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Aug 8, 2024
l3utterfly
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* add truncate_bf16 * truncate intermediate fp32 if converting bf16 to bf16 * fix masking in __compute_fp32_to_bf16 * np.int16 no longer used * missing cast and additional numpy 2.x fix * ggml-impl : do not flush bf16 subnormals to zero * ggml : add reference fp32 to bf16 conversion The fast version is no longer equivalent for all platforms because of the handling of subnormal values. * gguf-py : remove flush to zero for bf16 subnormals * gguf-py : remove float32 truncation to bf16 Rounding achieves the same thing in the cases where this was used. * missed prototype update in merge * merge cleanup --------- Co-authored-by: Francis Couture-Harpin <[email protected]>
* ggml : reading the runtime sve config of the cpu * change to one time init to prevent performance drop * prefix variable to avoid possible conflicts * revert xxhash fix and add brackets --------- Co-authored-by: domke <[email protected]>
* [example] batched-bench "segmentation fault" When `llama-batched-bench` is invoked _without_ setting `-npl`, "number of parallel prompts", it segfaults. The segfault is caused by invoking `max_element()` on a zero-length vector, `n_pl` This commit addresses that by first checking to see if the number of parallel prompts is zero, and if so sets the maximum sequence size to 1; otherwise, sets it to the original, the result of `max_element()`. Fixes, when running `lldb build/bin/llama-batched-bench -- -m models/Meta-Llama-3-8B.gguf` ``` * thread #1, queue = 'com.apple.main-thread', stop reason = EXC_BAD_ACCESS (code=1, address=0x0) frame #0: 0x000000010000366c llama-batched-bench`main(argc=3, argv=0x000000016fdff268) at batched-bench.cpp:72:28 69 llama_context_params ctx_params = llama_context_params_from_gpt_params(params); 70 71 // ensure enough sequences are available -> 72 ctx_params.n_seq_max = *std::max_element(n_pl.begin(), n_pl.end()); ``` * Update examples/batched-bench/batched-bench.cpp Co-authored-by: compilade <[email protected]> --------- Co-authored-by: Georgi Gerganov <[email protected]> Co-authored-by: compilade <[email protected]>
* Don't ignore llama.cpp params * Add fallback for max_tokens
This commit moves the comment for the c parameter from ggml_rope to ggml_rope_ext. The comment is currently incorrect as ggml_rope does not have a c parameter (freq_factors tensor). Signed-off-by: Daniel Bevenius <[email protected]>
* Fix Vulkan repeat op * Implement Vulkan concat op * Delete old Vulkan shader generator * Implement Vulkan im2col op * Implement Vulkan unary gelu_quick op * Implement Vulkan group_norm op * Implement Vulkan timestep_embedding op * Implement Vulkan upscale op * Fix Vulkan vk_context tensor extra index issue * Fix Vulkan matmul shader parameter bug * Properly fix Vulkan matmul shader parameter bug * Add Vulkan ADD f16 + f32 -> f16 operator support * Implement Vulkan tanh op * Fix Vulkan group count too large Validation error on non-Nvidia GPUs * Throw error when too much memory is requested * Fix another Vulkan group count too large Validation error on non-Nvidia GPUs * Fix matmul MMQ condition * Implement Vulkan pad op * Fix Vulkan crash when tensor is used multiple times in a compute graph * Add Vulkan CONCAT f16 + f16 -> f16 op * Add Vulkan LEAKY_RELU op
ggml-ci
…ov#8855) * Fix Vulkan mul mat vec invalid results when ncols < warp size * Only run backend ops mul mat vec block size test if block size not already covered
…#8573) * Vulkan-shaders: attempt fix compilation on windows * fix miss-matched parenthesis
… Llama 3.1 tool call support (ggerganov#8858) * gguf-py, llama : add constants and methods related to Llama-3.1 <|eom_id|> token * llama : find Llama-3.1 <|eom_id|> token id during vocab loading * llama-vocab : add Llama-3.1 <|eom_id|> token to the set of tokens stopping the generation --------- Co-authored-by: Stanisław Szymczyk <[email protected]>
* py: add more authorship metadata from model card * fixup! py: add more authorship metadata from model card
It's helpful to use expm1f(x), because expf(x)-1 will result in overflow for 25% of single-precision floating point numbers.
ramalama is a repo agnostic boring CLI tool that supports pulling from ollama, huggingface and oci registries. Signed-off-by: Eric Curtin <[email protected]>
* common : Changed tuple to struct (TODO fix) Use struct `llama_init_result` to replace the previous std::tuple<struct llama_model *, struct llama_context *> * delete llama_init_default_params() * delete the extra whitespace
* cann: fix ggml_backend_cann_buffer_get_tensor 1. fix data ptr offset 2. enable the acquisition of incomplete tensors * fix backend cann set_tensor
* add conversion for bge-m3; small fix in unigram tokenizer * clean up and simplify XLMRoberta conversion
Signed-off-by: Molly Sophia <[email protected]>
…e31a4f6` (ggerganov#8880) * Fix compilation issue in `vulkan-shaders-gen` ggerganov@e31a4f6 broke compilation on w64devkit. Including `algorithm` seems to fix that. * Guard it under `#ifdef _WIN32`
When using CMake to build with Vulkan support, compiling
vulkan-shaders-gen fails due to missing a CMakeLists.txt specification
to link vulkan-shaders-gen with the threading library, resulting in the
following error.
[5/172] Linking CXX executable bin/vulkan-shaders-gen
FAILED: bin/vulkan-shaders-gen
: && /usr/bin/c++ ggml/src/vulkan-shaders/CMakeFiles/vulkan-shaders-gen.dir/vulkan-shaders-gen.cpp.o -o bin/vulkan-shaders-gen && :
ld: error: undefined symbol: pthread_create
>>> referenced by vulkan-shaders-gen.cpp
>>> ggml/src/vulkan-shaders/CMakeFiles/vulkan-shaders-gen.dir/vulkan-shaders-gen.cpp.o:(std::__1::__libcpp_thread_create[abi:se180100](pthread**,
>>> void* (*)(void*), void*))
c++: error: linker command failed with exit code 1 (use -v to see invocation)
[6/172] Generating build details from Git
-- Found Git: /usr/local/bin/git (found version "2.45.2")
ninja: build stopped: subcommand failed.
Add the CMakeLists.txt specification to link vulkan-shaders-gen with the
threading library and fix the above error.
Fixes ggerganov#8834
This commit updates the name of the executable in README.md from `simple` to `llama-simple`.
* server : add lora hotswap endpoint * handle lora_no_apply * fix build * updae docs * clean up struct def * fix build * add LoRA test * fix style
This commit updates the usage comment in quantize.cpp to reflect the new name of the executable, which is llama-quantize.
…8824) * Add support for getting cpu info on Windows for llama_bench * refactor --------- Co-authored-by: slaren <[email protected]>
* Updated device filter to depend on default_selector (fixes non-intel device issues) * Small related update to example/sycl Readme
* ggml-backend : fix async copy from CPU * cuda : more reliable async copy, fix stream used when the devices are the same
* make : use C compiler to build metal embed object * use rm + rmdir to avoid -r flag in rm
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