* fix corner case in sd_oai_transform_params
Also fix typo in the function name.
* support for customizing loaded LoRA multipliers
The `sdloramult` flag now accepts a list of multipliers, one for each
LoRA. If all multipliers are non-zero, LoRAs load as before, with no extra
VRAM usage or performance impact.
If any LoRA has a multiplier of 0, we switch to `at_runtime` mode, and these
LoRAs will be available to multiplier changes via the `lora` sdapi field and
show up in the `sdapi/v1/loras` endpoint. All LoRAs are still preloaded on
startup, and cached to avoid file reloads.
If the list of multipliers is shorter than the list of LoRAs, the multiplier
list is extended with the first multiplier (1.0 by default), to keep it
compatible with the previous behavior.
* support for `<lora:name:multiplier>` prompt syntax and metadata
* add a few tests for sanitize_lora_multipliers
* sd: sync to master-509-4cdfff5
* sd: Anima support
* sd: sync to master-514-5792c66
* sd: additional workaround for Anima .safetensors model
* sd: sync to master-517-ba35dd7
* sd: sync to master-520-d950627
* fix: token usage fix for mistral-vibe
* fix: generate unique request IDs for OAI-compatible responses
* fix: prompt_tokens reporting KV cache size instead of actual count during streaming
* fixes for PR #2015
For (1), this is not a good idea. If it returned 0 (e.g. during an error), this value may not be updated and will return the value of a previous or different request. It's better to return 0 in those cases.
For (2), this is a good idea but we don't need that level of randomness. I'll probably swap it with a 6 digit random number instead.
For (3), the official openai spec gates it behind stream_options.include_usage = true so i'll do that too
* missed 1 item
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Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>
* tweak format sting types
This may not be all of them, but it's the ones which warn on OpenBSD
* complete the changes needed to fix the format string specifers
* avoid using inttypes, directly cast to size_t (u64 usually) instead
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Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>
* Adds CPU-to-CUDA copy capability to
ggml_backend_cuda_cpy_tensor_async()
* Adds function to relax sync requirements between input copies on
supported backends (CUDA for now)
* Exchanges synchronous copy with async copy function.
* Adds macro guards to allow compilation in non-CUDA builds
* Reworked backend detection in ggml-backend.cpp to avoid linking
conflicts
* Relax requirement of checks in async CUDA copies from backend and buffer type to just buffer type, to avoid linking issues
* Minor cleanup
* Makes opt-in to relax use of explicit syncs more general. Backends like
vulkan which require a synchronization between HtoD copies and graph
execution could also adopt this change now.
* Reintroduces stricter check for CPU->CUDA backend async copy via
GGML_DEVICE_TYPE_CPU.
* Corrects initialization of ggml_backend_sync_mode in
ggml_backend_sched_split initialization
* Simplifies synchronizations to adhere to `saaasg` pattern.
* Apply suggestion from @ggerganov (src->buffer to buf_src)
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Apply suggestion from @ggerganov (src->buffer to buf_src) v2
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* model : fix Qwen3.5 model type detection
* Update src/llama-model.cpp
whoops, my bad
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Enable tmate debugging for investigating thread safety issue
* Refactor wait and submit to operate on vector<wgpu::FutureWaitInfo>, and fix wait to delete only the future that is completed.
* Cleanup
* Remove clear change and run clang-format
* Cleanup
Many models have vocabulary sizes, and thus tensor shapes, with more
than 5 digits (ex: Gemma 3's vocab size is 262,208).
I already fixed this for `llama_format_tensor_shape` but missed it for
`llama_format_tensor_shape` until now. Oops.
* Set C locale for consistent float formatting across all binaries.
* Add C locale setting to all tools binaries
Add std::setlocale(LC_NUMERIC, "C") to all 16 binaries in the tools/
directory to ensure consistent floating-point formatting.
* Apply suggestion from @JohannesGaessler
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Concedo
Wagner Bruna
JustCommitRandomness
Gustavo Rocha Dias
Andreas Kieslinger
Eric Zhang
Sigbjørn Skjæret
Aleksander Grygier
Marcel Petrick
Max Krasnyansky
lhez
Todor Boinovski
Nikhil Jain
Masashi Yoshimura
Johannes Gäßler
Adrien Gallouët
ddh0
SamareshSingh
standby24x7
Mickael Desgranges