Revert MptConfig to MPTConfig (#1668)

Author: megha95

vllm/model_executor/model_loader.py

@@ -29,8 +29,8 @@
     "LLaMAForCausalLM": LlamaForCausalLM,  # For decapoda-research/llama-*
     "MistralForCausalLM": MistralForCausalLM,
     # transformers's mpt class has lower case
-    "MptForCausalLM": MptForCausalLM,
-    "MPTForCausalLM": MptForCausalLM,
+    "MptForCausalLM": MPTForCausalLM,
+    "MPTForCausalLM": MPTForCausalLM,
     "OPTForCausalLM": OPTForCausalLM,
     "QWenLMHeadModel": QWenLMHeadModel,
     "RWForCausalLM": FalconForCausalLM,

vllm/model_executor/models/__init__.py

@@ -10,7 +10,7 @@
 from vllm.model_executor.models.internlm import InternLMForCausalLM
 from vllm.model_executor.models.llama import LlamaForCausalLM
 from vllm.model_executor.models.mistral import MistralForCausalLM
-from vllm.model_executor.models.mpt import MptForCausalLM
+from vllm.model_executor.models.mpt import MPTForCausalLM
 from vllm.model_executor.models.opt import OPTForCausalLM
 from vllm.model_executor.models.qwen import QWenLMHeadModel
 from vllm.model_executor.models.chatglm import ChatGLMForCausalLM
@@ -29,7 +29,7 @@
     "GPTNeoXForCausalLM",
     "InternLMForCausalLM",
     "LlamaForCausalLM",
-    "MptForCausalLM",
+    "MPTForCausalLM",
     "OPTForCausalLM",
     "QWenLMHeadModel",
     "MistralForCausalLM",

vllm/model_executor/models/mpt.py

@@ -5,7 +5,6 @@
 
 import torch
 import torch.nn as nn
-from transformers import MptConfig
 
 from vllm.model_executor.input_metadata import InputMetadata
 from vllm.model_executor.layers.activation import get_act_fn
@@ -22,6 +21,7 @@
 from vllm.model_executor.weight_utils import (default_weight_loader,
                                               hf_model_weights_iterator)
 from vllm.sequence import SamplerOutput
+from vllm.transformers_utils.configs.mpt import MPTConfig
 
 KVCache = Tuple[torch.Tensor, torch.Tensor]
 
@@ -39,21 +39,21 @@ def _get_alibi_slopes(
     return slopes
 
 
-class MptAttention(nn.Module):
+class MPTAttention(nn.Module):
 
     def __init__(
         self,
-        config: MptConfig,
+        config: MPTConfig,
         linear_method: Optional[LinearMethodBase] = None,
     ):
         super().__init__()
         self.d_model = config.d_model
         self.total_num_heads = config.n_heads
-        self.clip_qkv = config.attn_config.clip_qkv
-        self.qk_ln = config.attn_config.qk_ln
-        self.alibi_bias_max = config.attn_config.alibi_bias_max
-        assert not config.attn_config.prefix_lm
-        assert config.attn_config.alibi
+        self.clip_qkv = config.attn_config["clip_qkv"]
+        self.qk_ln = config.attn_config["qk_ln"]
+        self.alibi_bias_max = config.attn_config["alibi_bias_max"]
+        assert not config.attn_config["prefix_lm"]
+        assert config.attn_config["alibi"]
 
         # pylint: disable=invalid-name
         self.Wqkv = QKVParallelLinear(
@@ -113,11 +113,11 @@ def forward(
         return output
 
 
-class MptMLP(nn.Module):
+class MPTMLP(nn.Module):
 
     def __init__(
         self,
-        config: MptConfig,
+        config: MPTConfig,
         linear_method: Optional[LinearMethodBase] = None,
     ):
         super().__init__()
@@ -145,19 +145,19 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
         return x
 
 
-class MptBlock(nn.Module):
+class MPTBlock(nn.Module):
 
     def __init__(
         self,
-        config: MptConfig,
+        config: MPTConfig,
         linear_method: Optional[LinearMethodBase] = None,
     ):
         super().__init__()
         hidden_size = config.d_model
         self.norm_1 = nn.LayerNorm(hidden_size)
-        self.attn = MptAttention(config, linear_method)
+        self.attn = MPTAttention(config, linear_method)
         self.norm_2 = nn.LayerNorm(hidden_size)
-        self.ffn = MptMLP(config, linear_method)
+        self.ffn = MPTMLP(config, linear_method)
 
     def forward(
         self,
@@ -182,11 +182,11 @@ def forward(
         return hidden_states
 
 
-class MptModel(nn.Module):
+class MPTModel(nn.Module):
 
     def __init__(
         self,
-        config: MptConfig,
+        config: MPTConfig,
         linear_method: Optional[LinearMethodBase] = None,
     ):
         super().__init__()
@@ -198,7 +198,7 @@ def __init__(
             config.d_model,
         )
         self.blocks = nn.ModuleList(
-            [MptBlock(config, linear_method) for _ in range(config.n_layers)])
+            [MPTBlock(config, linear_method) for _ in range(config.n_layers)])
         self.norm_f = nn.LayerNorm(config.d_model)
         if config.no_bias:
             for module in self.modules():
@@ -233,19 +233,19 @@ def forward(
         return hidden_states
 
 
-class MptForCausalLM(nn.Module):
+class MPTForCausalLM(nn.Module):
 
     def __init__(
         self,
-        config: MptConfig,
+        config: MPTConfig,
         linear_method: Optional[LinearMethodBase] = None,
     ):
         super().__init__()
         self.config = config
         assert config.tie_word_embeddings
         self.linear_method = linear_method
 
-        self.transformer = MptModel(config, linear_method)
+        self.transformer = MPTModel(config, linear_method)
         self.lm_head_weight = self.transformer.wte.weight
         self.sampler = Sampler(config.vocab_size)
 

vllm/transformers_utils/config.py

@@ -1,14 +1,14 @@
 from typing import Optional
 
-from transformers import AutoConfig, MptConfig, PretrainedConfig
+from transformers import AutoConfig, PretrainedConfig
 
 from vllm.transformers_utils.configs import *  # pylint: disable=wildcard-import
 
 _CONFIG_REGISTRY = {
     "aquila": AquilaConfig,
     "baichuan": BaiChuanConfig,
     "chatglm": ChatGLMConfig,
-    "mpt": MptConfig,
+    "mpt": MPTConfig,
     "qwen": QWenConfig,
     "RefinedWeb": RWConfig,  # For tiiuae/falcon-40b(-instruct)
     "RefinedWebModel": RWConfig,  # For tiiuae/falcon-7b(-instruct)

vllm/transformers_utils/configs/__init__.py

@@ -1,6 +1,7 @@
 from vllm.transformers_utils.configs.aquila import AquilaConfig
 from vllm.transformers_utils.configs.baichuan import BaiChuanConfig
 from vllm.transformers_utils.configs.chatglm import ChatGLMConfig
+from vllm.transformers_utils.configs.mpt import MPTConfig
 from vllm.transformers_utils.configs.qwen import QWenConfig
 # RWConfig is for the original tiiuae/falcon-40b(-instruct) and
 # tiiuae/falcon-7b(-instruct) models. Newer Falcon models will use the
@@ -12,6 +13,7 @@
     "AquilaConfig",
     "BaiChuanConfig",
     "ChatGLMConfig",
+    "MPTConfig",
     "QWenConfig",
     "RWConfig",
     "YiConfig",