[GH-ISSUE #1758] GLM-4.6V MOE_INT8 #1109

Open
opened 2026-10-29 14:48:39 +00:00 by bsakaguchi · 1 comment
Owner

Originally created by @puffinjiang on GitHub (Dec 26, 2025).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/1758

Originally assigned to: @ovowei on GitHub.

Reminder

  • I have read the above rules and searched the existing issues.

System Info

cpu:

Architecture:             x86_64
  CPU op-mode(s):         32-bit, 64-bit
  Address sizes:          46 bits physical, 57 bits virtual
  Byte Order:             Little Endian
CPU(s):                   64
  On-line CPU(s) list:    0-63
Vendor ID:                AuthenticAMD
  Model name:             AMD EPYC 9354 32-Core Processor
    CPU family:           25
    Model:                17
    Thread(s) per core:   2
    Core(s) per socket:   32
    Socket(s):            1
    Stepping:             1
    Frequency boost:      enabled
    CPU max MHz:          3250.0000
    CPU min MHz:          1500.0000
    BogoMIPS:             6499.96

GPU

nvidia-smi
Fri Dec 26 21:48:22 2025       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.105.08             Driver Version: 580.105.08     CUDA Version: 13.0     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce RTX 3090        On  |   00000000:01:00.0 Off |                  N/A |
| 34%   26C    P8             25W /  350W |      18MiB /  24576MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
|   1  NVIDIA GeForce RTX 3090        On  |   00000000:02:00.0  On |                  N/A |
| 43%   51C    P2            118W /  350W |     675MiB /  24576MiB |      9%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

dep

kt-kernel: 0.4.4
slang: 0.5.6.post2, apply the https://github.com/sgl-project/sglang/pull/14662
transformers: 5.0.0rc1

Reproduction

launch command:

python -m sglang.launch_server --host 0.0.0.0 --port 8000 --trust-remote-code --mem-fraction-static 0.85 --chunked-prefill-size 4096 --served-model-name GLM-4.6V --enable-mixed-chunk  --kt-weight-path /home/ubuntu/Documents/models/GLM-4.6V-MOE-INT8   --model-path /home/ubuntu/Documents/models/GLM-4.6V   --kt-cpuinfer 30  --kt-threadpool-count 1   --kt-num-gpu-experts 1   --kt-max-deferred-experts-per-token 1 --kt-method MOE_INT8

error info:

[2025-12-26 21:59:24] Multimodal attention backend not set. Use triton_attn.
[2025-12-26 21:59:24] Using triton_attn as multimodal attention backend.
Loading safetensors checkpoint shards:   0% Completed | 0/41 [00:00<?, ?it/s]
Loading safetensors checkpoint shards:   7% Completed | 3/41 [00:00<00:01, 21.04it/s]
Loading safetensors checkpoint shards:  15% Completed | 6/41 [00:00<00:01, 17.61it/s]
Loading safetensors checkpoint shards:  20% Completed | 8/41 [00:00<00:01, 16.68it/s]
Loading safetensors checkpoint shards:  24% Completed | 10/41 [00:00<00:01, 15.82it/s]
Loading safetensors checkpoint shards:  29% Completed | 12/41 [00:00<00:02, 13.15it/s]
Loading safetensors checkpoint shards:  34% Completed | 14/41 [00:00<00:01, 14.71it/s]
Loading safetensors checkpoint shards:  39% Completed | 16/41 [00:01<00:01, 16.01it/s]
Loading safetensors checkpoint shards:  44% Completed | 18/41 [00:01<00:01, 15.98it/s]
Loading safetensors checkpoint shards:  49% Completed | 20/41 [00:01<00:01, 16.69it/s]
Loading safetensors checkpoint shards:  54% Completed | 22/41 [00:01<00:01, 11.38it/s]
Loading safetensors checkpoint shards:  59% Completed | 24/41 [00:01<00:01, 13.08it/s]
Loading safetensors checkpoint shards:  63% Completed | 26/41 [00:01<00:01, 14.59it/s]
Loading safetensors checkpoint shards:  68% Completed | 28/41 [00:01<00:00, 15.38it/s]
Loading safetensors checkpoint shards:  73% Completed | 30/41 [00:01<00:00, 15.96it/s]
Loading safetensors checkpoint shards:  78% Completed | 32/41 [00:02<00:00, 16.76it/s]
Loading safetensors checkpoint shards:  83% Completed | 34/41 [00:02<00:00, 17.60it/s]
Loading safetensors checkpoint shards:  88% Completed | 36/41 [00:02<00:00, 17.44it/s]
Loading safetensors checkpoint shards:  95% Completed | 39/41 [00:02<00:00, 18.39it/s]
Loading safetensors checkpoint shards: 100% Completed | 41/41 [00:02<00:00, 11.53it/s]
Loading safetensors checkpoint shards: 100% Completed | 41/41 [00:02<00:00, 14.67it/s]

TP MOE layer 1, pool: 0x47814860, expert num: 129, num_experts_per_tok: 9
  Creating AMD_MOE_TP 0 at numa 0
TP Load from loader
Fatal Python error: Segmentation fault

Thread 0x00007a992ffff640 (most recent call first):
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 331 in wait
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 629 in wait
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/site-packages/tqdm/_monitor.py", line 60 in run
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 1045 in _bootstrap_inner
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 1002 in _bootstrap

Thread 0x00007ab9f3e20740 (most recent call first):
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/site-packages/kt_kernel/utils/moe_kernel.py", line 306 in load_weights
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/layers/moe/kt_ep_wrapper.py", line 258 in process_weights_after_loading
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_loader/loader.py", line 657 in load_weights_and_postprocess
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_loader/loader.py", line 638 in load_model
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 900 in load_model
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 432 in initialize
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 355 in __init__
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/tp_worker.py", line 253 in __init__
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 471 in init_model_worker
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 333 in __init__
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 2903 in run_scheduler_process
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/process.py", line 108 in run
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/spawn.py", line 135 in _main
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/spawn.py", line 122 in spawn_main
  File "<string>", line 1 in <module>

Extension modules: numpy._core._multiarray_umath, numpy.linalg._umath_linalg, pybase64._pybase64, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, multidict._multidict, yarl._quoting_c, propcache._helpers_c, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket.mask, aiohttp._websocket.reader_c, frozenlist._frozenlist, torch._C, torch._C._dynamo.autograd_compiler, torch._C._dynamo.eval_frame, torch._C._dynamo.guards, torch._C._dynamo.utils, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, psutil._psutil_linux, zmq.backend.cython._zmq, PIL._imaging, sentencepiece._sentencepiece, regex._regex, yaml._yaml, markupsafe._speedups, cuda_utils, PIL._imagingft, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._pcg64, numpy.random._generator, numpy.random._mt19937, numpy.random._philox, numpy.random._sfc64, numpy.random.mtrand, _cffi_backend, scipy._lib._ccallback_c, scipy.linalg._fblas, scipy.linalg._flapack, _cyutility, scipy._cyutility, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_schur_sqrtm, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._slsqplib, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy._lib._uarray._uarray, scipy.special._ufuncs_cxx, scipy.special._ellip_harm_2, scipy.special._special_ufuncs, scipy.special._gufuncs, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._hausdorff, scipy.spatial._distance_wrap, scipy.spatial.transform._rotation, scipy.spatial.transform._rigid_transform, scipy.optimize._direct, setproctitle._setproctitle, cuda.bindings._bindings.cydriver, cuda.bindings.cydriver, cuda.bindings.driver, tvm_ffi.core, msgspec._core, cuda.bindings._bindings.cynvrtc, cuda.bindings.cynvrtc, cuda.bindings.nvrtc, cuda.bindings._bindings.cyruntime_ptds, cuda.bindings._bindings.cyruntime, cuda.bindings.cyruntime, cuda.bindings.runtime (total: 109)
load from safetensor!!!!!!! Segfault encountered !!!!!!!
  File "./signal/../sysdeps/unix/sysv/linux/x86_64/libc_sigaction.c", line 0, in 0x00007ab9f3a4251f
  File "./nptl/pthread_kill.c", line 44, in __pthread_kill_implementation
  File "./nptl/pthread_kill.c", line 78, in __pthread_kill_internal
  File "./nptl/pthread_kill.c", line 89, in __GI___pthread_kill
  File "../sysdeps/posix/raise.c", line 26, in __GI_raise
  File "./signal/../sysdeps/unix/sysv/linux/x86_64/libc_sigaction.c", line 0, in 0x00007ab9f3a4251f
  File "../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.S", line 317, in __memmove_avx512_unaligned_erms
  File "../../../../../libstdc++-v3/src/c++11/thread.cc", line 104, in execute_native_thread_routine
  File "./nptl/pthread_create.c", line 442, in start_thread
  File "../sysdeps/unix/sysv/linux/x86_64/clone3.S", line 81, in __GI___clone3
  File "<unknown>", line 0, in 0xffffffffffffffff

[2025-12-26 21:59:28] Rank 0 scheduler is dead. Please check if there are relevant logs.
[2025-12-26 21:59:28] Exit code: -11
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/home/ubuntu/Documents/sglang/python/sglang/launch_server.py", line 32, in <module>
    run_server(server_args)
  File "/home/ubuntu/Documents/sglang/python/sglang/launch_server.py", line 25, in run_server
    launch_server(server_args)
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/entrypoints/http_server.py", line 1692, in launch_server
    _launch_subprocesses(
  File "/home/ubuntu/Documents/sglang/python/sglang/srt/entrypoints/engine.py", line 966, in _launch_subprocesses
    data = scheduler_pipe_readers[i].recv()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 250, in recv
    buf = self._recv_bytes()
          ^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 430, in _recv_bytes
    buf = self._recv(4)
          ^^^^^^^^^^^^^
  File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 399, in _recv
    raise EOFError
EOFError

Others

No response

Originally created by @puffinjiang on GitHub (Dec 26, 2025). Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/1758 Originally assigned to: @ovowei on GitHub. ### Reminder - [x] I have read the above rules and searched the existing issues. ### System Info ## cpu: ``` Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 64 On-line CPU(s) list: 0-63 Vendor ID: AuthenticAMD Model name: AMD EPYC 9354 32-Core Processor CPU family: 25 Model: 17 Thread(s) per core: 2 Core(s) per socket: 32 Socket(s): 1 Stepping: 1 Frequency boost: enabled CPU max MHz: 3250.0000 CPU min MHz: 1500.0000 BogoMIPS: 6499.96 ``` ## GPU ``` nvidia-smi Fri Dec 26 21:48:22 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.105.08 Driver Version: 580.105.08 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3090 On | 00000000:01:00.0 Off | N/A | | 34% 26C P8 25W / 350W | 18MiB / 24576MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 3090 On | 00000000:02:00.0 On | N/A | | 43% 51C P2 118W / 350W | 675MiB / 24576MiB | 9% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ ``` ## dep kt-kernel: 0.4.4 slang: 0.5.6.post2, apply the https://github.com/sgl-project/sglang/pull/14662 transformers: 5.0.0rc1 ### Reproduction launch command: ```shell python -m sglang.launch_server --host 0.0.0.0 --port 8000 --trust-remote-code --mem-fraction-static 0.85 --chunked-prefill-size 4096 --served-model-name GLM-4.6V --enable-mixed-chunk --kt-weight-path /home/ubuntu/Documents/models/GLM-4.6V-MOE-INT8 --model-path /home/ubuntu/Documents/models/GLM-4.6V --kt-cpuinfer 30 --kt-threadpool-count 1 --kt-num-gpu-experts 1 --kt-max-deferred-experts-per-token 1 --kt-method MOE_INT8 ``` error info: ```text [2025-12-26 21:59:24] Multimodal attention backend not set. Use triton_attn. [2025-12-26 21:59:24] Using triton_attn as multimodal attention backend. Loading safetensors checkpoint shards: 0% Completed | 0/41 [00:00<?, ?it/s] Loading safetensors checkpoint shards: 7% Completed | 3/41 [00:00<00:01, 21.04it/s] Loading safetensors checkpoint shards: 15% Completed | 6/41 [00:00<00:01, 17.61it/s] Loading safetensors checkpoint shards: 20% Completed | 8/41 [00:00<00:01, 16.68it/s] Loading safetensors checkpoint shards: 24% Completed | 10/41 [00:00<00:01, 15.82it/s] Loading safetensors checkpoint shards: 29% Completed | 12/41 [00:00<00:02, 13.15it/s] Loading safetensors checkpoint shards: 34% Completed | 14/41 [00:00<00:01, 14.71it/s] Loading safetensors checkpoint shards: 39% Completed | 16/41 [00:01<00:01, 16.01it/s] Loading safetensors checkpoint shards: 44% Completed | 18/41 [00:01<00:01, 15.98it/s] Loading safetensors checkpoint shards: 49% Completed | 20/41 [00:01<00:01, 16.69it/s] Loading safetensors checkpoint shards: 54% Completed | 22/41 [00:01<00:01, 11.38it/s] Loading safetensors checkpoint shards: 59% Completed | 24/41 [00:01<00:01, 13.08it/s] Loading safetensors checkpoint shards: 63% Completed | 26/41 [00:01<00:01, 14.59it/s] Loading safetensors checkpoint shards: 68% Completed | 28/41 [00:01<00:00, 15.38it/s] Loading safetensors checkpoint shards: 73% Completed | 30/41 [00:01<00:00, 15.96it/s] Loading safetensors checkpoint shards: 78% Completed | 32/41 [00:02<00:00, 16.76it/s] Loading safetensors checkpoint shards: 83% Completed | 34/41 [00:02<00:00, 17.60it/s] Loading safetensors checkpoint shards: 88% Completed | 36/41 [00:02<00:00, 17.44it/s] Loading safetensors checkpoint shards: 95% Completed | 39/41 [00:02<00:00, 18.39it/s] Loading safetensors checkpoint shards: 100% Completed | 41/41 [00:02<00:00, 11.53it/s] Loading safetensors checkpoint shards: 100% Completed | 41/41 [00:02<00:00, 14.67it/s] TP MOE layer 1, pool: 0x47814860, expert num: 129, num_experts_per_tok: 9 Creating AMD_MOE_TP 0 at numa 0 TP Load from loader Fatal Python error: Segmentation fault Thread 0x00007a992ffff640 (most recent call first): File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 331 in wait File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 629 in wait File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/site-packages/tqdm/_monitor.py", line 60 in run File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 1045 in _bootstrap_inner File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/threading.py", line 1002 in _bootstrap Thread 0x00007ab9f3e20740 (most recent call first): File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/site-packages/kt_kernel/utils/moe_kernel.py", line 306 in load_weights File "/home/ubuntu/Documents/sglang/python/sglang/srt/layers/moe/kt_ep_wrapper.py", line 258 in process_weights_after_loading File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_loader/loader.py", line 657 in load_weights_and_postprocess File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_loader/loader.py", line 638 in load_model File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 900 in load_model File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 432 in initialize File "/home/ubuntu/Documents/sglang/python/sglang/srt/model_executor/model_runner.py", line 355 in __init__ File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/tp_worker.py", line 253 in __init__ File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 471 in init_model_worker File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 333 in __init__ File "/home/ubuntu/Documents/sglang/python/sglang/srt/managers/scheduler.py", line 2903 in run_scheduler_process File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/process.py", line 108 in run File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/spawn.py", line 135 in _main File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/spawn.py", line 122 in spawn_main File "<string>", line 1 in <module> Extension modules: numpy._core._multiarray_umath, numpy.linalg._umath_linalg, pybase64._pybase64, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, multidict._multidict, yarl._quoting_c, propcache._helpers_c, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket.mask, aiohttp._websocket.reader_c, frozenlist._frozenlist, torch._C, torch._C._dynamo.autograd_compiler, torch._C._dynamo.eval_frame, torch._C._dynamo.guards, torch._C._dynamo.utils, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, psutil._psutil_linux, zmq.backend.cython._zmq, PIL._imaging, sentencepiece._sentencepiece, regex._regex, yaml._yaml, markupsafe._speedups, cuda_utils, PIL._imagingft, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._pcg64, numpy.random._generator, numpy.random._mt19937, numpy.random._philox, numpy.random._sfc64, numpy.random.mtrand, _cffi_backend, scipy._lib._ccallback_c, scipy.linalg._fblas, scipy.linalg._flapack, _cyutility, scipy._cyutility, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_schur_sqrtm, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._slsqplib, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy._lib._uarray._uarray, scipy.special._ufuncs_cxx, scipy.special._ellip_harm_2, scipy.special._special_ufuncs, scipy.special._gufuncs, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._hausdorff, scipy.spatial._distance_wrap, scipy.spatial.transform._rotation, scipy.spatial.transform._rigid_transform, scipy.optimize._direct, setproctitle._setproctitle, cuda.bindings._bindings.cydriver, cuda.bindings.cydriver, cuda.bindings.driver, tvm_ffi.core, msgspec._core, cuda.bindings._bindings.cynvrtc, cuda.bindings.cynvrtc, cuda.bindings.nvrtc, cuda.bindings._bindings.cyruntime_ptds, cuda.bindings._bindings.cyruntime, cuda.bindings.cyruntime, cuda.bindings.runtime (total: 109) load from safetensor!!!!!!! Segfault encountered !!!!!!! File "./signal/../sysdeps/unix/sysv/linux/x86_64/libc_sigaction.c", line 0, in 0x00007ab9f3a4251f File "./nptl/pthread_kill.c", line 44, in __pthread_kill_implementation File "./nptl/pthread_kill.c", line 78, in __pthread_kill_internal File "./nptl/pthread_kill.c", line 89, in __GI___pthread_kill File "../sysdeps/posix/raise.c", line 26, in __GI_raise File "./signal/../sysdeps/unix/sysv/linux/x86_64/libc_sigaction.c", line 0, in 0x00007ab9f3a4251f File "../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.S", line 317, in __memmove_avx512_unaligned_erms File "../../../../../libstdc++-v3/src/c++11/thread.cc", line 104, in execute_native_thread_routine File "./nptl/pthread_create.c", line 442, in start_thread File "../sysdeps/unix/sysv/linux/x86_64/clone3.S", line 81, in __GI___clone3 File "<unknown>", line 0, in 0xffffffffffffffff [2025-12-26 21:59:28] Rank 0 scheduler is dead. Please check if there are relevant logs. [2025-12-26 21:59:28] Exit code: -11 Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "/home/ubuntu/Documents/sglang/python/sglang/launch_server.py", line 32, in <module> run_server(server_args) File "/home/ubuntu/Documents/sglang/python/sglang/launch_server.py", line 25, in run_server launch_server(server_args) File "/home/ubuntu/Documents/sglang/python/sglang/srt/entrypoints/http_server.py", line 1692, in launch_server _launch_subprocesses( File "/home/ubuntu/Documents/sglang/python/sglang/srt/entrypoints/engine.py", line 966, in _launch_subprocesses data = scheduler_pipe_readers[i].recv() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() ^^^^^^^^^^^^^^^^^^ File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 430, in _recv_bytes buf = self._recv(4) ^^^^^^^^^^^^^ File "/home/ubuntu/anaconda3/envs/kt-kernel/lib/python3.11/multiprocessing/connection.py", line 399, in _recv raise EOFError EOFError ``` ### Others _No response_
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@ovowei commented on GitHub (Jan 22, 2026):

please try the latest version

<!-- gh-comment-id:3783937137 --> @ovowei commented on GitHub (Jan 22, 2026): please try the latest version
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kvcache-ai/ktransformers#1109
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