enginex-ascend-910-llama.cpp/requirements/requirements-convert_hf_to_gguf.txt

mistral-common>=1.8.3

-r ./requirements-convert_legacy_llama.txt
--extra-index-url https://download.pytorch.org/whl/cpu

## Embedding Gemma requires PyTorch 2.6.0 or later
torch~=2.6.0; platform_machine != "s390x"

# torch s390x packages can only be found from nightly builds
--extra-index-url https://download.pytorch.org/whl/nightly
torch>=0.0.0.dev0; platform_machine == "s390x"
mtmd : add support for Voxtral (#14862) * mtmd : add support for Voxtral * clean up * fix python requirements * add [BEGIN_AUDIO] token * also support Devstral conversion * add docs and tests * fix regression for ultravox * minor coding style improvement * correct project activation fn * Apply suggestions from code review Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> 2025-07-28 15:01:48 +02:00			`mistral-common>=1.8.3`

py : switch to snake_case (#8305) * py : switch to snake_case ggml-ci * cont ggml-ci * cont ggml-ci * cont : fix link * gguf-py : use snake_case in scripts entrypoint export * py : rename requirements for convert_legacy_llama.py Needed for scripts/check-requirements.sh --------- Co-authored-by: Francis Couture-Harpin <git@compilade.net> 2024-07-05 07:53:33 +03:00			`-r ./requirements-convert_legacy_llama.txt`
py : use cpu-only torch in requirements.txt (#8335) 2024-07-07 07:23:38 -04:00			`--extra-index-url https://download.pytorch.org/whl/cpu`
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 2025-09-09 06:06:52 +02:00
			`## Embedding Gemma requires PyTorch 2.6.0 or later`
			`torch~=2.6.0; platform_machine != "s390x"`
common: Include torch package for s390x (#13699) * common: update requirements.txt to include pytorch nightly for s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * common: fix torch installation via pip for s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> 2025-05-23 02:31:29 +08:00
			`# torch s390x packages can only be found from nightly builds`
			`--extra-index-url https://download.pytorch.org/whl/nightly`
			`torch>=0.0.0.dev0; platform_machine == "s390x"`