This change upstreams llamafile's cpu matrix multiplication kernels
which improve image and prompt evaluation speed. For starters, Q4_0
and Q8_0 weights should go ~40% faster on CPU. The biggest benefits
are with data types like f16 / f32, which process prompts 2x faster
thus making them faster than quantized data types for prompt evals.
This change also introduces bona fide AVX512 support since tinyBLAS
is able to exploit the larger register file. For example, on my CPU
llama.cpp llava-cli processes an image prompt at 305 tokens/second,
using the Q4_K and Q4_0 types, which has always been faster than if
we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With
this change, f16 LLaVA performance leap frogs to 464 tokens/second.
On Intel Core i9-14900K this change improves F16 prompt perf by 5x.
For example, using llama.cpp at HEAD with Mistral 7b f16 to process
a 215 token prompt will go 13 tok/sec. This change has fixes making
it go 52 tok/sec. It's mostly thanks to my vectorized outer product
kernels but also because I added support for correctly counting the
number of cores on Alderlake, so the default thread count discounts
Intel's new efficiency cores. Only Linux right now can count cores.
This work was sponsored by Mozilla who's given permission to change
the license of this code from Apache 2.0 to MIT. To read more about
what's improved, and how it works, see: https://justine.lol/matmul/
* cmake : fix build when .git does not exist
* cmake : simplify BUILD_INFO target
* cmake : add missing dependencies on BUILD_INFO
* build : link against build info instead of compiling against it
* zig : make build info a .cpp source instead of a header
Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>
* cmake : revert change to CMP0115
---------
Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>
* implementing parallel decoding in server example
* crash fixed
* save dev progress
* refactored sampling function
* completion endpoint working
* multiple client support
* grammar + no stream completion
* cached prompt support
* chat.mjs support cached prompt + some fixes
* server ui now support multiple clients
* unused change reverted
* fixed timings per slot
* add context swap
* add changes to README.md
* llava multimodal integration
* fixed tokens probs
* add multimodal input - alfa
* refactor code + remove unused comments + improved README.md
* fix compilation errors with llvm
* notify the user from server ui that multimodality is unavialable
* some ci fixes
* fix ci make build undefined ref errors
* fix long prompt than ctx proposed in #3639
* fixed premature end due stop word
* context shift fixed
* fix llava implementation
* sync README.md changes
* readme change
* update api like OpenAI
* multimodal support enabled by default
* fix make bui;d errors
* fix multiple clients
* fix zig build
* new sampling API
* latest changes of sampling API
* server : coding-style normalization
* server : coding-style normalization (part 2)
* server : remove beam-search functionality
* server : bug fix in ingest_images
n_tokens is incremented internally by llama_batch_add
* server : use refs + use llama_batch_clear()
* server : snake case
* server : minor sync
* added thread safe pipeline
* server : bach has to be allocated for n_parallel sequences
* server : no need for atomic int - already using mutex
* server : logs + minor code style
* server : fix multibyte handle in partial response (#3706)
* fix image load + view image in chat
* make : silence stb warnings
* clip : link to ggml, not to llama
* server : fix switch fallthrough
* server : fix crash in Debug on macOS (I have no idea why this fixes it!?)
* server : refactor ctx_sampling init + n_ctx + names
* server : bug fix for prompt caching
* Do not save/load image_data to localStorage
* editorconfig : new line in index.html
* server : completion requests remember slot_id
* Update readme to document multimodal in server
* server : minor style
* Update readme to document multimodal in server
* server : hide ctx_sampling->prev behind API (#3696)
* server : apply fix from #3722
* server : fix slot reuse
* server : add comment about changing slot_state to bool
---------
Co-authored-by: FSSRepo <go778sgt@gmail.com>
Co-authored-by: Damian Stewart <d@damianstewart.com>
Co-authored-by: Steward Garcia <57494570+FSSRepo@users.noreply.github.com>
Co-authored-by: Jhen-Jie Hong <iainst0409@gmail.com>
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
* 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
