update requires

Former-commit-id: 77666bd2278a3cfe5b567f4fe285b0f93871d166

.github/workflows/tests.yml

@@ -22,7 +22,7 @@ jobs:
       fail-fast: false
       matrix:
         python-version:
-          - "3.8"
+          - "3.8"  # TODO: remove py38 in next transformers release
           - "3.9"
           - "3.10"
           - "3.11"
@@ -54,7 +54,6 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          python -m pip install git+https://github.com/huggingface/transformers.git
           python -m pip install ".[torch,dev]"
 
       - name: Check quality

.pre-commit-config.yaml

@@ -0,0 +1,28 @@
+repos:
+-   repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v5.0.0
+    hooks:
+    -   id: check-ast
+    -   id: check-added-large-files
+        args: ['--maxkb=25000']
+    -   id: check-merge-conflict
+    -   id: check-yaml
+    -   id: debug-statements
+    -   id: end-of-file-fixer
+    -   id: trailing-whitespace
+        args: [--markdown-linebreak-ext=md]
+    -   id: no-commit-to-branch
+        args: ['--branch', 'master']
+
+-   repo: https://github.com/asottile/pyupgrade
+    rev: v3.17.0
+    hooks:
+    -   id: pyupgrade
+        args: [--py38-plus]
+
+-   repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.6.9
+    hooks:
+    -   id: ruff
+        args: [--fix]
+    -   id: ruff-format

Makefile

@@ -1,7 +1,14 @@
-.PHONY: quality style test
+.PHONY: build commit quality style test
 
 check_dirs := scripts src tests setup.py
 
+build:
+	pip install build && python -m build
+
+commit:
+	pre-commit install
+	pre-commit run --all-files
+
 quality:
 	ruff check $(check_dirs)
 	ruff format --check $(check_dirs)

requirements.txt

@@ -1,6 +1,6 @@
-transformers>=4.41.2,<=4.45.2
+transformers>=4.41.2,<=4.46.0
 datasets>=2.16.0,<=2.21.0
-accelerate>=0.30.1,<=0.34.2
+accelerate>=0.34.0,<=1.0.1
 peft>=0.11.1,<=0.12.0
 trl>=0.8.6,<=0.9.6
 gradio>=4.0.0,<5.0.0

src/llamafactory/__init__.py

@@ -20,17 +20,17 @@ Level:
 
 Dependency graph:
   main:
-    transformers>=4.41.2,<=4.45.2
+    transformers>=4.41.2,<=4.46.0
     datasets>=2.16.0,<=2.21.0
-    accelerate>=0.30.1,<=0.34.2
+    accelerate>=0.34.0,<=1.0.1
     peft>=0.11.1,<=0.12.0
     trl>=0.8.6,<=0.9.6
   attention:
     transformers>=4.42.4 (gemma+fa2)
   longlora:
-    transformers>=4.41.2,<=4.45.2
+    transformers>=4.41.2,<=4.46.0
   packing:
-    transformers>=4.41.2,<=4.45.2
+    transformers>=4.41.2,<=4.46.0
 
 Disable version checking: DISABLE_VERSION_CHECK=1
 Enable VRAM recording: RECORD_VRAM=1

src/llamafactory/extras/misc.py

@@ -79,9 +79,9 @@ def check_dependencies() -> None:
     if os.environ.get("DISABLE_VERSION_CHECK", "0").lower() in ["true", "1"]:
         logger.warning("Version checking has been disabled, may lead to unexpected behaviors.")
     else:
-        require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
+        require_version("transformers>=4.41.2,<=4.46.0", "To fix: pip install transformers>=4.41.2,<=4.46.0")
         require_version("datasets>=2.16.0,<=2.21.0", "To fix: pip install datasets>=2.16.0,<=2.21.0")
-        require_version("accelerate>=0.30.1,<=0.34.2", "To fix: pip install accelerate>=0.30.1,<=0.34.2")
+        require_version("accelerate>=0.34.0,<=1.0.1", "To fix: pip install accelerate>=0.34.0,<=1.0.1")
         require_version("peft>=0.11.1,<=0.12.0", "To fix: pip install peft>=0.11.1,<=0.12.0")
         require_version("trl>=0.8.6,<=0.9.6", "To fix: pip install trl>=0.8.6,<=0.9.6")
 

src/llamafactory/model/model_utils/longlora.py

@@ -86,7 +86,7 @@ def llama_attention_forward(
 
     if getattr(self.config, "group_size_ratio", None) and self.training:  # shift
         groupsz = int(q_len * getattr(self.config, "group_size_ratio"))
-        assert q_len % groupsz == 0, "q_len {} should be divisible by group size {}.".format(q_len, groupsz)
+        assert q_len % groupsz == 0, f"q_len {q_len} should be divisible by group size {groupsz}."
         num_groups = q_len // groupsz
 
         def shift(state: "torch.Tensor") -> "torch.Tensor":
@@ -195,7 +195,7 @@ def llama_flash_attention_2_forward(
 
     if getattr(self.config, "group_size_ratio", None) and self.training:  # shift
         groupsz = int(q_len * getattr(self.config, "group_size_ratio"))
-        assert q_len % groupsz == 0, "q_len {} should be divisible by group size {}.".format(q_len, groupsz)
+        assert q_len % groupsz == 0, f"q_len {q_len} should be divisible by group size {groupsz}."
         num_groups = q_len // groupsz
 
         def shift(state: "torch.Tensor") -> "torch.Tensor":
@@ -301,7 +301,7 @@ def llama_sdpa_attention_forward(
 
     if getattr(self.config, "group_size_ratio", None) and self.training:  # shift
         groupsz = int(q_len * getattr(self.config, "group_size_ratio"))
-        assert q_len % groupsz == 0, "q_len {} should be divisible by group size {}.".format(q_len, groupsz)
+        assert q_len % groupsz == 0, f"q_len {q_len} should be divisible by group size {groupsz}."
         num_groups = q_len // groupsz
 
         def shift(state: "torch.Tensor") -> "torch.Tensor":
@@ -353,7 +353,7 @@ def llama_sdpa_attention_forward(
 
 
 def _apply_llama_patch() -> None:
-    require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
+    require_version("transformers>=4.41.2,<=4.46.0", "To fix: pip install transformers>=4.41.2,<=4.46.0")
     LlamaAttention.forward = llama_attention_forward
     LlamaFlashAttention2.forward = llama_flash_attention_2_forward
     LlamaSdpaAttention.forward = llama_sdpa_attention_forward

src/llamafactory/model/model_utils/packing.py

@@ -114,7 +114,7 @@ def get_unpad_data(attention_mask: "torch.Tensor") -> Tuple["torch.Tensor", "tor
 
 
 def _patch_for_block_diag_attn(model_type: str) -> None:
-    require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
+    require_version("transformers>=4.41.2,<=4.46.0", "To fix: pip install transformers>=4.41.2,<=4.46.0")
     if is_transformers_version_greater_than_4_43():
         import transformers.modeling_flash_attention_utils