]> git.djapps.eu Git - pkg/ggml/sources/llama.cpp/commit
requirements : update transformers/torch for Embedding Gemma (#15828)
authorDaniel Bevenius <redacted>
Tue, 9 Sep 2025 04:06:52 +0000 (06:06 +0200)
committerGitHub <redacted>
Tue, 9 Sep 2025 04:06:52 +0000 (06:06 +0200)
commit70cd37dbbebdb7a2f84f08207f18eabb0b291a55
tree12086cc4fc7c87a7b06efbbd2d1b79787fc483ac
parentacc1b008cfd95e63d5f99a370dbffb98e5a99d2c
requirements : update transformers/torch for Embedding Gemma (#15828)

* requirements : update transformers/torch for Embedding Gemma

This commit updates the requirements to support converting
Embedding Gemma 300m models.

The motivation for this change is that during development I had a local
copy of the transformers package which is what I used for converting
the models. This was a mistake on my part and I should have also updated
my transformers version to the official release.

I had checked the requirements/requirements-convert_legacy_llama.txt
file and noted that the version was >=4.45.1,<5.0.0 and came to the
conculusion that no updated would be needed, this assumed that
Embedding Gemma would be in a transformers release at the time
Commit fb15d649ed14ab447eeab911e0c9d21e35fb243e ("llama : add support
for EmbeddingGemma 300m (#15798)) was merged. So anyone wanting to
convert themselves would be able to do so. However, Embedding Gemma is
a preview release and this commit updates the requirements to use this
preview release.

* resolve additional python dependencies

* fix pyright errors in tokenizer test and remove unused import
requirements/requirements-convert_hf_to_gguf.txt
requirements/requirements-convert_legacy_llama.txt
requirements/requirements-tool_bench.txt
tests/test-tokenizer-random.py
tools/mtmd/legacy-models/minicpmv-convert-image-encoder-to-gguf.py
tools/mtmd/requirements.txt
tools/server/tests/requirements.txt