:
+        converted_named_tensors = convert_deepseekv3_to_hf(args, name, param)
+    elif "glm4moe" in model_name:
         converted_named_tensors = convert_glm4moe_to_hf(args, name, param)
     elif "glm4" in model_name:
         converted_named_tensors = convert_glm4_to_hf(args, name, param)
@@ -41,9 +43,6 @@ def _convert_to_hf_core(args, model_name, name, param):
         converted_named_tensors = convert_qwen3_next_to_hf(args, name, param)
     elif "qwen2" in model_name or "qwen3" in model_name:
         converted_named_tensors = convert_qwen2_to_hf(args, name, param)
-    elif "deepseekv3" in model_name:
-        converted_named_tensors = convert_deepseekv3_to_hf(args, name, param)
-
     elif "llama" in model_name:
         converted_named_tensors = convert_llama_to_hf(args, name, param)
     elif "mimo" in model_name:
diff --git a/slime_plugins/mbridge/__init__.py b/slime_plugins/mbridge/__init__.py
index f97c7f46e..18f6fe954 100644
--- a/slime_plugins/mbridge/__init__.py
+++ b/slime_plugins/mbridge/__init__.py
@@ -1,6 +1,7 @@
 from .glm4 import GLM4Bridge
 from .glm4moe import GLM4MoEBridge
+from .glm4moe_lite import GLM4MoELiteBridge
 from .mimo import MimoBridge
 from .qwen3_next import Qwen3NextBridge
 
-__all__ = ["GLM4Bridge", "GLM4MoEBridge", "Qwen3NextBridge", "MimoBridge"]
+__all__ = ["GLM4Bridge", "GLM4MoEBridge", "GLM4MoELiteBridge", "Qwen3NextBridge", "MimoBridge"]
diff --git a/slime_plugins/mbridge/glm4moe_lite.py b/slime_plugins/mbridge/glm4moe_lite.py
new file mode 100644
index 000000000..8306d281a
--- /dev/null
+++ b/slime_plugins/mbridge/glm4moe_lite.py
@@ -0,0 +1,7 @@
+from mbridge.core import register_model
+from mbridge.models import DeepseekV3Bridge
+
+
+@register_model("glm4_moe_lite")
+class GLM4MoELiteBridge(DeepseekV3Bridge):
+    pass