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42 changes: 31 additions & 11 deletions vllm/model_executor/models/openpangu.py
Original file line number Diff line number Diff line change
Expand Up @@ -86,6 +86,29 @@ def check_ffn_act_fn(act_fn: str):
)


def _normalize_rope_scaling_defaults(
rope_scaling_config: dict[str, Any] | None, max_position_embeddings: int
) -> dict[str, Any]:
"""Return a DeepSeek-YaRN compatible rope_scaling dict."""
rope_scaling = dict(rope_scaling_config) if rope_scaling_config is not None else {}
original_scaling_type = rope_scaling.get("type")

rope_scaling.setdefault("beta_fast", 32)
rope_scaling.setdefault("beta_slow", 1)
rope_scaling.setdefault("factor", 1)
rope_scaling.setdefault("mscale", 1.0)
rope_scaling.setdefault("mscale_all_dim", 1.0)
rope_scaling.setdefault("type", "yarn")
rope_scaling.setdefault("original_max_position_embeddings", max_position_embeddings)
if "rope_type" not in rope_scaling:
if original_scaling_type is not None:
rope_scaling["rope_type"] = original_scaling_type
else:
rope_scaling["rope_type"] = "deepseek_yarn"

return rope_scaling


class OpenPanguMLP(nn.Module):
def __init__(
self,
Expand Down Expand Up @@ -338,17 +361,10 @@ def __init__(
prefix=f"{prefix}.o_proj",
)

# TODO: remove hard coding
rope_scaling = {
"beta_fast": 32,
"beta_slow": 1,
"factor": 1,
"mscale": 1.0,
"mscale_all_dim": 1.0,
"original_max_position_embeddings": max_position_embeddings,
"type": "yarn",
"rope_type": "deepseek_yarn",
}
rope_scaling_config = getattr(config, "rope_scaling", None)
rope_scaling = _normalize_rope_scaling_defaults(
rope_scaling_config, max_position_embeddings
)
self.rotary_emb = get_rope(
qk_rope_head_dim,
rotary_dim=qk_rope_head_dim,
Expand Down Expand Up @@ -529,6 +545,10 @@ def _init_rotary_emb(
if is_gguf and config.model_type == "PanguEmbedded":
is_neox_style = False

rope_scaling = _normalize_rope_scaling_defaults(
rope_scaling, self.max_position_embeddings
)

self.rotary_emb = get_rope(
self.head_dim,
rotary_dim=self.head_dim,
Expand Down