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Author	SHA1	Message	Date
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) ... 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	2024-09-27 20:57:51 +03:00
Borislav Stanimirov	44f59b4301	cmake : add option for common library (#9661)	2024-09-27 10:42:06 +03:00
Neo Zhang Jianyu	95bc82fbc0	[SYCL] add missed dll file in package (#9577) ... * 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) ... 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) ... * 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) ... * 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)	2024-09-25 11:30:38 +08:00
Eric Zhang	70392f1f81	ggml : add AVX512DQ requirement for AVX512 builds (#9622)	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) ... 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) ... * 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)	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) ... This reverts commit 50addec9a5.	2024-09-23 11:28:06 +08:00
R0CKSTAR	c35e586ea5	musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (#9526) ... * mtgpu: add mp_21 support Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * mtgpu: disable flash attention on qy1 (MTT S80); disable q3_k and mul_mat_batched_cublas Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * mtgpu: enable unified memory Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * mtgpu: map cublasOperation_t to mublasOperation_t (sync code to latest) Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>	2024-09-22 16:55:49 +02:00
Molly Sophia	912c331d3d	Fix merge error in #9454 (#9589) ... Signed-off-by: Molly Sophia <mollysophia379@gmail.com>	2024-09-22 15:26:50 +02:00
Johannes Gäßler	a5b57b08ce	CUDA: enable Gemma FA for HIP/Pascal (#9581)	2024-09-22 09:34:52 +02:00
Shankar	ecd5d6b65b	llama: remove redundant loop when constructing ubatch (#9574)	2024-09-22 04:30:34 +02:00
Molly Sophia	2a63caaa69	RWKV v6: RWKV_WKV op CUDA implementation (#9454) ... * ggml: CUDA unary op EXP Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * ggml: rwkv_wkv op CUDA impl Signed-off-by: Molly Sophia <mollysophia379@gmail.com> --------- Signed-off-by: Molly Sophia <mollysophia379@gmail.com>	2024-09-22 04:29:12 +02:00
slaren	d09770cae7	ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG (#9573)	2024-09-21 14:24:23 +02:00
agray3	41f477879f	Update CUDA graph on scale change plus clear nodes/params (#9550) ... * Avoid using saved CUDA graph if scale changes and reset nodes/params on update Fixes https://github.com/ggerganov/llama.cpp/issues/9451 * clear before resize	2024-09-21 02:41:07 +02:00
Huang Qi	e948a7da7a	CI: Provide prebuilt windows binary for hip (#9467)	2024-09-21 02:39:41 +02:00
slaren	63351143b2	quantize : improve type name parsing (#9570) ... quantize : do not ignore invalid types in arg parsing quantize : ignore case of type and ftype arguments	2024-09-20 20:55:36 +02:00
Georgi Gerganov	d13edb17ed	ggml : fix builds (#0) ... ggml-ci	2024-09-20 21:15:05 +03:00
Georgi Gerganov	27609c49b9	ggml : fix trailing whitespace (#0) ... ggml-ci	2024-09-20 21:15:05 +03:00
Georgi Gerganov	4301535326	sync : ggml ... ggml-ci	2024-09-20 21:15:05 +03:00