* feat(backend): add turboquant llama.cpp-fork backend
turboquant is a llama.cpp fork (TheTom/llama-cpp-turboquant, branch
feature/turboquant-kv-cache) that adds a TurboQuant KV-cache scheme.
It ships as a first-class backend reusing backend/cpp/llama-cpp sources
via a thin wrapper Makefile: each variant target copies ../llama-cpp
into a sibling build dir and invokes llama-cpp's build-llama-cpp-grpc-server
with LLAMA_REPO/LLAMA_VERSION overridden to point at the fork. No
duplication of grpc-server.cpp — upstream fixes flow through automatically.
Wires up the full matrix (CPU, CUDA 12/13, L4T, L4T-CUDA13, ROCm, SYCL
f32/f16, Vulkan) in backend.yml and the gallery entries in index.yaml,
adds a tests-turboquant-grpc e2e job driven by BACKEND_TEST_CACHE_TYPE_K/V=q8_0
to exercise the KV-cache config path (backend_test.go gains dedicated env
vars wired into ModelOptions.CacheTypeKey/Value — a generic improvement
usable by any llama.cpp-family backend), and registers a nightly auto-bump
PR in bump_deps.yaml tracking feature/turboquant-kv-cache.
scripts/changed-backends.js gets a special-case so edits to
backend/cpp/llama-cpp/ also retrigger the turboquant CI pipeline, since
the wrapper reuses those sources.
* feat(turboquant): carry upstream patches against fork API drift
turboquant branched from llama.cpp before upstream commit 66060008
("server: respect the ignore eos flag", #21203) which added the
`logit_bias_eog` field to `server_context_meta` and a matching
parameter to `server_task::params_from_json_cmpl`. The shared
backend/cpp/llama-cpp/grpc-server.cpp depends on that field, so
building it against the fork unmodified fails.
Cherry-pick that commit as a patch file under
backend/cpp/turboquant/patches/ and apply it to the cloned fork
sources via a new apply-patches.sh hook called from the wrapper
Makefile. Simplifies the build flow too: instead of hopping through
llama-cpp's build-llama-cpp-grpc-server indirection, the wrapper now
drives the copied Makefile directly (clone -> patch -> build).
Drop the corresponding patch whenever the fork catches up with
upstream — the build fails fast if a patch stops applying, which
is the signal to retire it.
* docs: add turboquant backend section + clarify cache_type_k/v
Document the new turboquant (llama.cpp fork with TurboQuant KV-cache)
backend alongside the existing llama-cpp / ik-llama-cpp sections in
features/text-generation.md: when to pick it, how to install it from
the gallery, and a YAML example showing backend: turboquant together
with cache_type_k / cache_type_v.
Also expand the cache_type_k / cache_type_v table rows in
advanced/model-configuration.md to spell out the accepted llama.cpp
quantization values and note that these fields apply to all
llama.cpp-family backends, not just vLLM.
* feat(turboquant): patch ggml-rpc GGML_OP_COUNT assertion
The fork adds new GGML ops bringing GGML_OP_COUNT to 97, but
ggml/include/ggml-rpc.h static-asserts it equals 96, breaking
the GGML_RPC=ON build paths (turboquant-grpc / turboquant-rpc-server).
Carry a one-line patch that updates the expected count so the
assertion holds. Drop this patch whenever the fork fixes it upstream.
* feat(turboquant): allow turbo* KV-cache types and exercise them in e2e
The shared backend/cpp/llama-cpp/grpc-server.cpp carries its own
allow-list of accepted KV-cache types (kv_cache_types[]) and rejects
anything outside it before the value reaches llama.cpp's parser. That
list only contains the standard llama.cpp types — turbo2/turbo3/turbo4
would throw "Unsupported cache type" at LoadModel time, meaning
nothing the LocalAI gRPC layer accepted was actually fork-specific.
Add a build-time augmentation step (patch-grpc-server.sh, called from
the turboquant wrapper Makefile) that inserts GGML_TYPE_TURBO2_0/3_0/4_0
into the allow-list of the *copied* grpc-server.cpp under
turboquant-<flavor>-build/. The original file under backend/cpp/llama-cpp/
is never touched, so the stock llama-cpp build keeps compiling against
vanilla upstream which has no notion of those enum values.
Switch test-extra-backend-turboquant to set
BACKEND_TEST_CACHE_TYPE_K=turbo3 / _V=turbo3 so the e2e gRPC suite
actually runs the fork's TurboQuant KV-cache code paths (turbo3 also
auto-enables flash_attention in the fork). Picking q8_0 here would
only re-test the standard llama.cpp path that the upstream llama-cpp
backend already covers.
Refresh the docs (text-generation.md + model-configuration.md) to
list turbo2/turbo3/turbo4 explicitly and call out that you only get
the TurboQuant code path with this backend + a turbo* cache type.
* fix(turboquant): rewrite patch-grpc-server.sh in awk, not python3
The builder image (ubuntu:24.04 stage-2 in Dockerfile.turboquant)
does not install python3, so the python-based augmentation step
errored with `python3: command not found` at make time. Switch to
awk, which ships in coreutils and is already available everywhere
the rest of the wrapper Makefile runs.
* Apply suggestion from @mudler
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* chore(ci): Build Go based backends on Darwin
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(stablediffusion-ggml): Fixes for building on Darwin
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(whisper): Build on Darwin
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): Avoid matching wrong backend with the same prefix
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(whisper): Use Purego and enable VAD
This replaces the Whisper CGO bindings with our own Purego based module
to make compilation easier.
In addition this allows VAD models to be loaded by Whisper. There is not
much benefit now except that the same backend can be used for VAD and
transcription. Depending on upstream we may also be able to use GPU for
VAD in the future, but presently it is disabled.
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* feat(backends): bundle python
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test ci
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* vllm on self-hosted
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add clang
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to fix it for Mac
* Relocate links only when is portable
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make sure to call macosPortableEnv
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use self-hosted for vllm
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: allow to install with pip
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make the backend to build and actually work
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* List models from system only
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add script to build darwin python backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Run protogen in libbackend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Detect if mps is available across python backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* CI: try to build backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Debug CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Index mlx-vlm
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Remove mlx-vlm
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop CI test
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Build llama.cpp separately
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Start to try to attach some tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add git and small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: correctly autoload external backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to run AIO tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Slightly update the Makefile helps
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Adapt auto-bumper
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to run linux test
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add llama-cpp into build pipelines
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add default capability (for cpu)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop llama-cpp specific logic from the backend loader
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* drop grpc install in ci for tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Pass by backends path for tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Build protogen at start
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(tests): set backends path consistently
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Correctly configure the backends path
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to build for darwin
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Compile for metal on arm64/darwin
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to run build off from cross-arch
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add to the backend index nvidia-l4t and cpu's llama-cpp backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Build also darwin-x86 for llama-cpp
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Disable arm64 builds temporary
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Test backend build on PR
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixup build backend reusable workflow
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* pass by skip drivers
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use crane
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Skip drivers
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* x86 darwin
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add packaging step for llama.cpp
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix leftover from bark-cpp extraction
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to fix hipblas build
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci(Makefile): run tts and stablediffusion in dist
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* re-add macos-13
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* rely on detection
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* move logic to a script
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* missing some libs still
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
