Translate modern speculative fields to the pinned fork API, disable unsupported score and checkpoint features, and cover the compatibility transform with an idempotent regression test.
Assisted-by: Codex:gpt-5 [Codex]
The buun build copies the stock llama.cpp backend directory, including patches that target upstream. Remove that copied patch directory before invoking the shared build so only the explicit buun compatibility series is applied to the fork.
Assisted-by: Codex:gpt-5 [systematic-debugging]
The shared gRPC wrapper stores p_split under the draft sub-structure. Match that exact source spelling so the fork-specific patch stage reaches the build on every architecture.
Assisted-by: Codex:gpt-5 [Codex]
Two more hipblas-only build failures in buun's fattn.cu, fixed under the
same patches/ infrastructure:
1. cudaMemcpyToSymbol / cudaMemcpyFromSymbol — buun's Q² calibration +
TCQ codebook upload paths call the symbol variants of cudaMemcpy.
ggml/src/ggml-cuda/vendors/hip.h aliases every other cudaMemcpy*
name (cudaMemcpy, cudaMemcpyAsync, cudaMemcpy2DAsync, …) but the
symbol pair was never added. 15+ "use of undeclared identifier"
errors across fattn.cu lines 40, 54, 74-76, 94, 100-101, 371, 883,
905, 954, 976, 1449, 1463. Add the two missing aliases alongside
the existing memcpy block.
2. __shfl_xor_sync fwht128 calls — same 3-arg omission pattern as the
earlier argmax top-K fix. Lines 512 (ggml_cuda_fwht128 intra-warp
butterfly) and 536 (fwht128_store_half neighbor fetch) drop the
width argument that hip.h:33 requires. Add WARP_SIZE.
Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Two call sites in ggml/src/ggml-cuda/argmax.cu (the top-K intra-warp
merge added by buun) use the 3-arg CUDA form __shfl_xor_sync(mask, var,
laneMask), omitting the optional width parameter. The hipification shim
at ggml/src/ggml-cuda/vendors/hip.h:33 is a function-like macro that
requires all four arguments, so hipcc fails with:
argmax.cu:265: too few arguments provided to function-like macro
invocation
note: macro '__shfl_xor_sync' defined here:
#define __shfl_xor_sync(mask, var, laneMask, width) \
__shfl_xor(var, laneMask, width)
Every other call in the same file already passes WARP_SIZE explicitly;
aligning these two with that convention fixes the hipblas build without
changing CUDA codegen (warpSize is the CUDA default).
Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Buun's Q² calibration path in ggml/src/ggml-cuda/fattn.cu calls
atomicAdd with a double* destination. Native double atomicAdd is only
available on CUDA compute capability 6.0 and later — LocalAI's CUDA 12
Docker image builds for the full published arch range (which includes
sm_50/sm_52), so nvcc fails with:
fattn.cu:812: error: no instance of overloaded function "atomicAdd"
matches the argument list, argument types are: (double *, double)
Add the canonical CAS-loop shim from the CUDA C Programming Guide
(B.15 Atomic Functions) guarded on __CUDA_ARCH__ < 600. On sm_60+ the
guard is false and nvcc picks up the native intrinsic as before.
Patch file lives under backend/cpp/buun-llama-cpp/patches/ and is
applied to the cloned fork tree by apply-patches.sh (the infrastructure
already put in place for exactly this class of backport).
Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Previous substitution kept the call as 5 args, but buun predates the
upstream refactor that also *added* the logit_bias_eog parameter to
params_from_json_cmpl — buun's signature is still the 4-arg form
(const llama_vocab*, const common_params&, int, const json&)
and it still derives logit_bias_eog internally from the common_params.
Replace the substitution with a line-delete. Guard matches both the
original call (ctx_server.get_meta().logit_bias_eog) and the previously
substituted form (params_base.sampling.logit_bias_eog) so the script
stays safe across re-runs and whatever state the tree was left in.
Assisted-by: Claude:Opus-4.7 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
LocalAI's shared grpc-server.cpp reaches
ctx_server.get_meta().logit_bias_eog twice (the twin params_from_json_cmpl
callsites). That accessor was added to server_context_meta upstream after
buun's 2026-04-05 fork-point, so compiling against buun errors with
'struct server_context_meta' has no member named 'logit_bias_eog'.
Rewrite the call sites — only in the buun grpc-server.cpp copy — to source
the vector from params_base.sampling.logit_bias_eog instead. That vector is
the underlying data the upstream meta accessor eventually returns (buun
still carries common_params_sampling::logit_bias_eog at common.h:280), so
the substitution yields identical behavior on both trees.
The sed is guarded by a grep for the call site, so this patch is
self-disabling once buun rebases past the upstream refactor.
Assisted-by: Claude:Opus-4.7 [Read] [Edit] [Bash] [WebFetch]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
spiritbuun/buun-llama-cpp is a fork of TheTom/llama-cpp-turboquant that adds
two independent features on top: DFlash block-diffusion speculative decoding
(via a dedicated DFlashDraftModel GGUF arch) and two extra TCQ KV-cache
variants (turbo2_tcq, turbo3_tcq) on top of TurboQuant's turbo2/turbo3/turbo4.
Follows the turboquant thin-wrapper pattern — reuses backend/cpp/llama-cpp
grpc-server sources verbatim, patches only the build copy to extend the KV
allow-list and wire up buun-exclusive tree_budget / draft_topk options.
DraftModel is already wired end-to-end (proto field 39 → params.speculative),
so DFlash activation only needs the existing options passthrough
(spec_type:dflash) plus the drafter path in draft_model.
CacheTypeOptions now surfaces the five turbo* values so the React UI dropdown
shows them — benefits turboquant too (previously users had to type them in
YAML manually).
Assisted-by: Claude:Opus-4.7 [Read] [Edit] [Bash] [WebFetch]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
localai-org-maint-bot