* CI: Enable CUDA and Vulkan ARM64 runners and fix CI/CD
Co-authored-by: Ts-sound <44093942+Ts-sound@users.noreply.github.com>
* Obtain source tag name from git tag
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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Co-authored-by: Ts-sound <44093942+Ts-sound@users.noreply.github.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Reject empty computed member expressions before returning slices[0] from parse_member_expression_arguments().
* Treat empty computed member expressions with Jinja2 undefined semantics
Treat empty computed member expressions like `a[]` as undefined instead of
raising a parser error, to match Jinja2 behavior.
- return a noop expression for empty computed member arguments
- return undefined when a computed member key evaluates to undefined
- add Jinja tests covering `a[]|default('fallback')` and `a[] is undefined`
* Handle undefined computed member properties
Move undefined-property handling to the common member access path, and add a test covering `a[undefined] is undefined`.
* Use default undefined value in member access
Initialize val and then return it when property is undefined.
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* empty statement parses to blank_expression instead of noop_statement
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Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* CUDA: Fix CUB's argsort when nrows % block_size == 0 CCCL < 3.1
We wrongly calculated offset_grid as `ceildiv(nrows, block_size)`,
while it must be `ceildiv(nrows + 1, block_size)`. As a consequence, we
had uninitialized values in `offset_iterator[nrows]` for the case when
`nrows % block_size == 0`.
Fixes#21162
* Reduce nrows in test case to 256, don't need 768
When RPC is running with a remote backend which doesn't have init_tensor
function (like CPU and Metal), the server log gets full with error
messages saying that init_tensor is being called with null buffer which
is incorrect. This patch fixes this.
* Optimize MOE GEMV kernel for BS > 1.
The previous MOE kernel for BS > 1 had too many thread blocks (nrows_x, nchannels_dst, ncols_dst), with very little work per block. block of (32, 4) was doing inner dot product for a single row.
New mul_mat_vec_q_moe kernel is dedicated for MoE multi-token kernel with grid (ceil(nrows_x/rpb), nchannels_dst), block (warp_size, ncols_dst). Each warp handles two rows independently with warp-level reduction only (no shared memory sync).
This change doesn't increase any compilation time as a single template instance is needed per type. This also simplifies the original GEMV kernel and gets rid of `is_multi_token_id` specialization.
* Remove em-dashes
* Cherry-pick changes from @am17an PR https://github.com/ggml-org/llama.cpp/pull/20885 to enable small_k optimization only for cases where it benefits
Increase max batch size for MMVQ kernels for MUL_MAT_ID to 8
* Make the max batch size for MOE GEMV kernel configurable based on GPU arch and datatype
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Co-authored-by: Aman Gupta <amangupta052@gmail.com>
* hex-fa: add simple dma cache for Mask
I noticed that we were refetch the mask rows over and over.
This simple cache avoids that.
* hex-dma: unset in-order desc bit which caused signficant perf regression
We don't rely on true in order processing of the DMA descriptors anywhere.
Turns out this mode caused significant regression of around 3-4 TPS during token gen.
* hex-rope: update comment to clarify that we don't need in-order DMA completions
The regex-to-grammar converter in _visit_pattern() crashes with SIGSEGV
when a JSON schema "pattern" field contains a non-capturing group (?:...).
Root cause: when the parser sees '(' followed by '?', it pushes a warning
but does not advance past '?:'. The recursive transform() call then
interprets '?' as a quantifier and calls seq.back() on an empty vector,
causing undefined behavior.
This commonly occurs when serving OpenAI-compatible tool calls from
clients that include complex regex patterns in their JSON schemas (e.g.,
date validation patterns like ^(?:(?:\d\d[2468][048]|...)-02-29|...)$).
The fix:
- Skip '?:' after '(' to treat non-capturing groups as regular groups
- For unsupported syntax (?=, ?!, etc.), skip to matching ')' safely,
handling escaped characters to avoid miscounting parenthesis depth
- Adjust the ')' unbalanced-parentheses check using direct char
comparisons instead of substr
- Add test cases for non-capturing groups (C++ only, as the JS/Python
implementations do not yet support this syntax)
* introduce LLAMA_SERVER_NO_WEBUI
* LLAMA_SERVER_NO_WEBUI → LLAMA_BUILD_WEBUI
* LLAMA_BUILD_WEBUI ON by default not based on LLAMA_STANDALONE
* MIssed this
* Add useWebUi to package.nix
* server: respect the verbose_prompt parameter
* Revert "server: respect the verbose_prompt parameter"
This reverts commit 8ed885cf37.
* Remove --verbose-prompt parameter from llama-server
* Using set_examples instead of set_excludes
The compute graph may contain tensors pointing to CPU buffers. In these
cases the buffer address is serialized as 0 and sent over the wire.
However, the data pointer is serialized as-is and this prevents proper
validation on the server side. This patches fixes this by serializing
the data pointer as 0 for non-RPC buffers and doing proper validation on
the server side.
closes: #21006
The embd.begin(), embd.begin() range is empty and inserts nothing, so session_tokens never gets updated after
decoding. Should be embd.begin(), embd.end(). Introduced in commit 2b6dfe8.
* webui: send reasoning_content back to model in context
Preserve assistant reasoning across turns by extracting it from
internal tags and sending it as a separate reasoning_content field
in the API payload. The server and Jinja templates handle native
formatting (e.g. <think> tags for Qwen, GLM, DeepSeek...).
Adds "Exclude reasoning from context" toggle in Settings > Developer
(off by default, so reasoning is preserved). Includes unit tests.
* webui: add syncable parameter for excludeReasoningFromContext
* chore: update webui build output
Updates Metal tensor API test probe to fix the dimension constraint violation in the matmul2d descriptor (at least one value must be a multiple of 16).
* cann: update docker images to 8.5.0
- bump CANN base image from 8.3.rc2 to 8.5.0
- bump ASCEND_VERSION from 8.1.RC1.alpha001 to 8.5.0
Move to newer stable releases.
* cann: update CANN.md
* Update CANN.md to include BF16 support
Added BF16 support information to the CANN documentation and corrected formatting for the installation instructions.
* Fix formatting issues in CANN.md
Fix 234: Trailing whitespace
* mtmd: refactor image pre-processing
* correct some places
* correct lfm2
* fix deepseek-ocr on server
* add comment to clarify about mtmd_image_preprocessor_dyn_size
Seungmin Kim
Zhihao "Zephyr" Yao
Oliver Simons
Radoslav Gerganov
Aleksander Grygier
Aman Gupta
Sigbjørn Skjæret
Xuan-Son Nguyen
Gaurav Garg
Max Krasnyansky
Davi Henrique Linhares
Neo Zhang
Piotr Wilkin (ilintar)
BlueMöhre
Adrien
Aldehir Rojas
Georgi Gerganov
Adrien Gallouët
Woof Dog
Ruben Ortlam
Ts-sound
Kusha Gharahi
Yiwei Shao
AN Long
mtmcp
Pascal
ren
KokerZhou
Saba Fallah
uvos
lhez
Michael Wand
Pavel Zloi