3d67790901* 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
149 lines
4.2 KiB
TOML
149 lines
4.2 KiB
TOML
[build-system]
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requires = ["setuptools", "setuptools-scm"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "unsloth"
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dynamic = ["version"]
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description = "2-5X faster LLM finetuning"
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readme = "README.md"
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requires-python = ">=3.9"
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license = {file = "LICENSE"}
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keywords = ["ai", "llm",]
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authors = [
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{email = "info@unsloth.ai"},
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{name = "Unsloth AI team"},
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]
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maintainers = [
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{name = "Daniel Han", email = "danielhanchen@gmail.com"},
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{name = "Michael Han", email = "info@unsloth.ai"},
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]
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classifiers = [
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"Programming Language :: Python",
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]
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[tool.setuptools.dynamic]
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version = {attr = "unsloth.__version__"}
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[tool.setuptools]
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include-package-data = false
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[tool.setuptools.packages.find]
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exclude = ["images*"]
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[project.optional-dependencies]
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huggingface = [
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"transformers>=4.37.0",
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"datasets",
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"sentencepiece",
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"accelerate",
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"trl>=0.7.9",
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"peft",
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"tqdm",
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"psutil",
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]
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cu118only = [
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.22.post7%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu121only = [
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.22.post7-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu118onlytorch211 = [
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu121onlytorch211 = [
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu118 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118only]",
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]
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cu121 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121only]",
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]
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cu118_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118onlytorch211]",
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]
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cu121_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch211]",
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]
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kaggle = [
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"unsloth[huggingface]",
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]
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conda = [
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"unsloth[huggingface]",
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]
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colab = [
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"unsloth[cu121]",
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]
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colab_ampere = [
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"unsloth[cu121]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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colab_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch211]",
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]
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colab_ampere_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch211]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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cu118_ampere = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118only]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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cu121_ampere = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121only]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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cu118_ampere_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118onlytorch211]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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cu121_ampere_torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch211]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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[project.urls]
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homepage = "http://www.unsloth.ai"
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documentation = "https://github.com/unslothai/unsloth"
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repository = "https://github.com/unslothai/unsloth"
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