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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
This commit is contained in:
@@ -2,7 +2,9 @@ mistral-common>=1.8.3
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-r ./requirements-convert_legacy_llama.txt
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch~=2.4.0; platform_machine != "s390x"
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## Embedding Gemma requires PyTorch 2.6.0 or later
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torch~=2.6.0; platform_machine != "s390x"
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# torch s390x packages can only be found from nightly builds
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--extra-index-url https://download.pytorch.org/whl/nightly
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@@ -1,5 +1,14 @@
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numpy~=1.26.4
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sentencepiece~=0.2.0
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transformers>=4.45.1,<5.0.0
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# Embedding Gemma is currently a preview release:
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# https://github.com/huggingface/transformers/releases/tag/v4.56.0-Embedding-Gemma-preview
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# The version is needed to be able to convert Embedding Gemma models to GGUF format:
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git+https://github.com/huggingface/transformers@v4.56.0-Embedding-Gemma-preview
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# Once Embedding Gemma is officially released, we can switch to:
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#transformers>=4.57.1,<5.0.0
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gguf>=0.1.0
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protobuf>=4.21.0,<5.0.0
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@@ -1,6 +1,6 @@
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aiohttp~=3.9.3
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pytest~=8.3.3
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huggingface_hub~=0.23.2
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huggingface_hub>=0.34.0,<1.0
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matplotlib~=3.10.0
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numpy~=1.26.4
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openai~=1.55.3
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@@ -421,10 +421,10 @@ def compare_tokenizers(tokenizer1: TokenizerGroundtruth, tokenizer2: TokenizerLl
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if text1 == text2: # equal to TokenizerGroundtruth?
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return True
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# equal to source text?
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if tokenizer1.add_bos_token: # remove BOS
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if tokenizer1.add_bos_token and tokenizer1.bos_token and isinstance(tokenizer1.bos_token, str): # remove BOS
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if text2.startswith(tokenizer1.bos_token):
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text2 = text2[len(tokenizer1.bos_token):]
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if tokenizer1.add_eos_token: # remove EOS
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if tokenizer1.add_eos_token and tokenizer1.eos_token and isinstance(tokenizer1.eos_token, str): # remove EOS
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if text2.endswith(tokenizer1.eos_token):
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text2 = text2[:-len(tokenizer1.eos_token)]
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return text == text2
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@@ -23,7 +23,6 @@ import warnings
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import numpy as np
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import torch
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import torch.nn.functional as F
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import torch.utils.checkpoint
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from torch import nn
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from torch.nn.init import _calculate_fan_in_and_fan_out
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@@ -413,7 +412,8 @@ import re
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import numpy as np
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from gguf import *
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from transformers.models.idefics2.modeling_idefics2 import Idefics2VisionTransformer, Idefics2VisionConfig
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from transformers.models.idefics2.modeling_idefics2 import Idefics2VisionTransformer
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from transformers.models.idefics2.configuration_idefics2 import Idefics2VisionConfig
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TEXT = "clip.text"
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VISION = "clip.vision"
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@@ -1,5 +1,5 @@
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-r ../../requirements/requirements-convert_legacy_llama.txt
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--extra-index-url https://download.pytorch.org/whl/cpu
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pillow~=11.3.0
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torch~=2.4.0
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torchvision~=0.19.1
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torch~=2.6.0
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torchvision~=0.21.0
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@@ -1,6 +1,6 @@
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aiohttp~=3.9.3
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pytest~=8.3.3
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huggingface_hub~=0.23.2
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huggingface_hub>=0.34.0,<1.0
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numpy~=1.26.4
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openai~=1.55.3
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prometheus-client~=0.20.0
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