b5787

Add Conv2d for CPU (#14388)

* Conv2D: Add CPU version

* Half decent

* Tiled approach for F32

* remove file

* Fix tests

* Support F16 operations

* add assert about size

* Review: further formatting fixes, add assert and use CPU version of fp32->fp16

b5599

gguf-py : add add_classifier_output_labels method to writer (#14031)

* add add_classifier_output_labels

* use add_classifier_output_labels

b5572

gguf: fix failure on version == 0 (#13956)

b5568

sync : ggml

ggml-ci

b2998

train : change default FA argument (#7528)

b2961

llama : add phi3 128K model support (#7225)

* add phi3 128k support in convert-hf-to-gguf

* add phi3 128k support in cuda

* address build warnings on llama.cpp

* adjust index value in cuda long rope freq factors

* add long rope support in ggml cpu backend

* make freq factors only depend on ctx size

* remove unused rope scaling type 'su' frin gguf converter

* fix flint warnings on convert-hf-to-gguf.py

* set to the short freq factor when context size is small than trained context size

* add one line of comments

* metal : support rope freq_factors

* ggml : update ggml_rope_ext API to support freq. factors

* backends : add dev messages to support rope freq. factors

* minor : style

* tests : update to use new rope API

* backends : fix pragma semicolons

* minor : cleanup

* llama : move rope factors from KV header to tensors

* llama : remove tmp assert

* cuda : fix compile warning

* convert : read/write n_head_kv

* llama : fix uninitialized tensors

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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

b2918

ggml : fix quants nans when all the group weights are very close to z…

b2824

cmake : fix typo (#7151)