cb7924e9db
* Update rms_layernorm.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Fix Gemma merging * Update rms_layernorm.py * Update gemma.py * Update pyproject.toml * Layernorms * Gemma precision * Update gemma.py * sqrt * Update gemma.py * Update save.py * RoPE and Gemma precision * Update rms_layernorm.py * Fix warning * Update chat_templates.py * Update chat_templates.py * Update save.py * Update save.py * Update save.py * Update chat_templates.py * Update llama.py * model_name * Update loader.py * Tokenizer overwritten * Update llama.py * Update llama.py * Update llama.py * Update save.py * Accuracy * Revert * Update save.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update chat_templates.py * Update save.py * Update save.py * Update llama.py * Update llama.py * Account for DoRA * Update llama.py * Update save.py * GGUF incorrect * Update save.py * Update pyproject.toml * kaggle new * Update pyproject.toml * Update pyproject.toml * upcasting * Fix Colab * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update rope_embedding.py * Update rope_embedding.py * Fix bugs * Update fast_lora.py * Update fast_lora.py * Update README.md * Update README.md * GGUF * Update save.py * Update save.py * Update save.py * Update save.py * Update README.md * Update README.md * Bugs * Update fast_lora.py * Update pyproject.toml * Update fast_lora.py * Update __init__.py * Update fast_lora.py * dtype * Update llama.py * Update llama.py * Update llama.py * dtype * Update mistral.py * trust_remote_code * lm_head * Update llama.py * save_pretrained_settings * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * state_dict * Update save.py * whoami * Update llama.py * Update save.py * Update llama.py * Patch tokenizer * Update chat_templates.py * Heal tokenizers * Update chat_templates.py * Update mapper.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update chat_templates.py * tokenizer patching * patch_tokenizer * Update chat_templates.py * Update tokenizer_utils.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update tokenizer_utils.py * Edit * Update mistral.py * Update mistral.py * Stats * Update mistral.py * attention_mask * Update llama.py * Update llama.py * batch * Temp fix batch inference * Update llama.py * Update gemma.py * Fix inference * swiglu * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update mistral.py * Update llama.py * fast inference * model * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update utils.py * Update llama.py * Update utils.py * inference * Update llama.py * Update llama.py * Update llama.py * overhead * Update llama.py * Update llama.py * compile * Update gemma.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update utils.py * Update utils.py * lora mamtul * Update llama.py * Update llama.py * Update llama.py * offloaded checkpointing * Update llama.py * Update llama.py * Update _utils.py * Update _utils.py * Update _utils.py * Update llama.py * Update llama.py * Update gemma.py * Revert "Update gemma.py" This reverts commit e3c3c5f3fa3d04a87f854056f6b547ced610d712. * Update _utils.py * Update _utils.py * Update _utils.py * Saving * sentencepiece_model_pb2 * Update llama.py * Update save.py * Update llama.py * padding side * Update tokenizer_utils.py * cache dir * Update tokenizer_utils.py * Update tokenizer_utils.py * Update pyproject.toml * Update pyproject.toml * Update tokenizer_utils.py * Update tokenizer_utils.py * Update llama.py
245 lines
7.4 KiB
TOML
245 lines
7.4 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.models._utils.__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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"tyro",
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"transformers>=4.38.2",
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"datasets>=2.16.0",
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"sentencepiece>=0.2.0",
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"tqdm",
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"psutil",
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"wheel>=0.42.0",
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"numpy",
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"accelerate>=0.26.1",
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"trl>=0.7.9",
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"peft>=0.7.1",
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"protobuf<4.0.0",
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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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cu118onlytorch212 = [
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.23.post1%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.post1%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.post1%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu121onlytorch212 = [
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.23.post1-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.post1-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.post1-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu118onlytorch220 = [
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.24%2Bcu118-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.24%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu118/xformers-0.0.24%2Bcu118-cp311-cp311-manylinux2014_x86_64.whl ; python_version=='3.11'",
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]
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cu121onlytorch220 = [
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.24-cp39-cp39-manylinux2014_x86_64.whl ; python_version=='3.9'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.24-cp310-cp310-manylinux2014_x86_64.whl ; python_version=='3.10'",
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"xformers @ https://download.pytorch.org/whl/cu121/xformers-0.0.24-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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cu118-torch212 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118onlytorch212]",
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]
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cu121-torch212 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch212]",
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]
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cu118-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118onlytorch220]",
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]
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cu121-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch220]",
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]
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kaggle = [
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"unsloth[huggingface]",
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]
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kaggle-new = [
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"unsloth[huggingface]",
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"bitsandbytes",
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]
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conda = [
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"unsloth[huggingface]",
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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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colab-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch220]",
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]
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colab-ampere-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch220]",
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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-new = [
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"tyro",
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"transformers>=4.38.2",
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"datasets>=2.16.0",
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"sentencepiece",
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"tqdm",
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"psutil",
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"wheel>=0.42.0",
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"numpy",
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"protobuf<4.0.0",
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]
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colab-no-deps = [
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"accelerate>=0.26.1",
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"trl>=0.7.9",
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"peft>=0.7.1",
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"xformers",
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"bitsandbytes",
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"protobuf<4.0.0",
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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[colab-ampere-torch220]",
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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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cu118-ampere-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu118onlytorch220]",
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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-torch220 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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"unsloth[cu121onlytorch220]",
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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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