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https://github.com/tiennm99/DocsGPT.git
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chore(deps): torch 2.14, transformers 5.17, tokenizers 0.23 (docling extra)
Lifts the deliberate `transformers<5.9` cap. The cap existed because 5.9 broke docling's PDF layout model on Apple Silicon; 5.17 does not. Checked by converting a four-document benchmark (two papers, a 30-page table corpus, a 10-page report) on this machine with both stacks: the Markdown is byte-identical on three, and the fourth differs only by one dropped `<!-- image -->` placeholder on a figure. Tables still render as GFM tables and no text is lost. With that cap gone tokenizers can move too — transformers 5.8.1 pinned it at <=0.23.0 and no such release exists, which is what held it at 0.22.2. torchvision follows torch. Linux still resolves torch and torchvision from the CPU-only PyTorch index, so the docling Docker variant does not pick up the CUDA stack.
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@@ -959,14 +959,14 @@ tiktoken==0.14.0
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# via docsgpt
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tldextract==5.3.2
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# via docsgpt
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tokenizers==0.22.2
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tokenizers==0.23.2
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# via
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# docsgpt
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# fastembed
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# transformers
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toml==0.10.2
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# via daytona
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torch==2.11.0 ; sys_platform != 'linux'
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torch==2.14.0 ; sys_platform != 'linux'
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# via
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# accelerate
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# docling-ibm-models
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@@ -974,7 +974,7 @@ torch==2.11.0 ; sys_platform != 'linux'
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# docsgpt
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# safetensors
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# torchvision
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torch==2.11.0+cpu ; sys_platform == 'linux'
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torch==2.14.0+cpu ; sys_platform == 'linux'
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# via
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# accelerate
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# docling-ibm-models
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@@ -982,12 +982,12 @@ torch==2.11.0+cpu ; sys_platform == 'linux'
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# docsgpt
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# safetensors
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# torchvision
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torchvision==0.26.0 ; sys_platform != 'linux'
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torchvision==0.29.0 ; sys_platform != 'linux'
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# via
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# docling-ibm-models
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# docling-slim
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# docsgpt
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torchvision==0.26.0+cpu ; sys_platform == 'linux'
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torchvision==0.29.0+cpu ; sys_platform == 'linux'
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# via
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# docling-ibm-models
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# docling-slim
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@@ -1002,7 +1002,7 @@ tqdm==4.70.1
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# rapidocr
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# semchunk
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# transformers
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transformers==5.8.1
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transformers==5.17.0
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# via
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# docling-core
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# docling-ibm-models
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@@ -818,7 +818,7 @@ tiktoken==0.14.0
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# via docsgpt
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tldextract==5.3.2
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# via docsgpt
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tokenizers==0.22.2
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tokenizers==0.23.2
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# via
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# docsgpt
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# fastembed
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@@ -798,7 +798,7 @@ tiktoken==0.14.0
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# via docsgpt
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tldextract==5.3.2
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# via docsgpt
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tokenizers==0.22.2
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tokenizers==0.23.2
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# via
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# docsgpt
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# fastembed
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+9
-6
@@ -111,7 +111,7 @@ dependencies = [
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"starlette>=1.0,<2",
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"tiktoken>=0.14.0,<0.15",
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"tldextract>=5.3.2,<6",
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"tokenizers>=0.22.2,<0.23",
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"tokenizers>=0.23.2,<0.24",
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"tqdm>=4.67.3,<5",
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"uvicorn[standard]>=0.30,<1",
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"uvicorn-worker>=0.4,<1",
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@@ -132,11 +132,14 @@ docling = [
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"docling>=2.119.0,<3",
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"rapidocr>=3.9.2,<4",
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# docling's model stack. Declared here (not left transitive) so the floors
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# hold and the CPU index source below applies. transformers is capped by
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# docling-core at <5.9: 5.9+ breaks the PDF layout model on Apple Silicon.
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"torch>=2.11.0,<3",
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"torchvision>=0.26.0,<0.27",
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"transformers>=5.8.1,<5.9",
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# hold and the CPU index source below applies. transformers was held at
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# <5.9 because 5.9 broke the PDF layout model on Apple Silicon; 5.17 does
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# not — on a four-document benchmark (papers, a 30-page table corpus) the
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# converted Markdown is byte-identical on three and differs on the fourth
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# only by one dropped `<!-- image -->` placeholder.
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"torch>=2.14.0,<3",
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"torchvision>=0.29.0,<0.30",
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"transformers>=5.17.0,<6",
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]
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# VECTOR_STORE=milvus. milvus-lite (the embedded server) pulls pyarrow.
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milvus = [
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@@ -36,8 +36,8 @@ dependencies = [
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{ name = "psutil" },
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{ name = "pyyaml" },
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{ name = "safetensors" },
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{ name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
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{ name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
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{ name = "torch", version = "2.14.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
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{ name = "torch", version = "2.14.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/f5/b5/1d3ed029ac71d3f2961346829a268da923698e9fd63f218f78841f216bfd/accelerate-1.15.0.tar.gz", hash = "sha256:5654f8c5eaa0d4fa68b33e287a97765da6849bf6d51dcac874e73fbbddfb6134", size = 422615, upload-time = "2026-09-09T13:04:49.078Z" }
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wheels = [
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@@ -1239,10 +1239,10 @@ dependencies = [
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{ name = "numpy" },
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{ name = "pillow" },
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{ name = "safetensors", extra = ["torch"] },
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{ name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
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{ name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.26.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
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{ name = "torchvision", version = "0.26.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
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{ name = "torch", version = "2.14.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.14.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.29.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torchvision", version = "0.29.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
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{ name = "transformers" },
|
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]
|
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sdist = { url = "https://files.pythonhosted.org/packages/8e/e1/ae8c897ccf2f7137ae4ea07af2631b816b38b7382a792095077dc20907ab/docling_ibm_models-4.0.2.tar.gz", hash = "sha256:cfc2e265d9ee5dc7bc4fe001916851adedba1d8020584d170b35da2d79321f8d", size = 77561, upload-time = "2026-09-03T11:25:24.157Z" }
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@@ -1324,10 +1324,10 @@ standard = [
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||||
{ name = "rich" },
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{ name = "rtree" },
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{ name = "scipy" },
|
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{ name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.26.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torchvision", version = "0.26.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torch", version = "2.14.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.14.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.29.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
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{ name = "torchvision", version = "0.29.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "typer" },
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||||
{ name = "websockets" },
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||||
]
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@@ -1420,10 +1420,10 @@ dependencies = [
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docling = [
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{ name = "docling" },
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{ name = "rapidocr" },
|
||||
{ name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.26.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torchvision", version = "0.26.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torch", version = "2.14.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.14.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torchvision", version = "0.29.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torchvision", version = "0.29.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "transformers" },
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||||
]
|
||||
milvus = [
|
||||
@@ -1523,13 +1523,13 @@ requires-dist = [
|
||||
{ name = "starlette", specifier = ">=1.0,<2" },
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{ name = "tiktoken", specifier = ">=0.14.0,<0.15" },
|
||||
{ name = "tldextract", specifier = ">=5.3.2,<6" },
|
||||
{ name = "tokenizers", specifier = ">=0.22.2,<0.23" },
|
||||
{ name = "torch", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=2.11.0,<3", index = "https://download.pytorch.org/whl/cpu" },
|
||||
{ name = "torch", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=2.11.0,<3" },
|
||||
{ name = "torchvision", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=0.26.0,<0.27", index = "https://download.pytorch.org/whl/cpu" },
|
||||
{ name = "torchvision", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=0.26.0,<0.27" },
|
||||
{ name = "tokenizers", specifier = ">=0.23.2,<0.24" },
|
||||
{ name = "torch", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=2.14.0,<3", index = "https://download.pytorch.org/whl/cpu" },
|
||||
{ name = "torch", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=2.14.0,<3" },
|
||||
{ name = "torchvision", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=0.29.0,<0.30", index = "https://download.pytorch.org/whl/cpu" },
|
||||
{ name = "torchvision", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=0.29.0,<0.30" },
|
||||
{ name = "tqdm", specifier = ">=4.67.3,<5" },
|
||||
{ name = "transformers", marker = "extra == 'docling'", specifier = ">=5.8.1,<5.9" },
|
||||
{ name = "transformers", marker = "extra == 'docling'", specifier = ">=5.17.0,<6" },
|
||||
{ name = "uvicorn", extras = ["standard"], specifier = ">=0.30,<1" },
|
||||
{ name = "uvicorn-worker", specifier = ">=0.4,<1" },
|
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{ name = "websocket-client", specifier = ">=1.9.0,<2" },
|
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@@ -5779,8 +5779,8 @@ wheels = [
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||||
[package.optional-dependencies]
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||||
torch = [
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||||
{ name = "numpy" },
|
||||
{ name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
{ name = "torch", version = "2.14.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" },
|
||||
{ name = "torch", version = "2.14.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
|
||||
]
|
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|
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[[package]]
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@@ -6150,28 +6150,29 @@ wheels = [
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||||
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[[package]]
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||||
name = "tokenizers"
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||||
version = "0.22.2"
|
||||
version = "0.23.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
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dependencies = [
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{ name = "huggingface-hub" },
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{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:4d5138e00e117cfd5b7fe70af57d65d00abff2ce9f8581dc97805ecc62a510f5", upload-time = "2026-09-02T00:27:44Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6ff3b816ec955f3ef9f32d1e698e1856549e2e03637c358ee067c6f5f17f74fa", upload-time = "2026-09-02T00:27:44Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:9173ee20608718663483b8e29f3e07aaa4ebfa6cc8cb7939405acc5536a9b252", upload-time = "2026-09-02T00:27:45Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:dd735995faf5d19ebf7dc729138bc39764044f62c31edc687036757e744005b7", upload-time = "2026-09-02T00:27:45Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:d25afdfb2893d7309c35334a923898fb13c11c2c4165d497d107a2694398a0ce", upload-time = "2026-09-02T00:27:46Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:0941ad2ce731feb062300a7faf9bbde484896f9500f19523319d110ecaed2bc8", upload-time = "2026-09-02T00:27:46Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp315-cp315-manylinux_2_28_aarch64.whl", hash = "sha256:8082ba501f55bc2dac6f6c496c6df6407a0afa5955db4fb83e156a20bb2feeec", upload-time = "2026-09-02T00:27:47Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp315-cp315-manylinux_2_28_x86_64.whl", hash = "sha256:2060938f90e78d37a6a9ec6b5254a24607e072e2fc4f0d2e90f6f092578b6907", upload-time = "2026-09-02T00:27:47Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp315-cp315t-manylinux_2_28_aarch64.whl", hash = "sha256:3e9559f69900da98ab1387fa763eeb0d210c78b35da969c61b96816c77a27b79", upload-time = "2026-09-02T00:27:48Z" },
|
||||
{ url = "https://download-r2.pytorch.org/whl/cpu/torchvision-0.29.0%2Bcpu-cp315-cp315t-manylinux_2_28_x86_64.whl", hash = "sha256:1a0cb923542cb98eeb084a5b1b8d496d5f3f025f17b829fb2bd2524185598d9e", upload-time = "2026-09-02T00:27:48Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -6356,7 +6356,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "5.8.1"
|
||||
version = "5.17.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "huggingface-hub" },
|
||||
@@ -6369,9 +6369,9 @@ dependencies = [
|
||||
{ name = "tqdm" },
|
||||
{ name = "typer" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/e6/4134ea2fbea322cddc7ffc94a0d8ee47fe32ce8e876b320cd37d88edfc4d/transformers-5.8.1.tar.gz", hash = "sha256:4dd5b6de4105725104d84fd6abd74b305f4debfc251b38c648ee5dd087cf543b", size = 8532019, upload-time = "2026-05-13T03:21:57.234Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0e/9e/750649904a065007a838981785b2bd8d9ff26154c6c341ac67d0b7f82c68/transformers-5.17.0.tar.gz", hash = "sha256:a153be279169b55b92d8000bf4af294aed684503d091cca7804da2dd8a9de000", size = 9817878, upload-time = "2026-09-09T15:39:56.886Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/fc/b1/8be7e7ef0b5200491312201918b6125ef9c9df9dd0f0240ccef9ac824e6b/transformers-5.8.1-py3-none-any.whl", hash = "sha256:5340fb95962162cdfdae5cc91d7f8fedd92ed75216c1154c5e1f590fcf56dd0e", size = 10632882, upload-time = "2026-05-13T03:21:52.876Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e8/d0/c502b60d684adbd98a8dc7d5bb866842772b816ac4354e4608be240041ae/transformers-5.17.0-py3-none-any.whl", hash = "sha256:78ec1ce21579b38dfb83950a0658cd119f87212a2fcfdff478096ce9d6c03801", size = 12295140, upload-time = "2026-09-09T15:39:53.746Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in new issue
Block a user