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Merged
pull merged 1 commit into from
May 23, 2026
+12 −5
Merged

[pull] master from ggml-org:master #1214

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2 changes: 1 addition & 1 deletion examples/model-conversion/scripts/embedding/run-original-model.py
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Expand Up @@ -64,7 +64,7 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device
print("Using SentenceTransformer to apply all numbered layers")
model = SentenceTransformer(model_path)
tokenizer = model.tokenizer
config = model[0].auto_model.config
config = model[0].auto_model.config # ty: ignore[unresolved-attribute]
else:
tokenizer = AutoTokenizer.from_pretrained(model_path)
config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)
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4 changes: 2 additions & 2 deletions requirements/requirements-convert_hf_to_gguf.txt
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@@ -1,8 +1,8 @@
-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"
## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
torch==2.11.0; platform_machine != "s390x"

# torch s390x packages can only be found from nightly builds
--extra-index-url https://download.pytorch.org/whl/nightly
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11 changes: 9 additions & 2 deletions tools/mtmd/requirements.txt
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@@ -1,5 +1,12 @@
-r ../../requirements/requirements-convert_legacy_llama.txt
--extra-index-url https://download.pytorch.org/whl/cpu
pillow~=11.3.0
torch~=2.6.0
torchvision~=0.21.0

## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
torch==2.11.0; platform_machine != "s390x" # check_requirements: ignore "=="
torchvision==0.26.0; platform_machine != "s390x" # check_requirements: ignore "=="

# 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" # check_requirements: ignore "=="
torchvision>=0.0.0.dev0; platform_machine == "s390x" # check_requirements: ignore "=="
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