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d593cf28fa020dbae53dae19122aac8aeeeae0bc
vLLM
/
vllm
/
model_executor
/
layers
/
mamba
T
History
Chih-Chieh Yang
73cfb3c5ee
[Model] Clean up and simplify Mamba2 Metadata Usage in both V0 and V1 (
#24331
)
...
Signed-off-by: Chih-Chieh-Yang <
7364402+cyang49@users.noreply.github.com
>
2025-09-16 14:53:43 +00:00
..
ops
[Bugfix] fixes the causal_conv1d_update kernel update non-speculative decoding cases (
#24680
)
2025-09-11 18:16:43 -07:00
__init__.py
[Kernel/Model] Migrate mamba_ssm and causal_conv1d kernels to vLLM (
#7651
)
2024-08-28 15:06:52 -07:00
abstract.py
[Attention] Unify mamba and attention backend selection (
#23171
)
2025-08-25 09:09:36 +00:00
linear_attn.py
[Model] Remove useless code from MiniMax implementation (
#23982
)
2025-09-03 11:27:04 +00:00
mamba2_metadata.py
[Model] Clean up and simplify Mamba2 Metadata Usage in both V0 and V1 (
#24331
)
2025-09-16 14:53:43 +00:00
mamba_mixer2.py
[Model] Clean up and simplify Mamba2 Metadata Usage in both V0 and V1 (
#24331
)
2025-09-16 14:53:43 +00:00
mamba_mixer.py
[Attention] Unify mamba and attention backend selection (
#23171
)
2025-08-25 09:09:36 +00:00
mamba_utils.py
Add the support for the qwen3 next model (a hybrid attention model). (
#24526
)
2025-09-11 15:32:09 +08:00
short_conv.py
[Attention] Unify mamba and attention backend selection (
#23171
)
2025-08-25 09:09:36 +00:00