(Ubuntu x86_64) Segmentation Fault Running Q4_1_O Model

[cryscan]

System: Ubuntu 20.04.6 LTS
GCC: 9.4.0
CPU: Intel(R) Xeon(R) Platinum 8358P

Issue:

$ python rwkv/chat_with_bot.py /path/to/models/Raven-14B-v9-Q4.bin 
Loading 20B tokenizer
System info: AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | 
Loading RWKV model
Processing 92 prompt tokens, may take a while
Segmentation fault (core dumped)

[saharNooby]

Can it be reproduced with 169M model?

[BuilderGuy1]

I'm having the same issue with Apple Silicon. I tested latest 14B & 7B, each with all 3 quantization options. I also tried with 3B v10 Q4_1_0.

[dmahurin]

Same issue on Apple M2, with all revisions with the Q4_1_0. Tried 3B and 169M.

[poisson-fish]

confirm this issue under Arch WSL with RWKV-4-Raven-14B-v9-Eng99%-Other1%-20230412-ctx8192_q4_1_0.bin

[L-M-Sherlock]

I also encounter this problem in my mac m1. Tried 7B and 3B. It occurred before Processing 92 prompt tokens.

[saharNooby]

Probably address misalignment. I'm working on it in #33

[saharNooby]

Alignment fix merged. Please clone the repo from scratch and try again:

git clone --recursive https://github.com/saharNooby/rwkv.cpp.git

[L-M-Sherlock]

Thanks! #33 solved my problem. But another bug appeared. The bot only repeats,> Bob: Hello, Bob..

python rwkv/convert_pytorch_to_ggml.py ./RWKV-4-Raven-3B-v9x-Eng49%-Chn50%-Other1%-20230417-ctx4096.pth ./rwkv.cpp-3B.bin float16
python rwkv/quantize.py ./rwkv.cpp-3B.bin ./rwkv.cpp-3B-Q4_1_0.bin 4
python rwkv/chat_with_bot.py ./rwkv.cpp-3B-Q4_1_0.bin

[saharNooby]

@BuilderGuy1 @poisson-fish @dmahurin If possible, can you also confirm that segfault is fixed? (please clone from scratch or don't forget to update git submodules)

@L-M-Sherlock Thanks for the input. Looks like default prompt is not good for Raven, related issue is #22

[dmahurin]

Thanks @saharNooby. It works now on Apple M2 with 3B and 169M.

It also works with rwkv-4_raven-7b-v9 and rwkv-4_raven-14b-v9, though 14b is slow on M2.

[saharNooby]

Thanks for testing it!

[poisson-fish]

sorry for late reply @saharNooby, the previous crash is fixed however now I get SIGSEGV:

python rwkv/chat_with_bot.py ./build/models/RWKV/RWKV-4-Raven-14B-v9-Eng99\%-Other1\%-20230412-ctx8192_q4_1
_0.bin
Loading 20B tokenizer
System info: AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |
Loading RWKV model
Processing 92 prompt tokens, may take a while
~/Documents/Projects/cpp/llamapi/rwkv.cpp/rwkv/rwkv_cpp_model.py:100: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  state_out.storage().data_ptr(),
~/Documents/Projects/cpp/llamapi/rwkv.cpp/rwkv/rwkv_cpp_model.py:101: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  logits_out.storage().data_ptr()
fish: Job 1, 'python rwkv/chat_with_bot.py ./…' terminated by signal SIGSEGV (Address boundary error)

can open new issue if necessary.

edit: disregard, required a submodule update and works now