[NPU] chore: bump basic software version to 8.3.rc2 (#14614)

docs/platforms/ascend_npu.md

@@ -18,7 +18,7 @@ conda activate sglang_npu
 
 #### CANN
 
-Prior to start work with SGLang on Ascend you need to install CANN Toolkit, Kernels operator package and NNAL version 8.3.RC1 or higher, check the [installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/83RC1/softwareinst/instg/instg_0008.html?Mode=PmIns&InstallType=local&OS=openEuler&Software=cannToolKit)
+Prior to start work with SGLang on Ascend you need to install CANN Toolkit, Kernels operator package and NNAL version 8.3.RC2 or higher, check the [installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/83RC1/softwareinst/instg/instg_0008.html?Mode=PmIns&InstallType=local&OS=openEuler&Software=cannToolKit)
 
 #### MemFabric Adaptor
 

docs/platforms/ascend_npu_deepseek_example.md

@@ -30,7 +30,7 @@ python3 -m sglang.launch_server \
     --trust-remote-code \
     --attention-backend ascend \
     --device npu \
-    --quantization w8a8_int8 \
+    --quantization modelslim \
     --watchdog-timeout 9000 \
     --host 127.0.0.1 \
     --port 6688 \
@@ -89,7 +89,7 @@ python -m sglang.launch_server \
     --mem-fraction-static 0.6 \
     --attention-backend ascend \
     --device npu \
-    --quantization w8a8_int8 \
+    --quantization modelslim \
     --disaggregation-transfer-backend ascend \
     --max-running-requests 8 \
     --context-length 8192 \
@@ -145,7 +145,7 @@ python -m sglang.launch_server \
     --max-running-requests 352 \
     --attention-backend ascend \
     --device npu \
-    --quantization w8a8_int8 \
+    --quantization modelslim \
     --moe-a2a-backend deepep \
     --enable-dp-attention \
     --deepep-mode low_latency \
@@ -214,7 +214,7 @@ do
       --mem-fraction-static 0.81 \
       --attention-backend ascend \
       --device npu \
-      --quantization w8a8_int8 \
+      --quantization modelslim \
       --disaggregation-transfer-backend ascend \
       --max-running-requests 8 \
       --context-length 8192 \
@@ -275,7 +275,7 @@ do
       --max-running-requests 832 \
       --attention-backend ascend \
       --device npu \
-      --quantization w8a8_int8 \
+      --quantization modelslim \
       --moe-a2a-backend deepep \
       --enable-dp-attention \
       --deepep-mode low_latency \

docs/references/mindspore_models.md

@@ -7,7 +7,7 @@ MindSpore is a high-performance AI framework optimized for Ascend NPUs. This doc
 ## Requirements
 
 MindSpore currently only supports Ascend NPU devices. Users need to first install Ascend CANN software packages.
-The CANN software packages can be downloaded from the [Ascend Official Website](https://www.hiascend.com). The recommended version is 8.3.RC1.
+The CANN software packages can be downloaded from the [Ascend Official Website](https://www.hiascend.com). The recommended version is 8.3.RC2.
 
 ## Supported Models