Files
agentic-kvc/third_party/vllm/vllm/model_executor/models/glm.py
Gahow Wang 445e491123 Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-22 00:30:38 +08:00

25 lines
1.1 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Inference-only HF format GLM-4 model compatible with THUDM weights."""
from vllm.config import VllmConfig
from vllm.model_executor.models.llama import LlamaForCausalLM
from .utils import PPMissingLayer
class GlmForCausalLM(LlamaForCausalLM):
def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
hf_config = vllm_config.model_config.hf_config
hf_config.rope_parameters["partial_rotary_factor"] = 0.5
super().__init__(vllm_config=vllm_config, prefix=prefix)
# Hack Llama model to fit HF format GLM implementation
# Attention difference between GLM and Llama:
# 1. Half partial rotary_dim and no Neox style.
# 2. There is no bias for o_proj in attention
for layer in self.model.layers:
if not isinstance(layer, PPMissingLayer):
layer.self_attn.rotary_emb.is_neox_style = False
layer.self_attn.o_proj.bias = None
layer.self_attn.o_proj.skip_bias_add = True