remove ignore patterns none

docs/source/api_ref_models.rst

@@ -217,7 +217,7 @@ To download the Qwen2.5 1.5B model, for example:
 
 .. code-block:: bash
 
-    tune download Qwen/Qwen2.5-1.5B-Instruct --output-dir /tmp/Qwen2_5-1_5B-Instruct --ignore-patterns None
+    tune download Qwen/Qwen2.5-1.5B-Instruct --output-dir /tmp/Qwen2_5-1_5B-Instruct
 
 .. autosummary::
     :toctree: generated/
@@ -258,7 +258,7 @@ To download the Qwen2 1.5B model, for example:
 
 .. code-block:: bash
 
-    tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+    tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 
 .. autosummary::
     :toctree: generated/
@@ -283,7 +283,7 @@ To download the Phi-3 Mini 4k instruct model:
 
 .. code-block:: bash
 
-    tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+    tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 
 .. autosummary::
     :toctree: generated/

recipes/configs/mistral/7B_full_ppo_low_memory.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download weqweasdas/RM-Mistral-7B --output-dir /tmp/RM-Mistral-7B/ --ignore-patterns None
+#   tune download weqweasdas/RM-Mistral-7B --output-dir /tmp/RM-Mistral-7B/
 #   tune download mistralai/Mistral-7B-Instruct-v0.2 --output-dir /tmp/Mistral-7B-Instruct-v0.2/ --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # You'll also need to ensure that {output_dir} exists beforehand, as checkpoints for policy and value models are saved in sub-folders.

recipes/configs/phi3/mini_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 #
 # Run this config on 4 GPUs using the following:
 #  tune run --nproc_per_node 4 full_finetune_distributed --config phi3/mini_full

recipes/configs/phi3/mini_full_low_memory.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with

recipes/configs/phi3/mini_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config phi3/mini_lora

recipes/configs/phi3/mini_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config phi3/mini_lora_single_device

recipes/configs/phi3/mini_qlora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --ignore-patterns None --hf-token <HF_TOKEN>
+#   tune download microsoft/Phi-3-mini-4k-instruct --output-dir /tmp/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config phi3/mini_qlora_single_device

recipes/configs/qwen2/0.5B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config qwen2/0.5B_full

recipes/configs/qwen2/0.5B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run full_finetune_single_device --config qwen2/0.5B_full_single_device

recipes/configs/qwen2/0.5B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2/0.5B_lora

recipes/configs/qwen2/0.5B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2/0.5B_lora_single_device

recipes/configs/qwen2/1.5B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config qwen2/1.5B_full

recipes/configs/qwen2/1.5B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with

recipes/configs/qwen2/1.5B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2/1.5B_lora

recipes/configs/qwen2/1.5B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2/1.5B_lora_single_device

recipes/configs/qwen2/7B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config qwen2/7B_full

recipes/configs/qwen2/7B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with

recipes/configs/qwen2/7B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2/7B_lora

recipes/configs/qwen2/7B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2/7B_lora_single_device

recipes/configs/qwen2/knowledge_distillation_distributed.yaml

@@ -3,8 +3,8 @@
 #
 # This config assumes that you've ran the following commands before launching KD:
 # First download the student and teacher models
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # You get better results using KD if the teacher model has already been fine-tuned on the target dataset:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2/1.5B_lora

recipes/configs/qwen2/knowledge_distillation_single_device.yaml

@@ -3,8 +3,8 @@
 #
 # This config assumes that you've ran the following commands before launching KD:
 # First download the student and teacher models
-#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct --ignore-patterns None
-#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2-0.5B-Instruct --output-dir /tmp/Qwen2-0.5B-Instruct
+#   tune download Qwen/Qwen2-1.5B-Instruct --output-dir /tmp/Qwen2-1.5B-Instruct
 #
 # You get better results using KD if the teacher model has already been fine-tuned on the target dataset:
 #   tune run lora_finetune_single_device --config qwen2/1.5B_lora_single_device

recipes/configs/qwen2_5/0.5B_full.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 0.5B model
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-0.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nproc_per_node 2 full_finetune_distributed --config qwen2_5/0.5B_full

recipes/configs/qwen2_5/0.5B_full_single_device.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 0.5B
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-0.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run full_finetune_single_device --config qwen2_5/0.5B_full_single_device

recipes/configs/qwen2_5/0.5B_lora.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 0.5B model
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-0.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nproc_per_node 2 lora_finetune_distributed --config qwen2_5/0.5B_lora

recipes/configs/qwen2_5/0.5B_lora_single_device.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 0.5B model
 #
 # This config assumes that you've run the following command before launching
-#   tune download Qwen/Qwen2.5-0.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-0.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2_5/0.5B_lora_single_device

recipes/configs/qwen2_5/1.5B_full.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 1.5B model
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-1.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nproc_per_node 2 full_finetune_distributed --config qwen2_5/1.5B_full

recipes/configs/qwen2_5/1.5B_full_single_device.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 1.5B
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-1.5B-Instruct
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with:

recipes/configs/qwen2_5/1.5B_lora.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 1.5B model
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-1.5B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nproc_per_node 2 lora_finetune_distributed --config qwen2_5/1.5B_lora

recipes/configs/qwen2_5/1.5B_lora_single_device.yaml

@@ -2,7 +2,7 @@
 # using a Qwen2.5 1.5B model
 #
 # This config assumes that you've run the following command before launching:
-#   tune download Qwen/Qwen2.5-1.5B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-1.5B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2_5/1.5B_lora_single_device

recipes/configs/qwen2_5/14B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-14B-Instruct --output-dir /tmp/Qwen2_5-14B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-14B-Instruct --output-dir /tmp/Qwen2_5-14B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2_5/14B_lora_single_device

recipes/configs/qwen2_5/32B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-32B-Instruct --output-dir /tmp/Qwen2_5-32B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-32B-Instruct --output-dir /tmp/Qwen2_5-32B-Instruct
 #
 # To launch on 8 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 8 lora_finetune_distributed --config qwen2_5/32B_lora

recipes/configs/qwen2_5/3B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 full_finetune_distributed --config qwen2_5/3B_full

recipes/configs/qwen2_5/3B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with

recipes/configs/qwen2_5/3B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2_5/3B_lora

recipes/configs/qwen2_5/3B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-3B-Instruct --output-dir /tmp/Qwen2_5-3B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2_5/3B_lora_single_device

recipes/configs/qwen2_5/72B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-72B-Instruct --output-dir /tmp/Qwen2_5-72B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-72B-Instruct --output-dir /tmp/Qwen2_5-72B-Instruct
 #
 # To launch on 8 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 8 lora_finetune_distributed --config qwen2_5/72B_lora

recipes/configs/qwen2_5/7B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 full_finetune_distributed --config qwen2_5/7B_full

recipes/configs/qwen2_5/7B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct
 #
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,
 # you can install it with

recipes/configs/qwen2_5/7B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config qwen2_5/7B_lora

recipes/configs/qwen2_5/7B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct --ignore-patterns None
+#   tune download Qwen/Qwen2.5-7B-Instruct --output-dir /tmp/Qwen2_5-7B-Instruct
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config qwen2_5/7B_lora_single_device