Commit Graph

3854 Commits

Author SHA1 Message Date
compilade
1927378bcc
convert : refactor rope_freqs generation (#9396)
* convert : refactor rope_freqs generation

This should also fix vocab-only conversion for Phi-3.

* convert : adapt MiniCPM3 to separate rope_freqs insertion

MiniCPM3's tokenizer is treated as a SentencePiece tokenizer to avoid
having to run its custom Python code which mixes tokenization
in the same file as tool calls.

gguf-py : add long and short RoPE factors to tensor mappings

Empty, but the key names are used to populate the mappings.
2024-10-01 09:31:36 +03:00
serhii-nakon
6f1d9d71f4
Fix Docker ROCM builds, use AMDGPU_TARGETS instead of GPU_TARGETS (#9641)
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* Fix Docker ROCM builds, use AMDGPU_TARGETS instead of GPU_TARGETS

* Set ROCM_DOCKER_ARCH as string due it incorrectly build and cause OOM exit code
2024-09-30 20:57:12 +02:00
compilade
511636df0c
ci : reduce severity of unused Pyright ignore comments (#9697) 2024-09-30 14:13:16 -04:00
vb
08a43d05b6
py : update transfomers version (#9694)
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* update transfomers version.

* update hfh version.
2024-09-30 18:03:47 +03:00
Georgi Gerganov
ace4f4be37
flake.lock: Update (#9680)
Flake lock file updates:

• Updated input 'nixpkgs':
    'github:NixOS/nixpkgs/c04d5652cfa9742b1d519688f65d1bbccea9eb7e?narHash=sha256-PmUr/2GQGvFTIJ6/Tvsins7Q43KTMvMFhvG6oaYK%2BWk%3D' (2024-09-19)
  → 'github:NixOS/nixpkgs/1925c603f17fc89f4c8f6bf6f631a802ad85d784?narHash=sha256-J%2BPeFKSDV%2BpHL7ukkfpVzCOO7mBSrrpJ3svwBFABbhI%3D' (2024-09-26)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-09-30 07:48:49 -07:00
Ruchira Hasaranga
8277a817f1
console : utf-8 fix for windows stdin (#9690)
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* utf-8 fix for windows stdin

* Update common/console.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-30 11:23:42 +03:00
Georgi Gerganov
c919d5db39
ggml : define missing HWCAP flags (#9684)
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ggml-ci

Co-authored-by: Willy Tarreau <w@1wt.eu>
2024-09-29 21:18:23 +03:00
Georgi Gerganov
d0b1d663e4
sync : ggml 2024-09-29 21:16:07 +03:00
Johannes Gäßler
aaa4099925
CUDA: remove bad assert (ggml/972) 2024-09-29 21:15:37 +03:00
Jeff Bolz
641002fba8
vulkan : multithread pipeline creation (ggml/963) 2024-09-29 21:15:37 +03:00
Jeff Bolz
0de8b203f1
vulkan : fix build for GGML_VULKAN_RUN_TESTS, add TFLOPS to log (ggml/961) 2024-09-29 21:15:37 +03:00
Salvatore Mesoraca
544f409b4b
vulkan : argsort barriers must be under uniform control flow (ggml/951)
a return before a barrier (that happens only in some threads in
a workgroup) leads to UB.
While the old code actually works on some devices,
it fails on some others (i.e. "smaller" GPUs).

BTW, I think it would be better to set specialization constants
when the graph is built, in that way the local workgroup
could be sized appropriately.
But it would take a lot of work.

Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
2024-09-29 21:15:37 +03:00
Georgi Gerganov
6084bfb261
ggml : fix GGML_MAX_N_THREADS + improve formatting (ggml/969) 2024-09-29 21:15:35 +03:00
matiaslin
faac0bae26
common : ensure llama_batch size does not exceed max size (#9668)
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A crash was observed when the number of tokens added to a batch exceeds
llama_batch size. An assertion in llama_batch_add was added to protect
against llama_batch size overflow.
2024-09-29 15:25:00 +03:00
nopperl
f99d3f8367
py : add model class for Chameleon conversion (#9683) 2024-09-29 15:02:06 +03:00
Georgi Gerganov
589b48d41e
contrib : add Resources section (#9675) 2024-09-29 14:38:18 +03:00
Georgi Gerganov
f4d2b8846a
llama : add reranking support (#9510)
* py : add XLMRobertaForSequenceClassification [no ci]

* py : fix scalar-tensor conversion [no ci]

* py : fix position embeddings chop [no ci]

* llama : read new cls tensors [no ci]

* llama : add classigication head (wip) [no ci]

* llama : add "rank" pooling type

ggml-ci

* server : add rerank endpoint

ggml-ci

* llama : aboud ggml_repeat during classification

* rerank : cleanup + comments

* server : accept /rerank endpoint in addition to /v1/rerank [no ci]

* embedding : parse special tokens

* jina : support v1 reranker

* vocab : minor style

ggml-ci

* server : initiate tests for later

ggml-ci

* server : add docs

* llama : add comment [no ci]

* llama : fix uninitialized tensors

* ci : add rerank tests

ggml-ci

* add reranking test

* change test data

* Update examples/server/server.cpp

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* add `--reranking` argument

* update server docs

* llama : fix comment [no ci]

ggml-ci

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-09-28 17:42:03 +03:00
slaren
1b2f992cd2
test-backend-ops : use flops for some performance tests (#9657)
* test-backend-ops : use flops for some performance tests

- parallelize tensor quantization

- use a different set of cases for performance and correctness tests

- run each test for at least one second
2024-09-28 14:32:46 +02:00
Georgi Gerganov
739842703e
llama : add comment about thread-safety [no ci] (#9449) 2024-09-28 15:13:42 +03:00
Zhenwei Jin
6102037bbb
vocab : refactor tokenizer to reduce init overhead (#9449)
* refactor tokenizer

* llama : make llm_tokenizer more private

ggml-ci

* refactor tokenizer

* refactor tokenizer

* llama : make llm_tokenizer more private

ggml-ci

* remove unused files

* remove unused fileds to avoid unused filed build error

* avoid symbol link error

* Update src/llama.cpp

* Update src/llama.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-28 15:10:58 +03:00
nopperl
9a913110cf
llama : add support for Chameleon (#8543)
* convert chameleon hf to gguf

* add chameleon tokenizer tests

* fix lint

* implement chameleon graph

* add swin norm param

* return qk norm weights and biases to original format

* implement swin norm

* suppress image token output

* rem tabs

* add comment to conversion

* fix ci

* check for k norm separately

* adapt to new lora implementation

* fix layer input for swin norm

* move swin_norm in gguf writer

* add comment regarding special token regex in chameleon pre-tokenizer

* Update src/llama.cpp

Co-authored-by: compilade <git@compilade.net>

* fix punctuation regex in chameleon pre-tokenizer (@compilade)

Co-authored-by: compilade <git@compilade.net>

* fix lint

* trigger ci

---------

Co-authored-by: compilade <git@compilade.net>
2024-09-28 15:08:43 +03:00
Aarni Koskela
43bcdd9703
readme : add tool (#9655) 2024-09-28 15:07:14 +03:00
Dan Johansson
6a0f779484
ggml : add run-time detection of neon, i8mm and sve (#9331)
* ggml: Added run-time detection of neon, i8mm and sve

Adds run-time detection of the Arm instructions set features
neon, i8mm and sve for Linux and Apple build targets.

* ggml: Extend feature detection to include non aarch64 Arm arch

* ggml: Move definition of ggml_arm_arch_features to the global data section
2024-09-28 15:06:16 +03:00
Markus Tavenrath
89f9944981
Enable use to the rebar feature to upload buffers to the device. (#9251) 2024-09-28 12:05:05 +02:00
Georgi Gerganov
b5de3b74a5
readme : update hot topics
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2024-09-27 20:57:51 +03:00
Borislav Stanimirov
44f59b4301
cmake : add option for common library (#9661)
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2024-09-27 10:42:06 +03:00
Neo Zhang Jianyu
95bc82fbc0
[SYCL] add missed dll file in package (#9577)
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* update oneapi to 2024.2

* use 2024.1

---------

Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
2024-09-26 17:38:31 +08:00
R0CKSTAR
7691654c68
mtgpu: enable VMM (#9597)
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-09-26 03:27:40 +02:00
Xuan Son Nguyen
ea9c32be71
ci : fix docker build number and tag name (#9638)
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* ci : fix docker build number and tag name

* fine-grant permissions
2024-09-25 17:26:01 +02:00
Charles Xu
1e43630218
ggml : remove assert for AArch64 GEMV and GEMM Q4 kernels (#9217)
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* ggml : remove assert for AArch64 GEMV and GEMM Q4 kernels

* added fallback mechanism when the offline re-quantized model is not
optimized for the underlying target.

* fix for build errors

* remove prints from the low-level code

* Rebase to the latest upstream
2024-09-25 16:12:20 +03:00
Xuan Son Nguyen
afbbfaa537
server : add more env vars, improve gen-docs (#9635)
* server : add more env vars, improve gen-docs

* update server docs

* LLAMA_ARG_NO_CONTEXT_SHIFT
2024-09-25 14:05:13 +02:00
Gabe Goodhart
3d6bf6919f
llama : add IBM Granite MoE architecture (#9438)
* feat(gguf-py): Add granitemoe architecture

This includes the addition of new tensor names for the new moe layers.
These may not be correct at this point due to the need for the hack in
gguf_writer.py to double-check the length of the shape for these layers.

Branch: GraniteMoE

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat(convert_hf_to_gguf): Add GraniteMoeModel

GraniteMoe has the same configuration deltas as Granite

Branch: GraniteMoE

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(granitemoe convert): Split the double-sized input layer into gate and up

After a lot of staring and squinting, it's clear that the standard mixtral
expert implementation is equivalent to the vectorized parallel experts in
granite. The difference is that in granite, the w1 and w3 are concatenated
into a single tensor "input_linear." Rather than reimplementing all of the
math on the llama.cpp side, the much simpler route is to just split this
tensor during conversion and follow the standard mixtral route.

Branch: GraniteMoE

Co-Authored-By: alex.brooks@ibm.com

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat(granitemoe): Implement granitemoe

GraniteMoE follows the mixtral architecture (once the input_linear layers
are split into gate_exps/up_exps). The main delta is the addition of the
same four multipliers used in Granite.

Branch: GraniteMoE

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* Typo fix in docstring

Co-Authored-By: ggerganov@gmail.com

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(conversion): Simplify tensor name mapping in conversion

Branch: GraniteMoE

Co-Authored-By: git@compilade.net
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(convert): Remove unused tensor name mappings

Branch: GraniteMoE

Co-Authored-By: git@compilade.net
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(convert): Sanity check on merged FFN tensor sizes

Branch: GraniteMoE

Co-Authored-By: git@compilade.net
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Allow "output" layer in granite moe architecture (convert and cpp)

Branch: GraniteMoE

Co-Authored-By: git@compilade.net
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(granite): Add missing 'output' tensor for Granite

This is a fix for the previous `granite` architecture PR. Recent snapshots
have included this (`lm_head.weights`) as part of the architecture

Branch: GraniteMoE

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-25 10:06:52 +03:00
Dou Xinpeng
904837e0cb
cann: fix crash when llama-bench is running on multiple cann devices (#9627)
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2024-09-25 11:30:38 +08:00
Eric Zhang
70392f1f81
ggml : add AVX512DQ requirement for AVX512 builds (#9622)
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2024-09-24 11:03:21 +03:00
Georgi Gerganov
bb5f819975
sync : ggml 2024-09-24 11:01:18 +03:00
Georgi Gerganov
c038931615
examples : adapt to ggml.h changes (ggml/0)
ggml-ci
2024-09-24 11:00:52 +03:00
Georgi Gerganov
31ac5834fe
llama : keep track of all EOG tokens in the vocab (#9609)
ggml-ci
2024-09-24 10:16:06 +03:00
Georgi Gerganov
cea1486ecf
log : add CONT level for continuing previous log entry (#9610) 2024-09-24 10:15:35 +03:00
StrangeBytesDev
0aa15011e3
server : add newline after chat example (#9616) 2024-09-24 09:04:39 +03:00
Georgi Gerganov
b0f27361f3
sampling : avoid expensive softmax during greedy sampling (#9605)
* sampling : avoid expensive softmax during greedy sampling

ggml-ci

* speculative : fix default RNG seed + set sparams.n_probs

* Update tests/test-sampling.cpp

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

* sampling : add clarifying comment [no ci]

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-09-24 09:03:17 +03:00
Max Krasnyansky
c087b6f11d
threads: fix msvc build without openmp (#9615)
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We're missing atomic_thread_fence() in MSVC builds when openmp is disabled.
2024-09-23 21:18:48 -07:00
Ivan
116efee0ee
cuda: add q8_0->f32 cpy operation (#9571)
llama: enable K-shift for quantized KV cache
It will fail on unsupported backends or quant types.
2024-09-24 02:14:24 +02:00
Xuan Son Nguyen
0b3bf966f4
server : add --no-context-shift option (#9607)
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* server : add --no-context-shift option

* small fix

* Update examples/server/tests/features/embeddings.feature

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* tests : minor fix

* revert usage of GGML_ASSERT

* update server documentation

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-23 22:23:54 +02:00
Max Krasnyansky
f0c7b5edf8
threads: improve ggml_barrier scaling with large number of threads (#9598)
Make sure n_barrier and n_barrier_passed do not share the cache line to avoid cache line bouncing.
This optimization shows performance improvements even for n_threads <= 8 cases.

Resurect TSAN (Thread Sanitizer) check so that we can avoid doing expensive read-modify-write
in the normal case and just use thread-fence as originally intended.

---
Here is the original description and suggestions from Willy Tarreau :

There's currently some false sharing between n_barrier and
n_barrier_passed that is amplified in ggml_barrier() by the fact that
all threads need to increment n_barrier when entering, while all
previous threads continue to read n_barrier_passed, waiting for the last
one to release them all. The side effect is that all these readers are
slowing down all new threads by making the cache line bounce back and
forth between readers and writers.

Just placing them in two distinct cache lines is sufficient to boost
the performance by 21% on a 80-core ARM server compared to the
no-openmp version, and by 3% compared to the openmp version.

Note that the variables could have been spread apart in the structure
as well, but it doesn't seem that the size of this threadpool struct is
critical so here we're simply aligning them.

Finally, the same issue was present when leaving the barrier since all
threads had to update the n_barrier_passed counter, though only one
would add a non-zero value. This alone is responsible for half of the
cost due to undesired serialization.

It might be possible that using a small array of n_barrier counters
could make things even faster on many-core systems, but it would likely
complicate the logic needed to detect the last thread.

Co-authored-by: Willy Tarreau <w@1wt.eu>
2024-09-23 11:42:43 -07:00
Riceball LEE
1d48e98e4f
readme : add programmable prompt engine language CLI (#9599) 2024-09-23 18:58:17 +03:00
Georgi Gerganov
f3979df762
flake.lock: Update (#9586)
Flake lock file updates:

• Updated input 'nixpkgs':
    'github:NixOS/nixpkgs/4f807e8940284ad7925ebd0a0993d2a1791acb2f?narHash=sha256-IiA3jfbR7K/B5%2B9byVi9BZGWTD4VSbWe8VLpp9B/iYk%3D' (2024-09-11)
  → 'github:NixOS/nixpkgs/c04d5652cfa9742b1d519688f65d1bbccea9eb7e?narHash=sha256-PmUr/2GQGvFTIJ6/Tvsins7Q43KTMvMFhvG6oaYK%2BWk%3D' (2024-09-19)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-09-23 08:43:40 -07:00
Srihari-mcw
1e7b9299c6
ggml : AVX512 gemm for Q4_0_8_8 (#9532)
* AVX512 version of ggml_gemm_q4_0_8x8_q8_0

* Remove zero vector parameter passing

* Rename functions and rearrange order of macros

* Edit commments

* style : minor adjustments

* Update x to start from 0

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-23 17:06:38 +03:00
Georgi Gerganov
37f8c7b4c9
perplexity : remove extra new lines after chunks (#9596)
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2024-09-23 11:28:02 +03:00
Georgi Gerganov
bf9c1013ac
metal : use F32 prec for K*Q in vec FA (#9595)
ggml-ci
2024-09-23 11:27:47 +03:00
Akarshan Biswas
e62e9789cd
Revert "[SYCL] fallback mmvq (#9088)" (#9579)
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This reverts commit 50addec9a5.
2024-09-23 11:28:06 +08:00