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[Interleaved ATTN] Support for Mistral-8B (#10591)

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Signed-off-by: youkaichao <youkaichao@gmail.com>
Co-authored-by: youkaichao <youkaichao@gmail.com>
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Patrick von Platen 2024-11-30 08:45:50 +01:00 committed by GitHub
parent 16ee07f22a
commit e7cfc4ef4c
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1 changed files with 15 additions and 1 deletions
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16
vllm/model_executor/models/llama.py
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@ -54,7 +54,7 @@ from vllm.sequence import IntermediateTensors, PoolerOutput
from .interfaces import SupportsLoRA, SupportsPP from .interfaces import SupportsLoRA, SupportsPP
from .utils import (AutoWeightsLoader, PPMissingLayer, WeightsMapper, from .utils import (AutoWeightsLoader, PPMissingLayer, WeightsMapper,
is_pp_missing_parameter, extract_layer_index, is_pp_missing_parameter,
make_empty_intermediate_tensors_factory, make_layers, make_empty_intermediate_tensors_factory, make_layers,
maybe_prefix) maybe_prefix)
@ -114,6 +114,7 @@ class LlamaAttention(nn.Module):
prefix: str = "", prefix: str = "",
) -> None: ) -> None:
super().__init__() super().__init__()
layer_idx = extract_layer_index(prefix)
self.hidden_size = hidden_size self.hidden_size = hidden_size
tp_size = get_tensor_model_parallel_world_size() tp_size = get_tensor_model_parallel_world_size()
self.total_num_heads = num_heads self.total_num_heads = num_heads
@ -168,6 +169,18 @@ class LlamaAttention(nn.Module):
rope_scaling=rope_scaling, rope_scaling=rope_scaling,
is_neox_style=is_neox_style, is_neox_style=is_neox_style,
) )
if hasattr(config, "interleaved_sliding_window"):
if isinstance(config.interleaved_sliding_window, int):
sliding_window = config.interleaved_sliding_window
elif isinstance(config.interleaved_sliding_window, list):
sw_idx = layer_idx % len(config.interleaved_sliding_window)
sliding_window = config.interleaved_sliding_window[sw_idx]
else:
raise ValueError(f"{type(sliding_window)} is not supported.")
else:
sliding_window = None
self.attn = Attention( self.attn = Attention(
self.num_heads, self.num_heads,
self.head_dim, self.head_dim,
@ -175,6 +188,7 @@ class LlamaAttention(nn.Module):
num_kv_heads=self.num_kv_heads, num_kv_heads=self.num_kv_heads,
cache_config=cache_config, cache_config=cache_config,
quant_config=quant_config, quant_config=quant_config,
per_layer_sliding_window=sliding_window,
prefix=f"{prefix}.attn", prefix=f"{prefix}.attn",
) )