merge from upstream #7

l3utterfly · 2024-04-06T01:15:02Z

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* Revisited & updated SYCL build documentation * removed outdated comment * Addressed PR comments * Trimed white spaces * added new end line

* Allow conversion of Mistral HF models * Homogenize Llama, Mistral, Mixtral under the same entry. * Fix tokenizer, permute tensors * Use sentencepiece tokenizer, or fall back to hfft. * convert-hf : small fix for mypy * convert-hf : fix duplicated block_count * convert-hf : add vocab size to metadata --------- Co-authored-by: Jared Van Bortel <jared@nomic.ai>

* llama: remove redundant reshape in build_kv_store This commit removes the reshape of the V matrix in the build_kv_store. The motivation for this is that V matrix has the shape: ```console (gdb) p *v_cur $46 = {type = GGML_TYPE_F32, backend = GGML_BACKEND_TYPE_CPU, buffer = 0x0, ne = {4096, 512, 1, 1}, nb = {4, 16384, 8388608, 8388608}, op = GGML_OP_MUL_MAT, op_params = { 0 <repeats 16 times>}, flags = 0, grad = 0x0, src = {0xb496b0, 0x7ffef1c40950, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}, perf_runs = 0, perf_cycles = 0, perf_time_us = 0, view_src = 0x0, view_offs = 0, data = 0x0, name = "Vcur-0", '\000' <repeats 57 times>, extra = 0x0, padding = "\000\000\000\000\000\000\000"} ``` And after reshaping this tensor we get: ```console gdb) p *ggml_reshape_2d(ctx, v_cur, n_embd_v_gqa, n_tokens) $44 = {type = GGML_TYPE_F32, backend = GGML_BACKEND_TYPE_CPU, buffer = 0x0, ne = {4096, 512, 1, 1}, nb = {4, 16384, 8388608, 8388608}, op = GGML_OP_RESHAPE, op_params = { 0 <repeats 16 times>}, flags = 0, grad = 0x0, src = {0x7ffef1c40e00, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}, perf_runs = 0, perf_cycles = 0, perf_time_us = 0, view_src = 0x7ffef1c40e00, view_offs = 0, data = 0x0, name = "Vcur-0 (reshaped)", '\000' <repeats 46 times>, extra = 0x0, padding = "\000\000\000\000\000\000\000"} ``` I noticed that the `src` and `view_src` fields are different but that the dimensions are the same. From the code comment it seems like the reshape call is not needed and perhaps the above can motivate the removal of the reshape call. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> * llama : add assert --------- Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* cmake: add explicit metal version options * Update CMakeLists.txt --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* readme: add Android UI binding * Update README.md

ggml-ci

* Support xverse model convert to gguf format. * 1. Convert xverse models to gguf; 2. Add LLM_ARCH_XVERSE inference in llama.cpp; 3. Add xverse item in Supported models in README.md; * * gguf-py: remove redundant logs * llama: remove the init_mapping_prefetch custom parameter * llama.cpp: Include the changes from ggml-org#6122 to exclude the unused outputs of the last layers. * - Fix format issues - Remove duplicate set kqv_out to llm_build_kv * Update llama.cpp --------- Co-authored-by: willhe <willhe@xverse.cn> Co-authored-by: willhe <hexin@xverse.cn>

* sync : ggml ggml-ci * cuda : move GGML_CUDA_DMMV constants to dmmv.cuh --------- Co-authored-by: slaren <slarengh@gmail.com>

) * Fix Vulkan no kv offload incoherence * Add k-quant mul mat mat shaders * Rework working buffer allocation, reduces vram use noticeably Clean up cpu assist code, replaced with ggml-backend offload function * Default to all dedicated GPUs * Add fallback for integrated GPUs if no dedicated GPUs are found * Add debug info which device is allocating memory * Fix Intel dequant issue Fix validation issue * Fix Vulkan GGML_OP_GET_ROWS implementation * Clean up merge artifacts * Remove Vulkan warning

* split by max size * clean up arg parse * split: ok * add dry run option * error on 0 tensors * be positive * remove next_metadata_size

* fixed deprecated address * fixed deprecated address * fixed deprecated address * Added 'Apache-2.0' SPDX license identifier due to 'kompute.cc' submodule licensing. Explanation of licensing method: https://docs.fedoraproject.org/en-US/legal/spdx/#_and_expressions * Added 'Apache-2.0' SPDX license identifier due to 'kompute.cc' submodule licensing. Explanation of licensing method: https://docs.fedoraproject.org/en-US/legal/spdx/#_and_expressions * Added 'Apache-2.0' SPDX license identifier due to 'kompute.cc' submodule licensing. Explanation of licensing method: https://docs.fedoraproject.org/en-US/legal/spdx/#_and_expressions * reverted back to only the MIT license

…ml-org#6393)

* ci: server: verify deps are coherent with the commit * ci: server: change the ref to build as now it's a pull event target

Flake lock file updates: • Updated input 'nixpkgs': 'github:NixOS/nixpkgs/44d0940ea560dee511026a53f0e2e2cde489b4d4' (2024-03-23) → 'github:NixOS/nixpkgs/d8fe5e6c92d0d190646fb9f1056741a229980089' (2024-03-29) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* disable iqx on windows as WA * array instead of global_memory

) * ggml : update mul_mat_id to use the same tensor for all the experts * update cuda * minor * update metal * update test-backend-ops * fix cuda * Update ggml-metal.m Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * update convert.py * update convert-hf-to-gguf.py * update convert.py for mixtral hf models * Update convert-hf-to-gguf.py Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * cuda : support non-pow-2 number of experts * allow quantize to work for split and merged experts models in the same way * cleanup + disable mmap automatically with split tensors models * update imatrix * test-backend-ops : test qwen argsort * update grok model loading * llama : add merged experts tensors to the grok tensor map * minor * gguf : bump version * fix quantizing of merged experts * convert-hf-to-gguf.py : update grok (untested) * make linter happy * cuda/argsort : use shared memory instead of pool memory * convert : fix grok tensor names * metal : add support for non-pow-2 argsort * llama : more loader cleanup, better error checking * cuda : fix warning * llama : still use mmap for loading old models, but copy the data to a host buffer * add review note * llama : remove ffn tensor counting + add sanity check ggml-ci * convert : fix handling of n_experts == None ggml-ci * imatrix : fix ncall counters * llama : produce error if imatrix size does not match * quantize : terminate on errors + trace logs ggml-ci * metal : pad shared memory to 16 bytes --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Add openchat chat template * Add chat template test for openchat * Add chat template for vicuna * Add chat template for orca-vicuna * Add EOS for vicuna templates * Combine vicuna chat templates * Add tests for openchat and vicuna chat templates * Add chat template for alpaca * Add separate template name for vicuna-orca * Remove alpaca, match deepseek with jinja output * Regenerate chat template test with add_generation_prompt * Separate deepseek bos from system message * Match openchat template with jinja output * Remove BOS token from templates, unprefix openchat

Co-authored-by: Jared Van Bortel <jared@nomic.ai>

* Create SECURITY.md Signed-off-by: Joyce <joycebrum@google.com> * Fix: link on SECURITY.md Signed-off-by: Joyce <joycebrum@google.com> * Fix: link on SECURITY.md Signed-off-by: Joyce <joycebrum@google.com> * minor * fix * fix --------- Signed-off-by: Joyce <joycebrum@google.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

…l-org#6456) * CI: Update actions/checkout to v4 * CI: Update actions/setup-python to v5 * CI: Update actions/upload-artifact to v4

* initial commit for sealion support * add sealion support * minor fix * q/k ln and pos_embd only if required * Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * minor : clear whitespaces --------- Co-authored-by: bryan <bryansiow@aisingapore.org> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

Co-authored-by: Jonas Holzner <jonas.holzner.external@hensoldt.net>

* Typo fix to server's README.md Fix minor typo ("tonen") in server README. * server readme grammar/style fixes. Quickly went through this file to look for inconsistencies in presentation of defaults, flag options, and looked for typos and grammar issues. Not perfect, but hopefully improved. * Update README.md Remove an extra space before newline.

* Revising GBNF validator program to be much simpler. * Changing from streams to using cstdio * Adding final newline character.

This commit removes one of the two identical checks for curl being NULL in llama_load_model_from_url. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* ci: bench: change trigger path to not spawn on each PR * ci: bench: add more file type for phi-2: q8_0 and f16. - do not show the comment by default * ci: bench: add seed parameter in k6 script * ci: bench: artefact name perf job * Add iteration in the commit status, reduce again the autocomment * ci: bench: add per slot metric in the commit status * Fix trailing spaces

README is called README.md.

…ml-org#6478)

…ml-org#6431)

Name the artifacts in the build CI, so that they get uploaded with separate names, instead of all put into the same `artifact` ZIP. It might be possible to further simplify the packing step (in future PRs).

) * ci: exempt master branch workflows from getting cancelled * apply to bench.yml

* server: add cURL support to `full.Dockerfile` * server: add cURL support to `full-cuda.Dockerfile` and `server-cuda.Dockerfile` * server: add cURL support to `full-rocm.Dockerfile` and `server-rocm.Dockerfile` * server: add cURL support to `server-intel.Dockerfile` * server: add cURL support to `server-vulkan.Dockerfile` * fix typo in `server-vulkan.Dockerfile` Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

…-org#6464) * moved INTEL_MKL guard from gemm_impl to gemm (wrapper) * Update ggml-sycl.cpp Co-authored-by: AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com> --------- Co-authored-by: AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>

…-org#6500) * bench: make n_batch and n_ubatch configurable * bench: update doc for batched bench

* Add MindMac to UI list * Update proprietary description Co-authored-by: slaren <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>

* oai moe * compat with new checkpoint * add attn sink impl * add rope scaling yarn * logits match with latest transformers code * wip chat template * rm trailing space * use ggml_scale_bias * rm redundant is_swa_all * convert interleaved gate_up * graph : fix activation function to match reference (#7) * vocab : handle o200k_harmony special tokens * ggml : add attention sinks support (#1) * llama : add attn sinks * ggml : add attn sinks * cuda : add attn sinks * vulkan : add support for sinks in softmax remove unnecessary return * ggml : add fused swiglu_oai op (#11) * ggml : add fused swiglu_oai op * Update ggml/src/ggml-cpu/ops.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * update CUDA impl * cont : metal impl * add vulkan impl * test-backend-ops : more test cases, clean up * llama : remove unfused impl * remove extra lines --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com> * repack mxfp4 upon conversion * clean up a bit * enable thinking * add quick hack to render only some special tokens * fix bf16 conversion * remove vocab hack * webui ok * support chat parsing for gpt-oss * fix webui * direct mapping mxfp4, FINALLY * force using mxfp4 * properly use lazy tensor * ggml : add mxfp4 ggml : use e8m0 conversion instead of powf Co-authored-by: Diego Devesa <slarengh@gmail.com> change kvalues_mxfp4 table to match e2m1 (#6) metal : remove quantization for now (not used) cuda : fix disabled CUDA graphs due to ffn moe bias vulkan : add support for mxfp4 cont : add cm2 dequant * ggml : add ggml_add_id (#13) * ggml : add ggml_add_id * add cuda impl * llama : add weight support check for add_id * perf opt * add vulkan impl * rename cuda files * add metal impl * allow in-place ggml_add_id * llama : keep biases on CPU with --cpu-moe * llama : fix compile error ggml-ci * cuda : add fallback for __nv_cvt_e8m0_to_bf16raw ggml-ci * cleanup ggml-ci * sycl : fix supports_op for MXFP4 ggml-ci * fix Unknown reasoning format * ggml-cpu : fix AVX build ggml-ci * fix hip build ggml-ci * cuda : add mxfp4 dequantization support for cuBLAS ggml-ci * ggml-cpu : fix mxfp4 fallback definitions for some architectures ggml-ci * cuda : fix version required for __nv_cvt_e8m0_to_bf16raw --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Co-authored-by: slaren <slarengh@gmail.com>

…gml-org#16038) Initalizing RESERVED_NAME in is_reserved_name() is not thread safe and leads to corrupted memory when used from multiple threads as can be seen in the asan trace below. This fixes the initialization to make it thread-safe. #0 0x000100abd018 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) __hash_table:1565 #1 0x000100ab0320 in SchemaConverter::visit(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) json-schema-to-grammar.cpp:802 #2 0x000100aafc48 in std::__1::__function::__func<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2, std::__1::allocator<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> (std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319 #3 0x000100a2c938 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&), std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>, void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319 #4 0x000100a139f8 in foreach_function(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::function<void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)> const&) chat.cpp:762 #5 0x000100a2a7f4 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0, std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0>, void (common_grammar_builder const&)>::operator()(common_grammar_builder const&) function.h:319 #6 0x000100aa98f4 in build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&) json-schema-to-grammar.cpp:982 #7 0x0001009c9314 in common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool) chat.cpp:1110 #8 0x0001009b8afc in common_chat_templates_apply_jinja(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:1992 #9 0x0001009b533c in common_chat_templates_apply(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:2074 #10 0x000100810120 in llamacpp_apply_chat_template+0x724 (predict_oai-98384e17fb94e863:arm64+0x100090120) ... ==45482==Register values: x[0] = 0x00006020004147f8 x[1] = 0x00006080000013c8 x[2] = 0x0000000000000000 x[3] = 0x0000604006289738 x[4] = 0x0000000000000002 x[5] = 0x0000000000000001 x[6] = 0x04034000004b4000 x[7] = 0x0000000000000001 x[8] = 0xbebebebebebebebe x[9] = 0x17d7d7d7d7d7d7d7 x[10] = 0x00000c04000828ff x[11] = 0x0000000000000001 x[12] = 0x000000002018d383 x[13] = 0x0000000000000000 x[14] = 0xfa0000000000fafa x[15] = 0x000010700001ffff x[16] = 0x000000019dc012c0 x[17] = 0x00000001021284f8 x[18] = 0x0000000000000000 x[19] = 0x00000001700acdc0 x[20] = 0x0000000000000002 x[21] = 0x000000002018d384 x[22] = 0x16dd16fd2e731151 x[23] = 0x0000007000020000 x[24] = 0x0000000100c69c08 x[25] = 0x0000000100c69c20 x[26] = 0x00006080000013c7 x[27] = 0x0000000100c69c00 x[28] = 0x00000001700acd60 fp = 0x00000001700aceb0 lr = 0x0000000100abce30 sp = 0x00000001700acd60 AddressSanitizer can not provide additional info. SUMMARY: AddressSanitizer: SEGV __hash_table:1565 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) Thread T5 created by T0 here: #0 0x0001020b99d4 in pthread_create+0x5c (libclang_rt.asan_osx_dynamic.dylib:arm64e+0x359d4) #1 0x000100873910 in std::sys::pal::unix::thread::Thread::new::h77254fdd87a28e05+0x118 (predict_oai-98384e17fb94e863:arm64+0x1000f3910) #2 0x0001007c7a1c in test::run_test::haeb3c2bcd5ed6cf6+0x76c (predict_oai-98384e17fb94e863:arm64+0x100047a1c) #3 0x0001007aedb0 in test::console::run_tests_console::he9d142d704f3a986+0x149c (predict_oai-98384e17fb94e863:arm64+0x10002edb0) #4 0x0001007c5758 in test::test_main::hf86a5e20735245b9+0x118 (predict_oai-98384e17fb94e863:arm64+0x100045758) #5 0x0001007c5da0 in test::test_main_static::h61ee9c8fd30abca0+0x54 (predict_oai-98384e17fb94e863:arm64+0x100045da0) ... ==45482==ABORTING

cebtenzzre and others added 30 commits March 28, 2024 11:44

convert : refactor vocab selection logic (ggml-org#6355)

be55134

[SYCL] Revisited & updated SYCL build documentation (ggml-org#6141)

5106ef4

* Revisited & updated SYCL build documentation * removed outdated comment * Addressed PR comments * Trimed white spaces * added new end line

readme : add notice for UI list

bfe7daf

cmake : add explicit metal version options (ggml-org#6370)

8093987

* cmake: add explicit metal version options * Update CMakeLists.txt --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

readme : add project (ggml-org#6356)

b910287

* readme: add Android UI binding * Update README.md

ci : fix BGE wget (ggml-org#6383)

cfde806

ggml-ci

sync : ggml (ggml-org#6351)

d48ccf3

* sync : ggml ggml-ci * cuda : move GGML_CUDA_DMMV constants to dmmv.cuh --------- Co-authored-by: slaren <slarengh@gmail.com>

split: allow --split-max-size option (ggml-org#6343)

f7fc5f6

* split by max size * clean up arg parse * split: ok * add dry run option * error on 0 tensors * be positive * remove next_metadata_size

ci: bench: fix Resource not accessible by integration on PR event (gg…

37e7854

…ml-org#6393)

readme : update hot topics

c50a82c

ci: server: verify deps are coherent with the commit (ggml-org#6409)

226e819

* ci: server: verify deps are coherent with the commit * ci: server: change the ref to build as now it's a pull event target

compare-llama-bench.py: fix long hexsha args (ggml-org#6424)

33a5244

[SYCL] Disable iqx on windows as WA (ggml-org#6435)

5260486

* disable iqx on windows as WA * array instead of global_memory

readme : update hot topics

076b086

Missing tokenizer.model error during gguf conversion (ggml-org#6443)

db214fa

Co-authored-by: Jared Van Bortel <jared@nomic.ai>

readme : add feature-rich rust bindings (ggml-org#6465)

154d4ee

server: add cURL support to server.Dockerfile (ggml-org#6461)

5d4f12e

ci : update checkout, setup-python and upload-artifact to latest (ggm…

9f62c01

…l-org#6456) * CI: Update actions/checkout to v4 * CI: Update actions/setup-python to v5 * CI: Update actions/upload-artifact to v4

server : handle exception on wrong type in request (ggml-org#6452)

60cdf40

Co-authored-by: Jonas Holzner <jonas.holzner.external@hensoldt.net>

HanClinto and others added 18 commits April 4, 2024 09:32

convert : fix for lint error complaining of bare except (ggml-org#6470)

72d73af

server : add option to disable KV offload (ggml-org#6468)

1a43c72

server : remove obsolete --memory-f32 option

4399f13

examples : add GBNF validator program (ggml-org#5948)

9b84ae1

* Revising GBNF validator program to be much simpler. * Changing from streams to using cstdio * Adding final newline character.

common: remove duplicate check for curl (ggml-org#6471)

4bcd6b9

This commit removes one of the two identical checks for curl being NULL in llama_load_model_from_url. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

Correct README link (ggml-org#6458)

a74401f

README is called README.md.

ci: bench fix concurrency for workflow trigger dispatch with sha1 (gg…

8120efe

…ml-org#6478)

server: allow penalizing repetition of newlines on server webpage (gg…

2e66913

…ml-org#6431)

build CI: Name artifacts (ggml-org#6482)

c666ba2

Name the artifacts in the build CI, so that they get uploaded with separate names, instead of all put into the same `artifact` ZIP. It might be possible to further simplify the packing step (in future PRs).

ci: exempt master branch workflows from getting cancelled (ggml-org#6486

7dda1b7

) * ci: exempt master branch workflows from getting cancelled * apply to bench.yml

readme : fix typo (ggml-org#6481)

b660a57

readme : add Dot to UI list (ggml-org#6487)

a307375

bench : make n_batch and n_ubatch configurable in Batched bench (ggml…

87e21bb

…-org#6500) * bench: make n_batch and n_ubatch configurable * bench: update doc for batched bench

readme : update UI list (ggml-org#6503)

d0f5dee

* Add MindMac to UI list * Update proprietary description Co-authored-by: slaren <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>

gguf.py : add licence and version to gguf writer (ggml-org#6504)

a8bd14d

l3utterfly merged commit 607bb9a into layla-build Apr 6, 2024

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