unsloth/unsloth/_auto_install.py
Daniel Han 4a3b424e8d GRPO, vLLM, Bug Fixes, Reinforcement Learning (#1620)
* use exact model name

* Update save.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* print

* Update _utils.py

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update vision.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update loader.py

* accurate_accumulation

* Update loader.py

* Update loader.py

* Update _utils.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update pyproject.toml

* Update __init__.py

* Update pyproject.toml

* Update __init__.py

* Update __init__.py

* Fix Triton heuristics

https://github.com/triton-lang/triton/issues/5224

* Update __init__.py

* Update __init__.py

* Update __init__.py

* Update __init__.py

* Xformers

* Update loader.py

* Update loader.py

* Rewind

* Update _utils.py

* Update _utils.py

* requires grad

* Update loader.py

* Update _utils.py

* Update loader.py

* changing model to base_model if peft model is already used

* Improve debugging experience (#1512)

* Create CONTRIBUTING.md (#1472)

Creating contributing guidelines

* Update CONTRIBUTING.md

improved sentence

* Improve logging control in `unsloth_compile_transformers` by conditionally redirecting stdout based on UNSLOTH_DISABLE_LOGGER environment variable

---------

Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nino Risteski <95188570+NinoRisteski@users.noreply.github.com>

* Update loader.py

* Update llama.py

* Update llama.py

* Revert "Update llama.py"

This reverts commit 67bb995878.

* 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

* Auto change is_bfloat16_supported

* Update llama.py

* Force data-type

* Update llama.py

* All attention refactor fix (#1491)

* change initilization of n_heads, n_kv_heads, hidden_size in llama.py

* do the same for cohere, mistral, gemma2, granite

* do the same for flexattention,cohere, mistral, granite

* Update llama.py

* Update llama.py

* Update granite to work with latest post_patch methods (#1502)

* Update granite to work with latest post_patch methods

* Pass position_embeddings for granite even if transformers<4.47

* Update llama.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Minor fixes for granite models (#1503)

* Update granite.py

Grab residual multiplier directly from layer

* Update llama.py

Version should read >= 4.47.1 as that is the version requiring the changes

* Update granite.py

* Update llama.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* support modelscope models and datasets (#1481)

* support modelscope

* change modelscope args

* remove useless import

* remove useless import

* fix

* wip

* fix

* remove useless code

* add readme

* add some comments

* change print to raise error

* update comment

* Update loader.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Merge branch 'main' into nightly

* Phi 4

* Update llama.py

* Torch.Cuda Is Available Condition and Warning (#1545)

* check for torch.cuda and triton if available
on my machine(mac m3) the cuda were not available

* Update pyproject.toml

* Update __init__.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update mistral.py

* Update mistral.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Fix

* Bug fixes

* Update mapper.py

* Add dropout to granite to match HF's implementation (#1557)

Signed-off-by: datta0 <venkatadattasainimmaturi@gmail.com>

* Update llama.py

* Update llama.py

* Bug fixes

* fix: flash_attn_detection_error (#1556)

* fix: flash_attn_detection_error

* Update _utils.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update mapper.py

* Update gemma.py

* Update gemma.py

* Update gemma.py

* Update gemma.py

* dim fix

* Update _utils.py

* Torch 2.6 support

* 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

* Faster inference?

* Update llama.py

* Update llama.py

* Update utils.py

* Update llama.py

* Update llama.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update mapper.py

* Fast Inference via vLLM

* Update llama.py

* Update llama.py

* Update utils.py

* Create rl.py

* PatchRL

* Update rl.py

* Update rl.py

* Update rl.py

* PatchRLStatistics

* Update rl.py

* Update rl.py

* Update rl.py

* Update utils.py

* Update utils.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* RL metrics

* Update rl.py

* RL metrics

* Update __init__.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update chat_templates.py

* Update mapper.py

* Fp8 cache

* Update llama.py

* Update llama.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update __init__.py

* Update loader.py

---------

Signed-off-by: datta0 <venkatadattasainimmaturi@gmail.com>
Co-authored-by: Itsuro Tajima <tajima@georepublic.de>
Co-authored-by: Muhammad Osama <muhammadosama1994@gmail.com>
Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nino Risteski <95188570+NinoRisteski@users.noreply.github.com>
Co-authored-by: Kareem <81531392+KareemMusleh@users.noreply.github.com>
Co-authored-by: Datta Nimmaturi <datta.nimmaturi@nutanix.com>
Co-authored-by: Z <coffeevampirebusiness@gmail.com>
Co-authored-by: tastelikefeet <58414341+tastelikefeet@users.noreply.github.com>
Co-authored-by: AminWhat <88392440+aminwhat@users.noreply.github.com>
Co-authored-by: Zhe Zhang <2631992879@qq.com>
2025-02-06 02:41:12 -08:00

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Python

# Copyright 2023-present Daniel Han-Chen & the Unsloth team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
try: import torch
except: raise ImportError('Install torch via `pip install torch`')
from packaging.version import Version as V
v = V(torch.__version__)
cuda = str(torch.version.cuda)
is_ampere = torch.cuda.get_device_capability()[0] >= 8
if cuda != "12.1" and cuda != "11.8" and cuda != "12.4" and cuda != "12.6": raise RuntimeError(f"CUDA = {cuda} not supported!")
if v <= V('2.1.0'): raise RuntimeError(f"Torch = {v} too old!")
elif v <= V('2.1.1'): x = 'cu{}{}-torch211'
elif v <= V('2.1.2'): x = 'cu{}{}-torch212'
elif v < V('2.3.0'): x = 'cu{}{}-torch220'
elif v < V('2.4.0'): x = 'cu{}{}-torch230'
elif v < V('2.5.0'): x = 'cu{}{}-torch240'
elif v < V('2.5.1'): x = 'cu{}{}-torch250'
elif v <= V('2.5.1'): x = 'cu{}{}-torch251'
elif v < V('2.7.0'): x = 'cu{}{}-torch260'
else: raise RuntimeError(f"Torch = {v} too new!")
x = x.format(cuda.replace(".", ""), "-ampere" if is_ampere else "")
print(f'pip install --upgrade pip && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git"')