[shardformer] Support customized policy for llamav2 based model with HybridParallelPlugin (#4624)

* Enable policy assignment in HybridPlugin and enable llama policy for llamav2

* Remove Policy from Plugin

* revert changes of plugin

HybridParallelModule

* revert changes in plugin

* upgrade transformers

* revert transformers version

---------
Co-authored-by: flybird11111 <1829166702@qq.com>

colossalai/shardformer/policies/llama.py

@@ -40,14 +40,20 @@ class LlamaPolicy(Policy):
             self.shard_config.enable_sequence_parallelism = False
             warnings.warn("Llama dosen't support sequence parallelism now, will ignore the sequence parallelism flag.")
 
+
         if self.shard_config.enable_tensor_parallelism:
-            policy[LlamaDecoderLayer] = ModulePolicyDescription(
-                attribute_replacement={
+            decoder_attribute_replacement = {
                 "self_attn.hidden_size":
                     self.model.config.hidden_size // self.shard_config.tensor_parallel_size,
                 "self_attn.num_heads":
                     self.model.config.num_attention_heads // self.shard_config.tensor_parallel_size,
-                },
+            }
+            if getattr(self.model.config, "num_key_value_heads", False):
+                decoder_attribute_replacement["self_attn.num_key_value_heads"] = \
+                    self.model.config.num_key_value_heads // self.shard_config.tensor_parallel_size
+
+            policy[LlamaDecoderLayer] = ModulePolicyDescription(
+                attribute_replacement=decoder_attribute_replacement,
                 sub_module_replacement=[
                     SubModuleReplacementDescription(
                         suffix="self_attn.q_proj",