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Update rope_scaling to rope_parameters in preparation for Transformers v5 (#28542)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-11-19 18:06:36 +01:00
committed by GitHub
parent d44e9df7d4
commit a8b70304d6
104 changed files with 542 additions and 910 deletions
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11
vllm/model_executor/models/qwen.py
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@@ -83,8 +83,7 @@ class QWenAttention(nn.Module):
hidden_size: int,
num_heads: int,
max_position_embeddings: int,
rope_theta: float = 10000,
rope_scaling: dict[str, Any] | None = None,
rope_parameters: dict[str, Any] | None = None,
cache_config: CacheConfig | None = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
@@ -117,8 +116,7 @@ class QWenAttention(nn.Module):
self.head_dim,
rotary_dim=self.head_dim,
max_position=max_position_embeddings,
base=rope_theta,
rope_scaling=rope_scaling,
rope_parameters=rope_parameters,
)
self.attn = Attention(
self.num_heads,
@@ -153,14 +151,11 @@ class QWenBlock(nn.Module):
super().__init__()
self.ln_1 = RMSNorm(config.hidden_size, eps=config.layer_norm_epsilon)
rope_theta = getattr(config, "rope_theta", 10000)
rope_scaling = getattr(config, "rope_scaling", None)
self.attn = QWenAttention(
config.hidden_size,
config.num_attention_heads,
config.max_position_embeddings,
rope_theta=rope_theta,
rope_scaling=rope_scaling,
rope_parameters=config.rope_parameters,
cache_config=cache_config,
quant_config=quant_config,
prefix=f"{prefix}.attn",