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Unverified Commit ac736fd8 authored by Nicolas Patry's avatar Nicolas Patry Committed by GitHub
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feat(server): Add native support for PEFT Lora models (#762) 

- Will detect `peft` model by finding `adapter_config.json`.
- This triggers a totally dedicated `download-weights` path
- This path, loads the adapter config, finds the base model_id
- It loads the base_model
- Then peft_model
- Then `merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.
- The chosen location is a **local folder with the name of the user
  chosen model id**

PROs:

- Easier than to expect user to merge manually
- Barely any change outside of `download-weights` command.
- This means everything will work in a single load.
- Should enable out of the box SM + HFE

CONs:

- Creates a local merged model in unusual location, potentially
  not saved across docker reloads, or ovewriting some files if the PEFT
  itself was local and containing other files in addition to the lora

Alternatives considered:
- Add `local_files_only=True` every where (discard because of massive
  code change for not a good enough reason)
- Return something to `launcher` about the new model-id (a cleaner
  location for this new model), but it would
  introduce new communication somewhere where we didn't need it before.
- Using the HF cache folder and *stopping* the flow after
  `download-weights` and asking user to restart with the actual local
  model location


Fix #482 


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parent 8b0d608f
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launcher/src/main.rs
View file @ ac736fd8
......@@ -716,6 +716,11 @@ fn download_convert_model(args: &Args, running: Arc<AtomicBool>) -> Result<(), L
download_args.push(revision.to_string())
}
// Trust remote code for automatic peft fusion
if args.trust_remote_code {
download_args.push("--trust-remote-code".to_string());
}
// Copy current process env
let mut envs: Vec<(OsString, OsString)> = env::vars_os().collect();
......
server/poetry.lock
View file @ ac736fd8
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name = "Deprecated"
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......@@ -1353,19 +503,87 @@ frozenlist = [
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requests = {version = "*", optional = true, markers = "extra == \"http\""}
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abfs = ["adlfs"]
adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
devel = ["pytest", "pytest-cov"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
libarchive = ["libarchive-c"]
oci = ["ocifs"]
s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
tqdm = ["tqdm"]
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version = "1.59.1"
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......@@ -1412,15 +630,48 @@ grpcio = [
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......@@ -1467,7 +718,19 @@ grpcio-tools = [
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......@@ -1775,7 +1374,14 @@ protobuf = [
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]
psutil = [
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name = "psutil"
version = "5.9.5"
description = "Cross-platform lib for process and system monitoring in Python."
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
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......@@ -1791,7 +1397,17 @@ psutil = [
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]
pyarrow = [
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test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
[[package]]
name = "pyarrow"
version = "12.0.1"
description = "Python library for Apache Arrow"
optional = true
python-versions = ">=3.7"
files = [
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......@@ -1818,19 +1434,64 @@ pyarrow = [
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pytest = [
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numpy = ">=1.16.6"
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name = "pytest"
version = "7.4.0"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
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python-dateutil = [
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colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
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testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
optional = true
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
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pytz = [
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six = ">=1.5"
[[package]]
name = "pytz"
version = "2023.3"
description = "World timezone definitions, modern and historical"
optional = true
python-versions = "*"
files = [
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]
PyYAML = [
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name = "PyYAML"
version = "6.0"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.6"
files = [
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......@@ -1872,7 +1533,14 @@ PyYAML = [
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]
regex = [
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name = "regex"
version = "2023.6.3"
description = "Alternative regular expression module, to replace re."
optional = false
python-versions = ">=3.6"
files = [
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......@@ -1962,11 +1630,35 @@ regex = [
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requests = [
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name = "requests"
version = "2.31.0"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.7"
files = [
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safetensors = [
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certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
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socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "safetensors"
version = "0.3.1"
description = "Fast and Safe Tensor serialization"
optional = false
python-versions = "*"
files = [
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......@@ -2008,7 +1700,25 @@ safetensors = [
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sentencepiece = [
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jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)"]
numpy = ["numpy (>=1.21.6)"]
paddlepaddle = ["paddlepaddle (>=2.4.1)"]
quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
tensorflow = ["tensorflow (>=2.11.0)"]
testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "numpy (>=1.21.6)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)"]
torch = ["torch (>=1.10)"]
[[package]]
name = "sentencepiece"
version = "0.1.99"
description = "SentencePiece python wrapper"
optional = false
python-versions = "*"
files = [
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......@@ -2055,23 +1765,66 @@ sentencepiece = [
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setuptools = [
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name = "setuptools"
version = "68.0.0"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
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python-versions = ">=3.7"
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testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
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[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = true
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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sympy = [
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name = "sympy"
version = "1.12"
description = "Computer algebra system (CAS) in Python"
optional = false
python-versions = ">=3.8"
files = [
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texttable = [
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mpmath = ">=0.19"
[[package]]
name = "texttable"
version = "1.6.7"
description = "module to create simple ASCII tables"
optional = true
python-versions = "*"
files = [
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tokenizers = [
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name = "tokenizers"
version = "0.13.3"
description = "Fast and Customizable Tokenizers"
optional = false
python-versions = "*"
files = [
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......@@ -2113,11 +1866,30 @@ tokenizers = [
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tomli = [
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dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
[[package]]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.7"
files = [
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torch = [
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name = "torch"
version = "2.0.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = ">=3.8.0"
files = [
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......@@ -2139,35 +1911,185 @@ torch = [
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tqdm = [
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filelock = "*"
jinja2 = "*"
networkx = "*"
sympy = "*"
typing-extensions = "*"
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opt-einsum = ["opt-einsum (>=3.3)"]
[[package]]
name = "tqdm"
version = "4.65.0"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
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transformers = [
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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dev = ["py-make (>=0.1.0)", "twine", "wheel"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "transformers"
version = "4.29.2"
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
optional = false
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win32-setctime = [
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zstd = ["zstandard (>=0.18.0)"]
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wrapt = [
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dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
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name = "wrapt"
version = "1.15.0"
description = "Module for decorators, wrappers and monkey patching."
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
files = [
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......@@ -2244,7 +2166,14 @@ wrapt = [
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xxhash = [
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name = "xxhash"
version = "3.2.0"
description = "Python binding for xxHash"
optional = true
python-versions = ">=3.6"
files = [
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{file = "xxhash-3.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1bdd57973e2b802ef32553d7bebf9402dac1557874dbe5c908b499ea917662cd"},
{file = "xxhash-3.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b7c9aa77bbce61a5e681bd39cb6a804338474dcc90abe3c543592aa5d6c9a9b"},
......@@ -2344,7 +2273,14 @@ xxhash = [
{file = "xxhash-3.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:9d3f686e3d1c8900c5459eee02b60c7399e20ec5c6402364068a343c83a61d90"},
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]
yarl = [
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name = "yarl"
version = "1.9.2"
description = "Yet another URL library"
optional = true
python-versions = ">=3.7"
files = [
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......@@ -2420,3 +2356,17 @@ yarl = [
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idna = ">=2.0"
multidict = ">=4.0"
[extras]
accelerate = ["accelerate"]
bnb = ["bitsandbytes"]
quantize = ["accelerate", "datasets", "texttable"]
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "65fa01feaf4d0c939bfa7991803e4454d853f56652e4349151ea8dd9aa8feedf"
server/pyproject.toml
View file @ ac736fd8
......@@ -30,6 +30,7 @@ transformers = "4.29.2"
einops = "^0.6.1"
texttable = { version = "^1.6.7", optional = true }
datasets = { version = "^2.14.0", optional = true }
peft = "^0.4.0"
[tool.poetry.extras]
accelerate = ["accelerate"]
......
server/requirements.txt
View file @ ac736fd8
accelerate==0.19.0 ; python_version >= "3.9" and python_version < "4.0"
aiohttp==3.8.5 ; python_version >= "3.9" and python_version < "4.0"
aiosignal==1.3.1 ; python_version >= "3.9" and python_version < "4.0"
async-timeout==4.0.2 ; python_version >= "3.9" and python_version < "4.0"
attrs==23.1.0 ; python_version >= "3.9" and python_version < "4.0"
backoff==2.2.1 ; python_version >= "3.9" and python_version < "4.0"
bitsandbytes==0.38.1 ; python_version >= "3.9" and python_version < "4.0"
certifi==2023.5.7 ; python_version >= "3.9" and python_version < "4.0"
charset-normalizer==3.1.0 ; python_version >= "3.9" and python_version < "4.0"
click==8.1.3 ; python_version >= "3.9" and python_version < "4.0"
colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32" or python_version >= "3.9" and python_version < "4.0" and platform_system == "Windows"
datasets==2.14.0 ; python_version >= "3.9" and python_version < "4.0"
colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and (sys_platform == "win32" or platform_system == "Windows")
deprecated==1.2.14 ; python_version >= "3.9" and python_version < "4.0"
dill==0.3.7 ; python_version >= "3.9" and python_version < "4.0"
einops==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
filelock==3.12.2 ; python_version >= "3.9" and python_version < "4.0"
frozenlist==1.4.0 ; python_version >= "3.9" and python_version < "4.0"
fsspec==2023.6.0 ; python_version >= "3.9" and python_version < "4.0"
fsspec[http]==2023.6.0 ; python_version >= "3.9" and python_version < "4.0"
googleapis-common-protos==1.59.1 ; python_version >= "3.9" and python_version < "4.0"
grpc-interceptor==0.15.2 ; python_version >= "3.9" and python_version < "4.0"
grpcio-reflection==1.56.0 ; python_version >= "3.9" and python_version < "4.0"
......@@ -29,10 +20,8 @@ jinja2==3.1.2 ; python_version >= "3.9" and python_version < "4.0"
loguru==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
markupsafe==2.1.3 ; python_version >= "3.9" and python_version < "4.0"
mpmath==1.3.0 ; python_version >= "3.9" and python_version < "4.0"
multidict==6.0.4 ; python_version >= "3.9" and python_version < "4.0"
multiprocess==0.70.15 ; python_version >= "3.9" and python_version < "4.0"
networkx==3.1 ; python_version >= "3.9" and python_version < "4.0"
numpy==1.25.0 ; python_version < "4.0" and python_version >= "3.9"
numpy==1.25.0 ; python_version >= "3.9" and python_version < "4.0"
opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
......@@ -43,30 +32,22 @@ opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "4.0"
packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
pandas==2.0.3 ; python_version >= "3.9" and python_version < "4.0"
peft==0.4.0 ; python_version >= "3.9" and python_version < "4.0"
protobuf==4.23.3 ; python_version >= "3.9" and python_version < "4.0"
psutil==5.9.5 ; python_version >= "3.9" and python_version < "4.0"
pyarrow==12.0.1 ; python_version >= "3.9" and python_version < "4.0"
python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
pyyaml==6.0 ; python_version >= "3.9" and python_version < "4.0"
regex==2023.6.3 ; python_version >= "3.9" and python_version < "4.0"
requests==2.31.0 ; python_version >= "3.9" and python_version < "4.0"
safetensors==0.3.1 ; python_version >= "3.9" and python_version < "4.0"
sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "4.0"
setuptools==68.0.0 ; python_version >= "3.9" and python_version < "4.0"
six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
sympy==1.12 ; python_version >= "3.9" and python_version < "4.0"
texttable==1.6.7 ; python_version >= "3.9" and python_version < "4.0"
tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "4.0"
torch==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
tqdm==4.65.0 ; python_version >= "3.9" and python_version < "4.0"
transformers==4.29.2 ; python_version >= "3.9" and python_version < "4.0"
typer==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
typing-extensions==4.7.1 ; python_version >= "3.9" and python_version < "4.0"
tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
urllib3==2.0.3 ; python_version >= "3.9" and python_version < "4.0"
win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32"
wrapt==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
xxhash==3.2.0 ; python_version >= "3.9" and python_version < "4.0"
yarl==1.9.2 ; python_version >= "3.9" and python_version < "4.0"
server/text_generation_server/cli.py
View file @ ac736fd8
......@@ -6,6 +6,7 @@ from pathlib import Path
from loguru import logger
from typing import Optional
from enum import Enum
from huggingface_hub import hf_hub_download
app = typer.Typer()
......@@ -88,6 +89,7 @@ def download_weights(
auto_convert: bool = True,
logger_level: str = "INFO",
json_output: bool = False,
trust_remote_code: bool = False,
):
# Remove default handler
logger.remove()
......@@ -118,6 +120,12 @@ def download_weights(
) is not None
if not is_local_model:
try:
adapter_config_filename = hf_hub_download(model_id, revision=revision, filename="adapter_config.json")
utils.download_and_unload_peft(model_id, revision, trust_remote_code=trust_remote_code)
except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
pass
# Try to download weights from the hub
try:
filenames = utils.weight_hub_files(model_id, revision, extension)
......
server/text_generation_server/models/flash_rw.py
View file @ ac736fd8
......@@ -54,7 +54,7 @@ class FlashRWSharded(FlashCausalLM):
device,
dtype,
process_group=self.process_group,
aliases={"transformer.word_embeddings.weight": ["lm_head.weight"]},
aliases={"lm_head.weight": ["transformer.word_embeddings.weight"]},
)
config.quantize = quantize
......
server/text_generation_server/utils/__init__.py
View file @ ac736fd8
from text_generation_server.utils.convert import convert_file, convert_files
from text_generation_server.utils.dist import initialize_torch_distributed
from text_generation_server.utils.weights import Weights
from text_generation_server.utils.peft import download_and_unload_peft
from text_generation_server.utils.hub import (
weight_files,
weight_hub_files,
......@@ -26,6 +27,7 @@ __all__ = [
"weight_files",
"weight_hub_files",
"download_weights",
"download_and_unload_peft",
"EntryNotFoundError",
"HeterogeneousNextTokenChooser",
"LocalEntryNotFoundError",
......
server/text_generation_server/utils/peft.py 0 → 100644
View file @ ac736fd8
import os
import json
from loguru import logger
import torch
from transformers import AutoTokenizer
from peft import AutoPeftModelForCausalLM, AutoPeftModelForSeq2SeqLM
def download_and_unload_peft(model_id, revision, trust_remote_code):
torch_dtype = torch.float16
logger.info("Peft model detected.")
logger.info("Loading the model it might take a while without feedback")
try:
model = AutoPeftModelForCausalLM.from_pretrained(
model_id,
revision=revision,
torch_dtype=torch_dtype,
trust_remote_code=trust_remote_code,
low_cpu_mem_usage=True,
)
except Exception:
model = AutoPeftModelForSeq2SeqLM.from_pretrained(
model_id,
revision=revision,
torch_dtype=torch_dtype,
trust_remote_code=trust_remote_code,
low_cpu_mem_usage=True,
)
logger.info(f"Loaded.")
logger.info(f"Merging the lora weights.")
base_model_id = model.peft_config["default"].base_model_name_or_path
model = model.merge_and_unload()
os.makedirs(model_id, exist_ok=True)
cache_dir = model_id
logger.info(f"Saving the newly created merged model to {cache_dir}")
tokenizer = AutoTokenizer.from_pretrained(base_model_id)
model.save_pretrained(cache_dir, safe_serialization=True)
model.config.save_pretrained(cache_dir)
tokenizer.save_pretrained(cache_dir)
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