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OpenDAS
vllm_cscc
Commits
bb67a24c
Commit
bb67a24c
authored
Nov 13, 2025
by
王敏
Browse files
Merge remote-tracking branch 'origin/v0.11.0-dev' into v0.11.0-dev
parents
f687d53c
81eaff62
Changes
2
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2 changed files
with
4 additions
and
6 deletions
+4
-6
vllm/model_executor/models/config.py
vllm/model_executor/models/config.py
+2
-2
vllm/model_executor/models/deepseek_v2.py
vllm/model_executor/models/deepseek_v2.py
+2
-4
No files found.
vllm/model_executor/models/config.py
View file @
bb67a24c
...
@@ -410,8 +410,8 @@ class DeepseekV32ForCausalLM(VerifyAndUpdateConfig):
...
@@ -410,8 +410,8 @@ class DeepseekV32ForCausalLM(VerifyAndUpdateConfig):
hf_config
=
vllm_config
.
model_config
.
hf_config
hf_config
=
vllm_config
.
model_config
.
hf_config
# Mirror the check in vllm/model_executor/models/deepseek_v2.py
# Mirror the check in vllm/model_executor/models/deepseek_v2.py
#
is_v32 = hasattr(hf_config, "index_topk")
is_v32
=
hasattr
(
hf_config
,
"index_topk"
)
#
assert is_v32
assert
is_v32
# For DeepSeekV3.2, we use a custom fp8 format as default (i.e.
# For DeepSeekV3.2, we use a custom fp8 format as default (i.e.
# "auto")
# "auto")
...
...
vllm/model_executor/models/deepseek_v2.py
View file @
bb67a24c
...
@@ -954,8 +954,7 @@ class DeepseekV2MLAAttention(nn.Module):
...
@@ -954,8 +954,7 @@ class DeepseekV2MLAAttention(nn.Module):
mscale
=
yarn_get_mscale
(
scaling_factor
,
float
(
mscale_all_dim
))
mscale
=
yarn_get_mscale
(
scaling_factor
,
float
(
mscale_all_dim
))
self
.
scaling
=
self
.
scaling
*
mscale
*
mscale
self
.
scaling
=
self
.
scaling
*
mscale
*
mscale
# self.is_v32 = hasattr(config, "index_topk")
self
.
is_v32
=
hasattr
(
config
,
"index_topk"
)
self
.
is_v32
=
False
if
self
.
is_v32
:
if
self
.
is_v32
:
self
.
indexer
=
Indexer
(
vllm_config
,
config
,
hidden_size
,
self
.
indexer
=
Indexer
(
vllm_config
,
config
,
hidden_size
,
...
@@ -1176,8 +1175,7 @@ class DeepseekV2Model(nn.Module):
...
@@ -1176,8 +1175,7 @@ class DeepseekV2Model(nn.Module):
self
.
config
=
config
self
.
config
=
config
self
.
vocab_size
=
config
.
vocab_size
self
.
vocab_size
=
config
.
vocab_size
# self.is_v32 = hasattr(config, "index_topk")
self
.
is_v32
=
hasattr
(
config
,
"index_topk"
)
self
.
is_v32
=
False
if
self
.
is_v32
:
if
self
.
is_v32
:
topk_tokens
=
config
.
index_topk
topk_tokens
=
config
.
index_topk
topk_indices_buffer
=
torch
.
empty
(
topk_indices_buffer
=
torch
.
empty
(
...
...
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