* CMake: Add AVX512 option
* CI: Add AVX/AVX512 builds (Windows)
(AVX512 tests can only be run when the worker happens to support it, building works anyway)
* CMake: Fix sanitizer linkage ( merged #468 )
* CI: Add sanitizer builds (Ubuntu)
* CI: Fix release tagging
(change @zendesk/action-create-release to @anzz1/action-create-release until upstream PR Added commitish as input zendesk/action-create-release#32 is merged)
- main -> examples
- utils -> examples (renamed to "common")
- quantize -> examples
- separate tools for "perplexity" and "embedding"
Hope I didn't break something !
* Retire the ggml_mul_mat() for transposed src0
- It can always be made contiguous with ggml_cpy()
- The code is now simplified
- The results are deterministic in respect to num threads
* SIMD-ify dequantize_row_q4_0() for ARM_NEON (#502)
* Attempt to SIMD-ify dequantize_row_q4_0() for ARM_NEON
* Fix dequantization - forgot to interleave the quants
`llama_sample_top_p_top_k` was missing the struct annotation on line 126.
This causes a compiler issue when being parsed by the Kotlin C interop generator.
This commit fixes the above issue by adding the struct annotation.
* Reduce memory usage and allocate enough memory for large contexts
* Simpler scratch buffer usage
* Reenable BLAS for quantized mul_mat
* Fix number of layers in 30B and 65B
* Fix KV cache size for F32
changes to EOS behavior in interactive and reverse prompt handling broke instruct mode by erroneously injecting instruct mode's reverse prompt and an extra newline.
* Support calling mlock() on loaded model data on Linux and macOS
This is enabled by a new --mlock command line option.
Using mlock() disables swapping and memory compression for the model
data. Doing so can be useful on systems where the model takes up a
large fraction of system RAM. In my experience, macOS is quite eager to
start compressing llama.cpp's memory, which then makes it halt for a few
seconds while it decompresses, even with a model that uses "only" 25GB
out of 32GB.
Of course, this comes at the cost of forcing the system to swap or
compress other processes' memory instead, so it needs to be used with
care and shouldn't be enabled by default.
In theory it should be possible to support this on Windows as well using
VirtualLock(), but I'm not much of a Windows user.
* Update llama.cpp
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* working but ugly
* add arg flag, not working on embedding mode
* typo
* Working! Thanks to @nullhook
* make params argument instead of hardcoded boolean. remove useless time check
* start doing the instructions but not finished. This probably doesnt compile
* Embeddings extraction support
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
