[v1] add v1 folders (#9225)

src/llamafactory/cli.py

@@ -25,12 +25,13 @@ USAGE = (
     + "| Usage:                                                             |\n"
     + "|   llamafactory-cli api -h: launch an OpenAI-style API server       |\n"
     + "|   llamafactory-cli chat -h: launch a chat interface in CLI         |\n"
-    + "|   llamafactory-cli eval -h: evaluate models                        |\n"
     + "|   llamafactory-cli export -h: merge LoRA adapters and export model |\n"
     + "|   llamafactory-cli train -h: train models                          |\n"
     + "|   llamafactory-cli webchat -h: launch a chat interface in Web UI   |\n"
     + "|   llamafactory-cli webui: launch LlamaBoard                        |\n"
+    + "|   llamafactory-cli env: show environment info                      |\n"
     + "|   llamafactory-cli version: show version info                      |\n"
+    + "| Hint: You can use `lmf` as a shortcut for `llamafactory-cli`.      |\n"
     + "-" * 70
 )
 
@@ -48,9 +49,7 @@ def _run_chat():
 
 
 def _run_eval():
-    from .eval.evaluator import run_eval
+    raise NotImplementedError("Evaluation will be deprecated in the future.")
-
-    return run_eval()
 
 
 def _export_model():

src/llamafactory/extras/env.py

@@ -15,6 +15,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+
+VERSION = "0.9.4.dev0"
+
+
+def print_env() -> None:
     import os
     import platform
 
@@ -26,11 +31,6 @@ import transformers
     import trl
     from transformers.utils import is_torch_cuda_available, is_torch_npu_available
 
-
-VERSION = "0.9.4.dev0"
-
-
-def print_env() -> None:
     info = {
         "`llamafactory` version": VERSION,
         "Platform": platform.platform(),

src/llamafactory/launcher.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from llamafactory.train.tuner import run_exp  # use absolute import
-
 
 def launch():
+    from llamafactory.train.tuner import run_exp  # use absolute import
+
     run_exp()