* Work towards removing bitcast
* Move rest of existing types over
* Add timeout back to wait and remove synchronous set_tensor/memset_tensor
* move to unpackf16 for wider compatibility
* cleanup
* Remove deadlock condition in free_bufs
* Start work on removing parameter buffer pools
* Simplify and optimize further
* simplify profile futures
* Fix stride
* Try using a single command buffer per batch
* formatting
* Add parameters for different browsers in-flight submissions
* Update handling of batch size too
* Throttle ios as much as possible
* Increase timeout for llvm-pipe testing
* unicode : add custom Qwen2 regex handler to fix segfault on long input
std::regex uses recursive backtracking internally, which causes a stack
overflow (segfault) when tokenizing long sequences of repeated characters
(e.g. 43K 'A's). The Qwen2 tokenizer regex differs from Llama3 only in
the digit pattern (\p{N} vs \p{N}{1,3}), so it was falling through to
the std::regex fallback path instead of using a custom handler.
Add unicode_regex_split_custom_qwen2() following the established pattern
used by gpt2, llama3, kimi_k2, and afmoe custom handlers.
Closes: https://github.com/ggml-org/llama.cpp/issues/21113
* cont : remove TODO comment
* cont : update comment to reflect original regex
* use the correct regex in the comment this time... [no ci]
---------
Co-authored-by: Aldehir Rojas <hello@alde.dev>
Add dequantize4() implementations for Q4_1, Q5_0, Q5_1, and IQ4_NL
in the flash attention base shader. Register them in the shader
generator, pipeline creation, and enable in the scalar/coopmat1 FA
support check.
* Fix Arabic RTL text rendering in web UI
- Add dir='auto' attributes to markdown containers and blocks
- Implement post-processing to add dir='auto' to all text elements
- Replace directional CSS properties with logical properties for proper RTL list alignment
- Ensure bidirectional text support for mixed Arabic/English content
* Clean up commented duplicate function
Remove the commented-out duplicate transformMdastNode function
that was left over from refactoring.
* Fix Arabic RTL text rendering in web UI
- Add dir='auto' attributes to markdown containers and blocks
- Implement post-processing to add dir='auto' to all text elements
- Replace directional CSS properties with logical properties for proper RTL list alignment
- Minor code formatting improvements
This ensures bidirectional text support for mixed Arabic/English content in the llama.cpp web UI.
* Implement rehype plugin for comprehensive RTL text support
- Add rehypeRtlSupport plugin that applies dir='auto' to all elements with children
- Replace DOMParser-based approach with efficient HAST tree processing
- Remove hardcoded element lists for better maintainability
- Ensure proper bidirectional text rendering for mixed RTL/LTR content
* Fix RTL text rendering with rehype plugin and cleanup
* fix: prettier formatting
Extend the existing reorder optimization to Q8_0. The reorder
separates scale factors from weight data for coalesced memory
access -- was implemented for Q4_0/Q4_K/Q6_K but Q8_0 was missing.
On Arc Pro B70 (Xe2), Q8_0 tg goes from 4.88 to 15.24 t/s (3.1x)
on Qwen3.5-27B. BW utilization: 21% -> 66%.
The key fix beyond the kernels: Q8_0 was missing from the type
check in ggml_backend_sycl_buffer_init_tensor() that allocates
the extra struct carrying the reorder flag -- so the optimization
was silently skipped.
AI (Claude) was used to assist with root cause investigation and
writing the kernel code. All code was human-reviewed and tested
on real hardware.
Fixes: #21517
* Write an optimized flash_attn_stream_k_fixup kernel
Write a specialized and more optimized kernel for cases where nblocks_stream_k is multiple of ntiles_dst.
Make nblocks_stream_k to multiple of ntiles_dst if nblocks_stream_k > 2 * ntiles_dst
* Use the new kernel only for nblocks_stream_k_raw > 4 * ntiles_dst to make sure we have enough concurrency on GPUs
* Address review comments
* Address review comments
* Revert variable names to original
Check the return value of sink.write() in the chunked content provider
and return false when the write fails, matching cpp-httplib's own
streaming contract. This prevents logging chunks as sent when the sink
rejected them and properly aborts the stream on connection failure.
This PR changes the logging that occurs at startup of llama-server.
Currently, it is redundant (including CPU information twice) and it is
missing the build + commit info.
* Work towards removing bitcast
* Move rest of existing types over
* Add timeout back to wait and remove synchronous set_tensor/memset_tensor
* move to unpackf16 for wider compatibility
* cleanup
* Remove deadlock condition in free_bufs
* Start work on removing parameter buffer pools
* Simplify and optimize further
* simplify profile futures
* Fix stride
* Try using a single command buffer per batch
* formatting
* experimenting CI
* Experimenting CI fix for MinGW
* experimenting CI on Windows
* modified script for integration with VisualStudio
* added proxy handling
* adding python version for Windows execution
* fix iterator::end() dereference
* fixed proxy handling
* Fix errors occurring on Windows
* fixed ci script
* Reverted to master
* Stripping test items to simplify Windows test
* adjusting script for windows testing
* Changed shell
* Fixed shell
* Fixed shell
* Fix CI setting
* Fix CI setting
* Fix CI setting
* Experimenting ci fix
* Experimenting ci fix
* Experimenting ci fix
* Experimenting ci fix
* experimenting fix for unit test error
* Changed to use BUILD_LOW_PERF to skip python tests
* Fix CI
* Added option to specify Ninja generator
* Reverted proxy related changes
Piotr Wilkin
Georgi Gerganov
Reese Levine
Aman Gupta
Aaron Teo
Son H. Nguyen
Johannes Gäßler
Tom Overlund
mkoker
Aldehir Rojas
Antoine Viallon
Aleksander Grygier
Kabir08
PMZFX
Dmytro Romanov
Masashi Yoshimura
Pasha Khosravi
Bipin Yadav
Gaurav Garg
Sigbjørn Skjæret
lainon1
Xuan-Son Nguyen
Neo Zhang
Yarden Tal
anchortense
Richard Davison
Ludovic Henry
ddh0
M1DNYT3
Nicholas Sparks
Dan Hoffman
Adrien Gallouët
SamareshSingh
Masato Nakasaka
Yes You Can Have Your Own