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[Model] Add cogagent model support vLLM #11742

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merged 4 commits into from
Jan 11, 2025
Merged

[Model] Add cogagent model support vLLM #11742

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ee326af
[model] Add cogagent model support vLLM
sixsixcoder Jan 5, 2025
3c3468a
Merge remote-tracking branch 'upstream/main' into cogagent
Isotr0py Jan 10, 2025
9985244
revert to use get_rope
Isotr0py Jan 10, 2025
7be2618
Merge remote-tracking branch 'upstream/main' into cogagent
Isotr0py Jan 11, 2025
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12 changes: 7 additions & 5 deletions vllm/model_executor/models/chatglm.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# Adapted from
# https://github.com/THUDM/GLM-4
"""Inference-only ChatGLM model compatible with THUDM weights."""
# https://github.com/THUDM/CogAgent
"""Inference-only CogAgent model compatible with THUDM weights."""
from argparse import Namespace
from array import array
from typing import (Dict, Iterable, List, Mapping, Optional, Set, Tuple,
Expand Down Expand Up @@ -201,7 +201,6 @@ def input_processor_for_glmv(ctx: InputContext, inputs: DecoderOnlyInputs):

new_input_ids = []
final_processed_position = 0
final_processed_position = 0

for boi_position, eoi_position in zip(boi_positions, eoi_positions):
assert boi_position < eoi_position
Expand Down Expand Up @@ -275,12 +274,15 @@ def __init__(
# https://huggingface.co/THUDM/chatglm3-6b-32k/blob/e210410255278dd9d74463cf396ba559c0ef801c/modeling_chatglm.py#L141
rope_ratio = getattr(config, "rope_ratio", 1.0)
max_positions = getattr(config, "seq_length", 8192)
# NOTE: THUDM/cogagent-9b-20241220 uses original_rope=False,
# which is equivalent to is_neox_style=True
is_neox_style = not config.original_rope
self.rotary_emb = get_rope(
self.head_dim,
rotary_dim=self.head_dim // 2,
max_position=max_positions,
base=10000 * rope_ratio,
is_neox_style=False,
is_neox_style=is_neox_style,
)
self.attn = Attention(self.num_heads,
self.head_dim,
Expand Down Expand Up @@ -779,4 +781,4 @@ def __new__(
return ChatGLMV(vllm_config=vllm_config, prefix=prefix)
# Initialize LLM
else:
return ChatGLM(vllm_config=vllm_config, prefix=prefix)
return ChatGLM(vllm_config=vllm_config, prefix=prefix)
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