20 Commits

Author SHA1 Message Date
Gadflyii
3df2244df4 llama : add --no-host to disable host buffers (#16310)
* implement --no-host to disable host buffer

* fix equal_mparams

* move no-host enumeration order together with other model params

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Co-authored-by: slaren <slarengh@gmail.com>
2025-10-06 19:55:53 +02:00
Radoslav Gerganov
898acba681 rpc : add support for multiple devices (#16276)
* rpc : add support for multiple devices

Allow rpc-server to expose multiple devices from a single endpoint.
Change RPC protocol to include device identifier where needed.

closes: #15210

* fixes

* use ggml_backend_reg_t

* address review comments

* fix llama-bench backend report

* address review comments, change device naming

* fix cmd order
2025-10-04 12:49:16 +03:00
ssweens
be79d9fdd9 llama-bench: add --devices and --list-devices support (#16039)
* * llama-bench: add --devices support
- Support --devices same as llama-server
- Provide for benchmarking different device combinations
- Include --list-devices like llama-server for convenience

* fix: field display ordering restored

* fix: integrated the rpc devices
- aimed to mimic the server as much as possible

* cleanup: defaults for list-devices
- handle dup device listing with RPC

* cleanup: remove dup device load calls

* docs: update llama-bench
- added the recently added n-cpu-moe option to the docs while in there

* llama-bench: rpc device simplification
* rpc servers unify with other devices earlier, simplifying code
* --list-devices made stateless and simpler
* various cleanup
2025-09-20 00:15:21 +02:00
jacekpoplawski
8ff206097c llama-bench: add --n-cpu-moe support (#15952)
* llama-bench: add --n-cpu-moe support

Support --n-cpu-moe in llama-bench the same way it is supported by
llama-server.
2025-09-16 16:17:08 +02:00
Diego Devesa
360d6533db ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type (#15797)
* ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type

ggml-backend : add device id to device props

llama : only use iGPU devices if there are no GPU devices

llama : do not use multiple devices from different backends with the same device id
2025-09-11 22:47:38 +02:00
Johannes Gäßler
e81b8e4b7f llama: use FA + max. GPU layers by default (#15434)
* llama: use max. GPU layers by default, auto -fa

* ggml-backend: abort instead of segfault
2025-08-30 16:32:10 +02:00
Georgi Gerganov
9ebebef62f llama : remove KV cache defragmentation logic (#15473)
ggml-ci
2025-08-22 12:22:13 +03:00
Juk Armstrong
476aa3fd57 Fixed name -override-tensors to -override-tensor (#15129) 2025-08-06 17:28:48 +01:00
R0CKSTAR
3025b621d1 llama-bench: rename DB table name from test to llama_bench (#15003)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-08-02 17:20:40 +08:00
Radoslav Gerganov
c556418b60 llama-bench : use local GPUs along with RPC servers (#14917)
Currently if RPC servers are specified with '--rpc' and there is a local
GPU available (e.g. CUDA), the benchmark will be performed only on the
RPC device(s) but the backend result column will say "CUDA,RPC" which is
incorrect. This patch is adding all local GPU devices and makes
llama-bench consistent with llama-cli.
2025-07-28 18:59:04 +03:00
bashayer hijji
fffcce535e llama-bench : add --no-warmup flag (#14224) (#14270)
Add no_warmup parameter to cmd_params struct and command-line parsing to allow users to skip warmup runs before benchmarking.

- Add no_warmup boolean field to cmd_params struct

- Add --no-warmup command-line argument parsing

- Add help text documentation for the new flag

- Wrap existing warmup logic in conditional check

- Maintain full backward compatibility (warmup enabled by default)

Addresses #14224
2025-06-19 12:24:12 +02:00
Georgi Gerganov
745aa5319b llama : deprecate llama_kv_self_ API (#14030)
* llama : deprecate llama_kv_self_ API

ggml-ci

* llama : allow llama_memory_(nullptr)

ggml-ci

* memory : add flag for optional data clear in llama_memory_clear

ggml-ci
2025-06-06 14:11:15 +03:00
Max Krasnyansky
053b1539c0 threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling (#12995)
* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling

We talked about adding LOW priority for GGML threads in the original threadpool PR.
It might be useful for some cases to avoid contention.

Latest Windows ARM64 releases started parking (offlining) the CPU cores
more aggresively which results in suboptimal performance with n_threads > 4.
To deal with that we now disable Power Throttling for our threads for the NORMAL
and higher priorities.

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* threading: disable SetThreadInfo() calls for older Windows versions

* Update tools/llama-bench/llama-bench.cpp

Co-authored-by: Diego Devesa <slarengh@gmail.com>

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-05-31 15:39:19 -07:00
Georgi Gerganov
e298d2fbd0 kv-cache : add SWA support (#13194)
* kv-cache : prepare for SWA

ggml-ci

* kv-cache : initial iSWA implementation

ggml-ci

* kv-cache : rework error recovery logic

ggml-ci

* models : fix Phi-3 SWA parameters

ggml-ci

* model : adjust Granite to rope factor changes

ggml-ci

* server : check if context can do shifts

ggml-ci

* iswa : for now, always enable shifts (experiment)

ggml-ci

* kv-cache : simplify SWA logic

ggml-ci

* kv-cache : apply defrag when we fail to find slots for the batch

ggml-ci

* llama : update docs about llama_decode

ggml-ci

* kv-cache : update warning logs when no space for the batch is available

ggml-ci

* llama : add llama_kv_self_seq_pos_min()

* kv-cache : keep track of partial SWA computes and print warnings

* server : disallow use cases involving partial SWA context

ggml-ci

* llama : add param to control SWA cache size

ggml-ci

* minor : clean-up

ggml-ci
2025-05-20 08:05:46 +03:00
Diego Devesa
6c8b91500e llama-bench : fix -ot with dl backends (#13563) 2025-05-15 15:46:55 +02:00
Georgi Gerganov
b2838049cc bench : handle decode errors (#13548)
ggml-ci
2025-05-15 05:57:02 +03:00
Diego Devesa
cf0a43bb64 llama-bench : add defrag-thold, check for invalid ranges (#13487) 2025-05-13 00:31:37 +02:00
Diego Devesa
22cdab343b llama-bench : accept ranges for integer parameters (#13410) 2025-05-12 13:08:22 +02:00
David Huang
7f323a589f Add --no-op-offload to improve -ot pp perf in MoE models like llama4 400B (#13386) 2025-05-11 14:18:39 +02:00
Diego Devesa
1d36b3670b llama : move end-user examples to tools directory (#13249)
* llama : move end-user examples to tools directory

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Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
2025-05-02 20:27:13 +02:00