nem1 must be a multiple of GGML_KQ_MASK_PAD, and GGML_KQ_MASK_PAD is a multiple
of the number of rows in the matrix. The KV dim is a multiple of the number of
columns for the aligned shader.
* common: custom hf endpoint support
Add support for custom huggingface endpoints via HF_ENDPOINT environment variable
You can now specify a custom huggingface endpoint using the HF_ENDPOINT environment variable when using the --hf-repo flag, which works similarly to huggingface-cli's endpoint configuration.
Example usage:
HF_ENDPOINT=https://hf-mirror.com/ ./bin/llama-cli --hf-repo Qwen/Qwen1.5-0.5B-Chat-GGUF --hf-file qwen1_5-0_5b-chat-q2_k.gguf -p "The meaning to life and the universe is"
The trailing slash in the URL is optional:
HF_ENDPOINT=https://hf-mirror.com ./bin/llama-cli --hf-repo Qwen/Qwen1.5-0.5B-Chat-GGUF --hf-file qwen1_5-0_5b-chat-q2_k.gguf -p "The meaning to life and the universe is"
* Update common/arg.cpp
readability Improvement
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* Apply suggestions from code review
---------
Co-authored-by: ベアトリーチェ <148695646+MakiSonomura@users.noreply.github.com>
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* Upgrade daisyui, tailwindcss.
* Switch to all themes.
* Revert a change.
* Update formatting.
* Install packages before npm build.
* Revert "Install packages before npm build."
This reverts commit 336c5147e614e60993162794ba9d9d4629a916f8.
* Add index.html.gz
* run build
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This commit adds a new section to the README.md file, detailing the
usage of the XCFramework.
The motivation for this is that it might not be immediately clear to
users how to use the XCFramework in their projects and hopefully this
will help.
There seems to be a bubble waking up from waitForFences, which costs a few
percent performance and also increased variance in performance. This change
inserts an "almost_ready" fence when the graph is about 80% complete and we
waitForFences for the almost_ready fence and then spin (with _mm_pauses) waiting
for the final fence to be signaled.
* Prefer vector flash decoding kernel for Gemma models
Vector flash decoding kernel was not being picked for models with head dimension 256. Gemma models are in this category.
Removing this limit improves e2e performance by upto 12% in gen phase throughput for Gemm models.
* Update ggml/src/ggml-cuda/fattn.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
HimariO
Concedo
Xuan-Son Nguyen
zhouwg
hipudding
R0CKSTAR
Jeff Bolz
0cc4m
Sergey Fedorov
エシュナヴァリシア
Olivier Chafik
Georgi Gerganov
bandoti
Nauful Shaikh
nick huang
Nicolò Scipione
Ronny Brendel
Daniel Bevenius
lhez
Gaurav Garg
yumeyao