* Nix flake
* Nix: only add Accelerate framework on macOS
* Nix: development shel, direnv and compatibility
* Nix: use python packages supplied by withPackages
* Nix: remove channel compatibility
* Nix: fix ARM neon dotproduct on macOS
---------
Co-authored-by: Pavol Rusnak <pavol@rusnak.io>
* Implement non-greedy tokenizer that tries to maximize token lengths
* Insert single space in front of the prompt
- this is to match original llama tokenizer behavior
---------
Co-authored-by: Jakub Horak <jakub.horak@ibawizard.net>
The readme tells people to use the command line option "-t 8", causing 8
threads to be started. On systems with fewer than 8 cores, this causes a
significant slowdown. Remove the option from the example command lines
and use /proc/cpuinfo on Linux to determine a sensible default.
* add ptread link to fix cmake build under linux
* add cmake to linux and macos platform
* separate make and cmake workflow
---------
Co-authored-by: Sebastián A <sebastian.aedo29@gmail.com>
* Add AVX2 version of ggml_vec_dot_q4_1
* Small optimisations to q4_1 dot product (@Const-me)
* Rearrange Q4_1 quantization to work for multipart models. (Fix#152)
* Fix ggml_vec_mad_q4_1 too
* Fix non-vectorised q4_1 vec mul
This appear to solve https://github.com/ggerganov/llama.cpp/issues/153
where error of "ggml_new_tensor_impl: not enough space in the context's memory pool" is thrown in interactive mode.
At least the out of memory error come from `ctx0` used here. Although I am not familiar with the code base enough to tell if this is indeed the cause.
* added ctx_size parameter
* added it in more places
* Apply suggestions from code review
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fixed color reset on exit
* added sigint handler for ansi_color_reset
* Update main.cpp
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
There are ways that special tokens or other new tokens could be added to the tokenizer; therefore it's probably best not to assume the vocabulary is only 32000 tokens.
* Don't use vdotq_s32 if it's not available
`dotprod` extensions aren't available on some ARM CPUs (e.g. Raspberry Pi 4), so check for them and only use them if they're available.
Reintroduces the code removed in 84d9015 if `__ARM_FEATURE_DOTPROD` isn't defined.
* Update ggml.c
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
