merge from upstream #45
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
* metal : add quantized FA (vec) support ggml-ci * metal : add quantized FA (non-vec) support * metal : fix support check ggml-ci * metal : clean-up * metal : clean-up (cont) * metal : fix shared memory calc + reduce smem + comments * metal : float-correctness * metal : minor [no ci]
* ggml : add initial BF16 support ggml-ci * metal : add mul_mat_id BF16 support ggml-ci * metal : check for bfloat support on the Metal device ggml-ci * metal : better var names [no ci] * metal : do not build bfloat kernels when not supported ggml-ci * metal : try to fix BF16 support check ggml-ci * metal : this should correctly check bfloat support
…eleration (ggml-org#10133) * rwkv6: rename to wkv6 * rwkv6: support avx2 avx512 armv8 armv9 * rwkv6: update cuda file name * rwkv6: rename params * wkv on sycl * sycl: add some ops * sycl: Enhance OP support judgment * wkv6: drop armv9 and tranfer to GGML style ggml-ci * sync : ggml * update the function to use appropriate types * fix define error * Update ggml/src/ggml-cpu.c * add appropriate asserts * move element-wise functions outside * put the declaration outside the loop * rewrite to be more inline with the common pattern for distributing threads * use recommended way GGML_TENSOR_LOCALS --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Diego Devesa <slarengh@gmail.com> Co-authored-by: Plamen Minev <pacominev@gmail.com> Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com> Co-authored-by: Meng, Hengyu <airdldl@163.com>
Co-authored-by: EC2 Default User <ec2-user@ip-172-31-62-167.us-west-2.compute.internal>
* server : simple chat UI with vuejs and daisyui * move old files to legacy folder * embed deps into binary * basic markdown support * add conversation history, save to localStorage * fix bg-base classes * save theme preferences * fix tests * regenerate, edit, copy buttons * small fixes * docs: how to use legacy ui * better error handling * make CORS preflight more explicit * add GET method for CORS * fix tests * clean up a bit * better auto scroll * small fixes * use collapse-arrow * fix closeAndSaveConfigDialog * small fix * remove console.log * fix style for <pre> element * lighter bubble color (less distract when reading)
* llama.swift : exclude ggml-metal-embed.metal * swift : exclude build/
* ggml : add ggml_flash_attn_ext_get_prec * metal : use F16 precision in FA kernels ggml-ci * metal : minor clean-up * metal : compile-guard bf16 FA kernels ggml-ci * build : remove obsolete compile flag [no ci] * metal : prevent int overflows [no ci] * cuda : disable BF16 FA ggml-ci * metal : fix BF16 requirement for FA kernels ggml-ci * make : clean-up [no ci]
* metal : opt-in compile flag for BF16 ggml-ci * ci : use BF16 ggml-ci * swift : switch back to v12 * metal : has_float -> use_float ggml-ci * metal : fix BF16 check in MSL ggml-ci
…-org#10156) This change upstreams llamafile's cpu matrix multiplication kernels for ppc64le using MMA builtins for FP32 datatype. This change results in a consistent 90% improvement in input processing time, and 20% to 80% improvement in output processing time, across various batch sizes. The patch is tested with Meta-Lllama-3-8B, Mistral-7B, Llama-2-7B-chat-hf models on a IBM POWER10 machine. Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
…ator when ‘ne’ is small (ggml-org#10213)
* metal : reorder write loop * metal : int -> short, style ggml-ci
* Add back samplers to server * Added tooltips with basic information * Fixed stretching of input fields. * use component for settings input, move help msg to tooltips --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* use 128 bit loads (i've tried 256->128 to death and its slower) * double accumulator * avx bf16 vec dot * +3% q4_0 inference * +7% tg +5% pp compared to master * slower f16c version, kep for reference * 256b version, also slow. i tried :) * revert f16 * faster with madd * split to functions * Q8_0 and IQ4_NL, 5-7% faster * fix potential overflow (performance reduced) * 16 bit add for q4_0 only * merge
Compute two result elements per workgroup (for Q{4,5}_{0,1}). This reuses
the B loads across the rows and also reuses some addressing calculations.
This required manually partially unrolling the loop, since the compiler
is less willing to unroll outer loops.
Add bounds-checking on the last iteration of the loop. I think this was at
least partly broken before.
Optimize the Q4_K shader to vectorize most loads and reduce the number of
bit twiddling instructions.
github-actions
bot
added
documentation
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
20 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.