* server: add option to output probabilities for completion
* server: fix issue when handling probability output for incomplete tokens for multibyte character generation
* server: fix llama_sample_top_k order
* examples/common.h: put all bool variables in gpt_params together
It's currently not possible to cross-compile llama.cpp for aarch64
because CMakeLists.txt forces -mcpu=native for that target.
-mcpu=native doesn't make sense if your build host is not the
target architecture, and clang rejects it for that reason, aborting the
build. This can be easily reproduced using the current Android NDK to build
for aarch64 on an x86_64 host.
If there is not a specific CPU-tuning target for aarch64 then -mcpu
should be omitted completely. I think that makes sense, there is not
enough variance in the aarch64 instruction set to warrant a fixed -mcpu
optimization at this point. And if someone is building natively and wishes
to enable any possible optimizations for the host device, then there is
already the LLAMA_NATIVE option available.
Fixes#495.
* convert checks in llama_load_session_file to throw and handle them
* make llama_load_session_file_internal static
* address feedbacks to avoid using exceptions
* Added broken new q4k quant
* xx + ib0
* Fix q2_k fast kernel
* Use preprocessor for QK_K
* Add q6_k fast matmul kernel
* ported q3k speedup successfully
* ported q2k and q5k speedups
* remove old dot kernels and template
* fixed global const struct types
* fixing address spaces
* fixed string too long CI issue
---------
Co-authored-by: 0cc4m <picard12@live.de>
* Remove multiple shards
* Remove multiple file loaders
* Remove llama_load_tensor_shard class
* Simplify load logic
* Remove dead code guess_n_parts function
* Remove vocab_only from constructor of llama_model_loader
* Remove alignment_prevents_mmap which is not more needed.
* Remove useless check
WangHaoranRobin
Ycros
Concedo
Georgi Gerganov
Johannes Gäßler
Daniel Drake
Aaron Miller
Judd
Rand Xie
Qingyou Meng
YellowRoseCx
bebopkim
Howard Su
m3ndax
Salvador E. Tropea