* 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
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| .. | ||
| convert_image_encoder_to_gguf.py | ||
| glmedge-convert-image-encoder-to-gguf.py | ||
| glmedge-surgery.py | ||
| llava_surgery.py | ||
| llava_surgery_v2.py | ||
| minicpmv-convert-image-encoder-to-gguf.py | ||
| minicpmv-surgery.py | ||