[Fix] fix lint in lmdeploy_mistral - #2571 (#2571)

Author: Myhs-phz

configs/models/mistral/lmdeploy_mistral_large_instruct_2407.py

@@ -11,7 +11,10 @@
             tp=4,
             cache_max_entry_count=0.7,
         ),
-        gen_config=dict(top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096),
+        gen_config=dict(top_k=1,
+                        temperature=1e-6,
+                        top_p=0.9,
+                        max_new_tokens=4096),
         max_seq_len=32768,
         max_out_len=4096,
         batch_size=8,

configs/models/mistral/lmdeploy_mistral_large_instruct_2411.py

@@ -11,7 +11,10 @@
             tp=4,
             cache_max_entry_count=0.7,
         ),
-        gen_config=dict(top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096),
+        gen_config=dict(top_k=1,
+                        temperature=1e-6,
+                        top_p=0.9,
+                        max_new_tokens=4096),
         max_seq_len=32768,
         max_out_len=4096,
         batch_size=8,

configs/models/mistral/lmdeploy_mistral_nemo_instruct_2407.py

@@ -6,7 +6,10 @@
         abbr='mistral-nemo-instruct-2407-turbomind',
         path='mistralai/Mistral-Nemo-Instruct-2407',
         engine_config=dict(session_len=32768, max_batch_size=16, tp=1),
-        gen_config=dict(top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096),
+        gen_config=dict(top_k=1,
+                        temperature=1e-6,
+                        top_p=0.9,
+                        max_new_tokens=4096),
         max_seq_len=32768,
         max_out_len=4096,
         batch_size=16,

configs/models/mistral/lmdeploy_mistral_small_instruct_2409.py

@@ -6,7 +6,10 @@
         abbr='mistral-small-instruct-2409-turbomind',
         path='mistralai/Mistral-Small-Instruct-2409',
         engine_config=dict(session_len=32768, max_batch_size=16, tp=2),
-        gen_config=dict(top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096),
+        gen_config=dict(top_k=1,
+                        temperature=1e-6,
+                        top_p=0.9,
+                        max_new_tokens=4096),
         max_seq_len=32768,
         max_out_len=4096,
         batch_size=16,