unsloth/pyproject.toml
Daniel Han cd32ba76b7
Fix bugs + more accurate Swiglu (#137)
* faster saving & inference

* Update llama.py

* Update save.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update mistral.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* fast inference

* Update llama.py

* Update save.py

* Update llama.py

* Mistral correct RoPE scaling

* Max sequence lengths

* Apache 2

* fast_linear_forward

* Update utils.py

* Update utils.py

* No print

* Update utils.py

* Update utils.py

* inference

* Update llama.py

* Fast inference RoPE

* Update llama.py

* Update llama.py

* RoPE

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* LoRA

* Fast LoRA saving

* Update llama.py

* hidden_states

* q_len == 1

* q_len issue

* Update mistral.py

* Update mistral.py

* incorrect inference

* Update to transformers 4.37

* Graceful FA2 error + torch 2.1.1

* Update mapper.py

* Update pyproject.toml

* Fix saving and bnb-4bit

* Update fast_lora.py

* Update fast_lora.py

* remove patching

* Update llama.py

* Update llama.py

* Update swiglu.py

* Repatch

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update llama.py

* Update fast_lora.py

* Update llama.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update swiglu.py

* Update fast_lora.py

* Update swiglu.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update save.py

* Update fast_lora.py

* Update utils.py

* Update llama.py

* Update fast_lora.py

* Update swiglu.py

* Update save.py

* Update save.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Revert "Update llama.py"

This reverts commit a208ec46e0.

* Update llama.py

* Works?

* Update pyproject.toml

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Swiglu

* Update swiglu.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update swiglu.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* Update fast_lora.py

* attention_mask

* Update llama.py

* Update llama.py

* labels

* Update mistral.py

* Update llama.py

* attention mask
2024-01-28 04:20:06 +11:00

149 lines
4.2 KiB
TOML

[build-system]
requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"
[project]
name = "unsloth"
dynamic = ["version"]
description = "2-5X faster LLM finetuning"
readme = "README.md"
requires-python = ">=3.9"
license = {file = "LICENSE"}
keywords = ["ai", "llm",]
authors = [
{email = "info@unsloth.ai"},
{name = "Unsloth AI team"},
]
maintainers = [
{name = "Daniel Han", email = "danielhanchen@gmail.com"},
{name = "Michael Han", email = "info@unsloth.ai"},
]
classifiers = [
"Programming Language :: Python",
]
[tool.setuptools.dynamic]
version = {attr = "unsloth.__version__"}
[tool.setuptools]
include-package-data = false
[tool.setuptools.packages.find]
exclude = ["images*"]
[project.optional-dependencies]
huggingface = [
"transformers>=4.37.0",
"datasets",
"sentencepiece",
"accelerate>=0.26.1",
"trl>=0.7.9",
"peft>=0.7.1",
"tqdm",
"psutil",
]
cu118only = [
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu121only = [
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu118onlytorch211 = [
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu121onlytorch211 = [
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
]
cu118 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118only]",
]
cu121 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121only]",
]
cu118_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118onlytorch211]",
]
cu121_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch211]",
]
kaggle = [
"unsloth[huggingface]",
]
conda = [
"unsloth[huggingface]",
]
colab = [
"unsloth[cu121]",
]
colab_ampere = [
"unsloth[cu121]",
"packaging",
"ninja",
"flash-attn",
]
colab_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch211]",
]
colab_ampere_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch211]",
"packaging",
"ninja",
"flash-attn",
]
cu118_ampere = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118only]",
"packaging",
"ninja",
"flash-attn",
]
cu121_ampere = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121only]",
"packaging",
"ninja",
"flash-attn",
]
cu118_ampere_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu118onlytorch211]",
"packaging",
"ninja",
"flash-attn",
]
cu121_ampere_torch211 = [
"unsloth[huggingface]",
"bitsandbytes",
"unsloth[cu121onlytorch211]",
"packaging",
"ninja",
"flash-attn",
]
[project.urls]
homepage = "http://www.unsloth.ai"
documentation = "https://github.com/unslothai/unsloth"
repository = "https://github.com/unslothai/unsloth"