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Adds dependencies and extras for torch 2.3.0 with new xformers versions #415

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May 10, 2024
Merged

Adds dependencies and extras for torch 2.3.0 with new xformers versions #415

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b4d8ae9
Adds dependencies and extras for torch 2.3.0 with new xformers versions
nathan-az May 3, 2024
2491d66
Add 2.3.0 section to readme
nathan-az May 4, 2024
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9 changes: 8 additions & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -159,7 +159,14 @@ pip install --no-deps packaging ninja einops flash-attn xformers trl peft accele
pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
pip install --no-deps xformers trl peft accelerate bitsandbytes
```
7. To troubleshoot installs try the below (all must succeed). Xformers should mostly all be available.
7. For Pytorch 2.3.0: Use the `"ampere"` path for newer RTX 30xx GPUs or higher.
```bash
pip install "unsloth[cu118-torch230] @ git+https://github.com/unslothai/unsloth.git"
pip install "unsloth[cu121-torch230] @ git+https://github.com/unslothai/unsloth.git"
pip install "unsloth[cu118-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git"
pip install "unsloth[cu121-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git"
```
8. To troubleshoot installs try the below (all must succeed). Xformers should mostly all be available.
```bash
nvcc
python -m xformers.info
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37 changes: 37 additions & 0 deletions pyproject.toml
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Expand Up @@ -86,6 +86,17 @@ cu121onlytorch220 = [
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.24-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.24-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu118onlytorch230 = [
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.26.post1%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.26.post1%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.26.post1%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu121onlytorch230 = [
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.26.post1-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.26.post1-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.26.post1-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]

cu118 = [
"unsloth[huggingface]",
"bitsandbytes",
Expand Down Expand Up @@ -126,6 +137,16 @@ cu121-torch220 = [
"bitsandbytes",
"unsloth[cu121onlytorch220]",
]
cu118-torch230 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118onlytorch230]",
]
cu121-torch230 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch230]",
]
kaggle = [
"unsloth[huggingface]",
]
Expand Down Expand Up @@ -238,6 +259,22 @@ cu121-ampere-torch220 = [
"ninja",
"flash-attn",
]
cu118-ampere-torch230 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118onlytorch230]",
"packaging",
"ninja",
"flash-attn",
]
cu121-ampere-torch230 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch230]",
"packaging",
"ninja",
"flash-attn",
]

[project.urls]
homepage = "http://www.unsloth.ai"
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