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Upgrade transformers version to 4.36.0 (#2046)

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Woosuk Kwon 2023-12-11 18:39:14 -08:00 committed by GitHub
parent f3e024bece
commit cb3f30c600
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3 changed files with 5 additions and 5 deletions
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2
requirements-rocm.txt
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@ -10,7 +10,7 @@ numpy
tokenizers>=0.15.0 tokenizers>=0.15.0
huggingface_hub<0.18,>=0.16.4 huggingface_hub<0.18,>=0.16.4
einops # Required for phi-1_5 einops # Required for phi-1_5
transformers >= 4.34.0 # Required for Mistral. transformers >= 4.36.0 # Required for Mixtral.
fastapi fastapi
uvicorn[standard] uvicorn[standard]
pydantic == 1.10.13 # Required for OpenAI server. pydantic == 1.10.13 # Required for OpenAI server.

2
requirements.txt
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@ -7,7 +7,7 @@ sentencepiece # Required for LLaMA tokenizer.
numpy numpy
einops # Required for phi-1_5 einops # Required for phi-1_5
torch >= 2.1.1 torch >= 2.1.1
transformers >= 4.34.0 # Required for Mistral. transformers >= 4.36.0 # Required for Mixtral.
xformers >= 0.0.23 # Required for CUDA 12.1. xformers >= 0.0.23 # Required for CUDA 12.1.
fastapi fastapi
uvicorn[standard] uvicorn[standard]

6
vllm/model_executor/models/mixtral.py
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@ -29,7 +29,7 @@ import torch
import torch.nn.functional as F import torch.nn.functional as F
from torch import nn from torch import nn
from transformers import MistralConfig from transformers import MixtralConfig
try: try:
import megablocks.ops as ops import megablocks.ops as ops
@ -395,7 +395,7 @@ class MixtralDecoderLayer(nn.Module):
def __init__( def __init__(
self, self,
config: MistralConfig, config: MixtralConfig,
) -> None: ) -> None:
super().__init__() super().__init__()
self.hidden_size = config.hidden_size self.hidden_size = config.hidden_size
@ -443,7 +443,7 @@ class MixtralForCausalLM(nn.Module):
def __init__( def __init__(
self, self,
config: MistralConfig, config: MixtralConfig,
linear_method: Optional[LinearMethodBase] = None, linear_method: Optional[LinearMethodBase] = None,
) -> None: ) -> None:
super().__init__() super().__init__()