* llama-server : implement universal assisted decoding
* Erase prompt tail for kv-cache
* set vocab_dft_compatible in common_speculative
* rename ctx_main to ctx_tgt
* move vocab_dft_compatible to spec struct
* clear mem_dft, remove mem
* detokenize id_last for incompatible models
* update comment
* add --spec-replace flag
* accept special tokens when translating between draft/main models
* Escape spec-replace
* clamp draft result to size to params.n_draft
* fix comment
* clean up code
* restore old example
* log common_speculative_are_compatible in speculative example
* fix
* Update common/speculative.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update common/speculative.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update common/speculative.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Add support for Llada-8b: diffusion model
* Add README
* Fix README and convert_hf_to_gguf
* convert_hf_to_gguf.py: address review comments
* Make everything in a single example
* Remove model-specific sampling
* Remove unused argmax
* Remove braced initializers, improve README.md a bit
* Add diffusion specific gguf params in set_vocab, remove setting rope_theta and rms_norm_eps
* Remove adding the mask token
* Move add_add_bos_token to set_vocab
* use add_bool in gguf_writer.py
* imatrix : allow processing multiple chunks per batch
* perplexity : simplify filling the batch
* imatrix : fix segfault when using a single chunk per batch
* imatrix : use GGUF to store imatrix data
* imatrix : fix conversion problems
* imatrix : use FMA and sort tensor names
* py : add requirements for legacy imatrix convert script
* perplexity : revert changes
* py : include imatrix converter requirements in toplevel requirements
* imatrix : avoid using designated initializers in C++
* imatrix : remove unused n_entries
* imatrix : allow loading mis-ordered tensors
Sums and counts tensors no longer need to be consecutive.
* imatrix : more sanity checks when loading multiple imatrix files
* imatrix : use ggml_format_name instead of std::string concatenation
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* quantize : use unused imatrix chunk_size with LLAMA_TRACE
* common : use GGUF for imatrix output by default
* imatrix : two-way conversion between old format and GGUF
* convert : remove imatrix to gguf python script
* imatrix : use the function name in more error messages
* imatrix : don't use FMA explicitly
This should make comparisons between the formats easier
because this matches the behavior of the previous version.
* imatrix : avoid returning from void function save_imatrix
* imatrix : support 3d tensors with MUL_MAT
* quantize : fix dataset name loading from gguf imatrix
* common : move string_remove_suffix from quantize and imatrix
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* imatrix : add warning when legacy format is written
* imatrix : warn when writing partial data, to help guess dataset coverage
Also make the legacy format store partial data
by using neutral values for missing data.
This matches what is done at read-time for the new format,
and so should get the same quality in case the old format is still used.
* imatrix : avoid loading model to convert or combine imatrix
* imatrix : avoid using imatrix.dat in README
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Support diffusion models: Add Dream 7B
* Move diffusion to examples
* Move stuff to examples. Add patch to not use kv-cache
* Address review comments
* Make sampling fast
* llama: remove diffusion functions
* Add basic timings + cleanup
* More cleanup
* Review comments: better formating, use LOG instead std::cerr, re-use batch, use ubatch instead of max_length
* fixup!
* Review: move everything to diffusion-cli for now
* initial commit for handling extra template kwargs
* enable_thinking and assistant prefill cannot be enabled at the same time
* can set chat_template_kwargs in command line
* added doc
* fixed formatting
* add support for extra context in generic template init
* coding standard: common/chat.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* coding standard: common/chat.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Apply suggestions from code review
coding standard: cosmetic changes
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix merge conflict
* chat.cpp: simplify calls to apply to ensure systematic propagation of extra_context (+ the odd existing additional_context)
* normalize environment variable name
* simplify code
* prefill cannot be used with thinking models
* compatibility with the new reasoning-budget parameter
* fix prefill for non thinking models
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Olivier Chafik <olivier.chafik@gmail.com>
* llama : add thread safety test
* llamafile : remove global state
* llama : better LLAMA_SPLIT_MODE_NONE logic
when main_gpu < 0 GPU devices are not used
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Currently when a model generates output which looks like a tool call,
but is invalid an exception is thrown and not handled, causing the cli
or llama-server to bail. Instead, handle the chat parser exception and
simply return the generated text in such cases.
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
* cmake: Simplify build-info.cpp generation
The rebuild of build-info.cpp still gets triggered when .git/index gets
changes.
* cmake: generate build-info.cpp in build dir
* llama : deprecate llama_kv_self_ API
ggml-ci
* llama : allow llama_memory_(nullptr)
ggml-ci
* memory : add flag for optional data clear in llama_memory_clear
ggml-ci
* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling
We talked about adding LOW priority for GGML threads in the original threadpool PR.
It might be useful for some cases to avoid contention.
Latest Windows ARM64 releases started parking (offlining) the CPU cores
more aggresively which results in suboptimal performance with n_threads > 4.
To deal with that we now disable Power Throttling for our threads for the NORMAL
and higher priorities.
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* threading: disable SetThreadInfo() calls for older Windows versions
* Update tools/llama-bench/llama-bench.cpp
Co-authored-by: Diego Devesa <slarengh@gmail.com>
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* convert: add support for BertForSequenceClassification
* add support for reranking using BertForSequenceClassification
* merge checks of eos and sep
* fix lint
---------
Co-authored-by: dinhhuy <huy.dinh@brains-tech.co.jp>
* add preludes to content on partial regex match
* allow all parsers to parse non-tool-call content.
* tweak order of <|python_tag|> vs <function= parsing for functionary v3.1 format. still not ideal but hopefully less prone to crash
* fix deltas of tool_call.function.name
* fix tool_call.id (was in tool_call.function.id!) + add function type
* add tool_call.type
* populate empty tool_call.function.arguments on first delta
