Daniel Bevenius 70cd37dbbe 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 fb15d649ed ("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		2025-09-09 06:06:52 +02:00
..
batched-bench	batched-bench : fix llama_synchronize usage during prompt processing (#15835)	2025-09-08 10:27:07 +03:00
cvector-generator
export-lora
gguf-split
imatrix
llama-bench	llama: use FA + max. GPU layers by default (#15434)	2025-08-30 16:32:10 +02:00
main	cli : change log to warning to explain reason for stopping (#15604)	2025-08-28 10:48:20 +03:00
mtmd	requirements : update transformers/torch for Embedding Gemma (#15828)	2025-09-09 06:06:52 +02:00
perplexity
quantize
rpc
run
server	requirements : update transformers/torch for Embedding Gemma (#15828)	2025-09-09 06:06:52 +02:00
tokenize
tts	sampling : optimize samplers by reusing bucket sort (#15665)	2025-08-31 20:41:02 +03:00
CMakeLists.txt