remove default to ignore safetensors

docs/source/api_ref_models.rst

@@ -99,7 +99,7 @@ To download the Llama3.1-405B-Instruct model:
     tune download meta-llama/Meta-Llama-3.1-405B-Instruct --ignore-patterns "original/consolidated*" --hf-token <HF_TOKEN>
 
 To download the Llama3 weights of the above models, you can instead download from `Meta-Llama-3-8B-Instruct` and
-`Meta-Llama-3-70B-Instruct`.
+`Meta-Llama-3-70B-Instruct`, and remove the ignore patterns flag.
 
 .. autosummary::
     :toctree: generated/
@@ -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/
@@ -307,7 +307,7 @@ To download the Mistral 7B v0.1 model:
 
 .. code-block:: bash
 
-    tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --hf-token <HF_TOKEN>
+    tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 
 .. autosummary::
     :toctree: generated/

recipes/configs/llama2/13B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config llama2/13B_full

recipes/configs/llama2/13B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 lora_finetune_distributed --config llama2/13B_lora

recipes/configs/llama2/13B_qlora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-13b-hf --output-dir /tmp/Llama-2-13b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama2/13B_qlora_single_device

recipes/configs/llama2/70B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-70b-hf --output-dir /tmp/Llama-2-70b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-70b-hf --output-dir /tmp/Llama-2-70b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # This config needs 8 GPUs to run
 #   # tune run --nproc_per_node 8 lora_finetune_distributed --config llama2/70B_lora

recipes/configs/llama2/70B_qlora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-70b-hf --output-dir /tmp/Llama-2-70b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-70b-hf --output-dir /tmp/Llama-2-70b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # This config needs 8 GPUs to run
 #   # tune run --nproc_per_node 8 lora_finetune_distributed --config llama2/70B_qlora

recipes/configs/llama2/7B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config llama2/7B_full

recipes/configs/llama2/7B_full_low_memory.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --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/llama2/7B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --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 llama2/7B_lora

recipes/configs/llama2/7B_lora_dpo.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_dpo_distributed --config llama2/7B_lora_dpo

recipes/configs/llama2/7B_lora_dpo_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_dpo_single_device --config llama2/7B_lora_dpo_single_device

recipes/configs/llama2/7B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama2/7B_lora_single_device

recipes/configs/llama2/7B_qat_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nnodes 1 --nproc_per_node 4 qat_distributed --config llama2/7B_qat_full

recipes/configs/llama2/7B_qlora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --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 llama2/7B_qlora

recipes/configs/llama2/7B_qlora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --hf-token <HF_TOKEN>
+#   tune download meta-llama/Llama-2-7b-hf --output-dir /tmp/Llama-2-7b-hf --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama2/7B_qlora_single_device

recipes/configs/llama2/generation_v2.yaml

@@ -1,7 +1,7 @@
 # Config for running the InferenceRecipe in generate_V2.py to generate output from an LLM
 #
 # This config assumes that you've run the following command before launching:
-#   tune download meta-llama/Llama-2-7b-chat-hf --output-dir /tmp/Llama-2-7b-chat-hf
+#   tune download meta-llama/Llama-2-7b-chat-hf --output-dir /tmp/Llama-2-7b-chat-hf --ignore-patterns "*.safetensors"
 #
 # To launch, run the following command:
 #    tune run dev/generate_v2 --config llama2/generation_v2

recipes/configs/llama3/70B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-70B-Instruct --output-dir /tmp/Meta-Llama-3-70B-Instruct  --ignore-patterns "original/consolidated*" --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-70B-Instruct --output-dir /tmp/Meta-Llama-3-70B-Instruct --ignore-patterns "original/consolidated*" --hf-token <HF_TOKEN>
 #
 # To launch on 8 devices, run the following command from root:
 #   tune run --nproc_per_node 8 full_finetune_distributed --config llama3/70B_full

recipes/configs/llama3/8B_dora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --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 llama3/8B_dora

recipes/configs/llama3/8B_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nproc_per_node 4 full_finetune_distributed --config llama3/8B_full

recipes/configs/llama3/8B_full_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --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/llama3/8B_lora.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 2 devices, run the following command from root:
 #   tune run --nproc_per_node 2 lora_finetune_distributed --config llama3/8B_lora

recipes/configs/llama3/8B_lora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama3/8B_lora_single_device

recipes/configs/llama3/8B_qat_full.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on 4 devices, run the following command from root:
 #   tune run --nproc_per_node 4 qat_distributed --config llama3/8B_qat_full

recipes/configs/llama3/8B_qdora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama3/8B_qdora_single_device

recipes/configs/llama3/8B_qlora_single_device.yaml

@@ -3,7 +3,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN>
+#   tune download meta-llama/Meta-Llama-3-8B-Instruct --output-dir /tmp/Meta-Llama-3-8B-Instruct --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config llama3/8B_qlora_single_device

recipes/configs/mistral/7B_full.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> --output-dir /tmp/Mistral-7B-v0.1
+#   tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # Run this config on 4 GPUs using the following:
 #   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config mistral/7B_full

recipes/configs/mistral/7B_full_low_memory.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> --output-dir /tmp/Mistral-7B-v0.1
+#   tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --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/mistral/7B_full_ppo_low_memory.yaml

@@ -7,8 +7,8 @@
 #
 # 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 mistralai/Mistral-7B-Instruct-v0.2 --output-dir /tmp/Mistral-7B-Instruct-v0.2/ --hf-token HF_TOKEN
+#   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.
 # The default config uses an optimizer from bitsandbytes. If you do not have it installed,

recipes/configs/mistral/7B_lora.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> --output-dir /tmp/Mistral-7B-v0.1
+#   tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # Run this config on 2 GPUs using the following:
 #   tune run --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config mistral/7B_lora

recipes/configs/mistral/7B_lora_single_device.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> --output-dir /tmp/Mistral-7B-v0.1
+#   tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config mistral/7B_lora_single_device

recipes/configs/mistral/7B_qlora_single_device.yaml

@@ -7,7 +7,7 @@
 #
 # This config assumes that you've run the following command before launching
 # this run:
-#   tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> --output-dir /tmp/Mistral-7B-v0.1
+#   tune download mistralai/Mistral-7B-v0.1 --output-dir /tmp/Mistral-7B-v0.1 --ignore-patterns "*.safetensors" --hf-token <HF_TOKEN>
 #
 # To launch on a single device, run the following command from root:
 #   tune run lora_finetune_single_device --config mistral/7B_qlora_single_device

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