* Fix mirostat state when using multiple sequences
* Fix mirostat by completely refactoring sampling!
* Try to fix zig build.
* Export function to fetch/create default sampler states
Code formatting cleanups and add some comments
Silence a warning about id not being used when logging is disabled
* Apply some renaming suggestions.
Fix comments that were out of sync with the pull.
* Use more consistant naming convention for sampling contexts
* infill tokens correction
* serverinfill tokens correction
* removing any leading whitespace from infill suffix and removing leeading space token from suffix when params.escape
* removing any leading whitespace from infill suffix and removing leeading space token from suffix when params.escape
* only rm when params.escape, rm space if possible which is added back or rm added space token
* only rm when params.escape, rm space if possible which is added back or rm added space token
* Revert "only rm when params.escape, rm space if possible which is added back or rm added space token"
This reverts commit 63ba0b621f.
* fix interactive prompt escaping and fix server infill leading space handling
* rm unnecessary bool check
* vvhg-code-infill (#1)
* infill in separate example (#2)
* reverted changes to main and added infill example
* cleanup
* naming improvement
* make : add missing blank line
* fix missing semicolon
* brought infill up to current main code
* cleanup
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Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
* llama.cpp : split llama_context_params into model and context params
ggml-ci
* fix metal build
* fix freq_base/scale default to model value
* llama-bench : keep the same model between tests when possible
* move n_threads to llama_context_params, add n_threads_batch
* fix mpi build
* remove kv_size(), cuda scratch fixes
* remove low-vram option
* add n_threads_batch to system info, refactor to get_system_info()
* add documentation about --threads-batch to the READMEs
* llama-bench fix
* main : fix rope freq/scale warning
* llama.cpp : add llama_get_model
common : add llama_tokenize from model
* remove duplicated ctx/model functions
ggml-ci
* cuda : print total VRAM used