mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-30 13:24:35 +00:00
f486f6e1e5
* Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverted Makefile * Fixed include * Removed sched.h from ggml.h, moved ggml_get_numa_affinity into ggml.c, removed trailing whitespace and fixed up a few inconsistent variables * removed trailing whitespace * Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverting Makefile * Fixed a number of issues with the move from BOOL to ggml_numa_strategies. Added a note about mirror mode note being implemented yet * Removing MIRROR_MODE code for this PR * Removing last bit of MIRROR_MODE code for this PR * Removing unneeded branch in server.cpp example and moving get_numa_affinity and making it static * Fixed lingering init_llama_backend() bool calls in tests and examples * Remote enum llama_numa_strategies * Revert bad merge with dynatemp flags * add missing enum ggml_numa_strategies declaration and revert sync problem with master * add missing enum ggml_numa_strategies declaration * fixed ggml_init_numa variable * Update ggml.h Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update READMEs with info about numa flags, change INTERLEAVE strategy name to DISTRIBUTE everywhere, implement the improved distribution strategy from @rankaiyx, fix a spelling mistake and un-merge some bad merges * split numa init out from llama_backend_init and created llama_numa_init. Updated all code paths and samples * Fix up some boolean vs enum comparisons * Added #ifdefs for non-Linux OS that don't have cpu_set_t datatype * Update ggml.h Align enum values Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c Remove whitespace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c align paremeters Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/server/server.cpp remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update common/common.cpp Remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * unified ggml_numa_strategy enum and fixed text alignment in server.cpp example * Update ggml.c simplified return for platforms without NUMA support Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * removed redundant else from cli argument processing of --numa * whitespace --------- Co-authored-by: root <root@nenya.lothlorien.ca> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Jared Van Bortel <jared@nomic.ai> |
||
|---|---|---|
| .. | ||
| CMakeLists.txt | ||
| infill.cpp | ||
| README.md | ||
llama.cpp/example/infill
This example shows how to use the infill mode with Code Llama models supporting infill mode. Currently the 7B and 13B models support infill mode.
Infill supports most of the options available in the main example.
For further information have a look at the main README.md in llama.cpp/example/main/README.md
Common Options
In this section, we cover the most commonly used options for running the infill program with the LLaMA models:
-m FNAME, --model FNAME: Specify the path to the LLaMA model file (e.g.,models/7B/ggml-model.bin).-i, --interactive: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.-n N, --n-predict N: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.-c N, --ctx-size N: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference.
Input Prompts
The infill program provides several ways to interact with the LLaMA models using input prompts:
--in-prefix PROMPT_BEFORE_CURSOR: Provide the prefix directly as a command-line option.--in-suffix PROMPT_AFTER_CURSOR: Provide the suffix directly as a command-line option.--interactive-first: Run the program in interactive mode and wait for input right away. (More on this below.)
Interaction
The infill program offers a seamless way to interact with LLaMA models, allowing users to receive real-time infill suggestions. The interactive mode can be triggered using --interactive, and --interactive-first
Interaction Options
-i, --interactive: Run the program in interactive mode, allowing users to get real time code suggestions from model.--interactive-first: Run the program in interactive mode and immediately wait for user input before starting the text generation.--color: Enable colorized output to differentiate visually distinguishing between prompts, user input, and generated text.
Example
./infill -t 10 -ngl 0 -m models/codellama-13b.Q5_K_S.gguf -c 4096 --temp 0.7 --repeat_penalty 1.1 -n 20 --in-prefix "def helloworld():\n print(\"hell" --in-suffix "\n print(\"goodbye world\")\n "