From 691e2a30cd669076831b9ab08105398a319ce302 Mon Sep 17 00:00:00 2001
From: Max Ryabinin <mryabinin0@gmail.com>
Date: Tue, 1 Apr 2025 17:14:09 +0100
Subject: [PATCH 1/9] WIP extend continued FT

---
 src/together/cli/api/finetune.py   | 20 +++++++++++++++++++-
 src/together/resources/finetune.py | 20 ++++++++++++++++++++
 src/together/types/finetune.py     |  2 ++
 3 files changed, 41 insertions(+), 1 deletion(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index 172acdd3..cd9cbbe4 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -200,6 +200,20 @@ def fine_tuning(ctx: click.Context) -> None:
     "The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}. "
     "The step value is optional, without it the final checkpoint will be used.",
 )
+@click.option(
+    "--from-hf-model",
+    type=str,
+    default=None,
+    help="Model name from the Hugging Face Hub that will be used to initialize the trained model. "
+    "The model config is not validated; any model supported by Transformers should work, but the batch size "
+    "limits are not checked.",
+)
+@click.option(
+    "--hf-api-token",
+    type=str,
+    default=None,
+    help="HF API token to use to download a checkpoint from a private repo",
+)
 def create(
     ctx: click.Context,
     training_file: str,
@@ -234,6 +248,8 @@ def create(
     rpo_alpha: float | None,
     simpo_gamma: float | None,
     from_checkpoint: str,
+    from_hf_model: str,
+    hf_api_token: str,
 ) -> None:
     """Start fine-tuning"""
     client: Together = ctx.obj
@@ -270,6 +286,8 @@ def create(
         rpo_alpha=rpo_alpha,
         simpo_gamma=simpo_gamma,
         from_checkpoint=from_checkpoint,
+        from_hf_model=from_hf_model,
+        hf_api_token=hf_api_token,
     )
 
     if model is None and from_checkpoint is None:
@@ -280,7 +298,7 @@ def create(
         model_name = from_checkpoint.split(":")[0]
 
     model_limits: FinetuneTrainingLimits = client.fine_tuning.get_model_limits(
-        model=model_name
+        model=model_name,
     )
 
     if lora:
diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index 27baf2d2..990476bb 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -76,6 +76,8 @@ def create_finetune_request(
     rpo_alpha: float | None = None,
     simpo_gamma: float | None = None,
     from_checkpoint: str | None = None,
+    from_hf_model: str | None = None,
+    hf_api_token: str | None = None,
 ) -> FinetuneRequest:
     if model is not None and from_checkpoint is not None:
         raise ValueError(
@@ -262,6 +264,8 @@ def create_finetune_request(
         wandb_name=wandb_name,
         training_method=training_method_cls,
         from_checkpoint=from_checkpoint,
+        from_hf_model=from_hf_model,
+        hf_api_token=hf_api_token,
     )
 
     return finetune_request
@@ -341,6 +345,8 @@ def create(
         rpo_alpha: float | None = None,
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
+        from_hf_model: str | None = None,
+        hf_api_token: str | None = None,
     ) -> FinetuneResponse:
         """
         Method to initiate a fine-tuning job
@@ -397,6 +403,10 @@ def create(
             from_checkpoint (str, optional): The checkpoint identifier to continue training from a previous fine-tuning job.
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
+            from_hf_model (str, optional): Model name from the Hugging Face Hub that will be used to initialize the trained model.
+                The model config is not validated; any model supported by Transformers should work, but the batch size
+                limits are not checked. Defaults to None.
+            hf_api_token (str, optional): API key for the Hugging Face Hub. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -450,6 +460,8 @@ def create(
             rpo_alpha=rpo_alpha,
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
+            from_hf_model=from_hf_model,
+            hf_api_token=hf_api_token,
         )
 
         if verbose:
@@ -762,6 +774,8 @@ async def create(
         rpo_alpha: float | None = None,
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
+        from_hf_model: str | None = None,
+        hf_api_token: str | None = None,
     ) -> FinetuneResponse:
         """
         Async method to initiate a fine-tuning job
@@ -818,6 +832,10 @@ async def create(
             from_checkpoint (str, optional): The checkpoint identifier to continue training from a previous fine-tuning job.
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
+            from_hf_model (str, optional): Model name from the Hugging Face Hub that will be used to initialize the trained model.
+                The model config is not validated; any model supported by Transformers should work, but the batch size
+                limits are not checked. Defaults to None.
+            hf_api_token (str, optional): API key for the Huggging Face Hub. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -871,6 +889,8 @@ async def create(
             rpo_alpha=rpo_alpha,
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
+            from_hf_model=from_hf_model,
+            hf_api_token=hf_api_token,
         )
 
         if verbose:
diff --git a/src/together/types/finetune.py b/src/together/types/finetune.py
index e8c388f9..390dcaad 100644
--- a/src/together/types/finetune.py
+++ b/src/together/types/finetune.py
@@ -212,6 +212,8 @@ class FinetuneRequest(BaseModel):
     )
     # from step
     from_checkpoint: str | None = None
+    from_hf_model: str | None = None
+    hf_api_token: str | None = None
 
 
 class FinetuneResponse(BaseModel):

From c6453442698e944d9c45e9999cf43497cdd27241 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Thu, 3 Jul 2025 17:31:53 +0200
Subject: [PATCH 2/9] remove the hf training ckpt

---
 src/together/cli/api/finetune.py   | 12 +-----------
 src/together/resources/finetune.py | 11 -----------
 src/together/types/finetune.py     |  1 -
 3 files changed, 1 insertion(+), 23 deletions(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index cd9cbbe4..15eed907 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -200,19 +200,11 @@ def fine_tuning(ctx: click.Context) -> None:
     "The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}. "
     "The step value is optional, without it the final checkpoint will be used.",
 )
-@click.option(
-    "--from-hf-model",
-    type=str,
-    default=None,
-    help="Model name from the Hugging Face Hub that will be used to initialize the trained model. "
-    "The model config is not validated; any model supported by Transformers should work, but the batch size "
-    "limits are not checked.",
-)
 @click.option(
     "--hf-api-token",
     type=str,
     default=None,
-    help="HF API token to use to download a checkpoint from a private repo",
+    help="HF API token to use to upload a checkpoint to a private repo",
 )
 def create(
     ctx: click.Context,
@@ -248,7 +240,6 @@ def create(
     rpo_alpha: float | None,
     simpo_gamma: float | None,
     from_checkpoint: str,
-    from_hf_model: str,
     hf_api_token: str,
 ) -> None:
     """Start fine-tuning"""
@@ -286,7 +277,6 @@ def create(
         rpo_alpha=rpo_alpha,
         simpo_gamma=simpo_gamma,
         from_checkpoint=from_checkpoint,
-        from_hf_model=from_hf_model,
         hf_api_token=hf_api_token,
     )
 
diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index 990476bb..8e3cebb8 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -76,7 +76,6 @@ def create_finetune_request(
     rpo_alpha: float | None = None,
     simpo_gamma: float | None = None,
     from_checkpoint: str | None = None,
-    from_hf_model: str | None = None,
     hf_api_token: str | None = None,
 ) -> FinetuneRequest:
     if model is not None and from_checkpoint is not None:
@@ -264,7 +263,6 @@ def create_finetune_request(
         wandb_name=wandb_name,
         training_method=training_method_cls,
         from_checkpoint=from_checkpoint,
-        from_hf_model=from_hf_model,
         hf_api_token=hf_api_token,
     )
 
@@ -345,7 +343,6 @@ def create(
         rpo_alpha: float | None = None,
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
-        from_hf_model: str | None = None,
         hf_api_token: str | None = None,
     ) -> FinetuneResponse:
         """
@@ -403,9 +400,6 @@ def create(
             from_checkpoint (str, optional): The checkpoint identifier to continue training from a previous fine-tuning job.
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
-            from_hf_model (str, optional): Model name from the Hugging Face Hub that will be used to initialize the trained model.
-                The model config is not validated; any model supported by Transformers should work, but the batch size
-                limits are not checked. Defaults to None.
             hf_api_token (str, optional): API key for the Hugging Face Hub. Defaults to None.
 
         Returns:
@@ -460,7 +454,6 @@ def create(
             rpo_alpha=rpo_alpha,
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
-            from_hf_model=from_hf_model,
             hf_api_token=hf_api_token,
         )
 
@@ -774,7 +767,6 @@ async def create(
         rpo_alpha: float | None = None,
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
-        from_hf_model: str | None = None,
         hf_api_token: str | None = None,
     ) -> FinetuneResponse:
         """
@@ -832,9 +824,6 @@ async def create(
             from_checkpoint (str, optional): The checkpoint identifier to continue training from a previous fine-tuning job.
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
-            from_hf_model (str, optional): Model name from the Hugging Face Hub that will be used to initialize the trained model.
-                The model config is not validated; any model supported by Transformers should work, but the batch size
-                limits are not checked. Defaults to None.
             hf_api_token (str, optional): API key for the Huggging Face Hub. Defaults to None.
 
         Returns:
diff --git a/src/together/types/finetune.py b/src/together/types/finetune.py
index 390dcaad..e72abf1e 100644
--- a/src/together/types/finetune.py
+++ b/src/together/types/finetune.py
@@ -212,7 +212,6 @@ class FinetuneRequest(BaseModel):
     )
     # from step
     from_checkpoint: str | None = None
-    from_hf_model: str | None = None
     hf_api_token: str | None = None
 
 

From c39a9ad1f9799b5f05b1dbcd8692a55dc6c7df03 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Thu, 3 Jul 2025 17:32:58 +0200
Subject: [PATCH 3/9] Bump version

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 17373042..afd13384 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,7 +12,7 @@ build-backend = "poetry.masonry.api"
 
 [tool.poetry]
 name = "together"
-version = "1.5.17"
+version = "1.5.18"
 authors = ["Together AI <support@together.ai>"]
 description = "Python client for Together's Cloud Platform!"
 readme = "README.md"

From e670b770f8e56c13a9b0a2338fe4c9f3be6f685a Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Thu, 3 Jul 2025 17:37:16 +0200
Subject: [PATCH 4/9] Add fixes

---
 src/together/cli/api/finetune.py   | 10 +++++++++-
 src/together/resources/finetune.py |  7 ++++++-
 src/together/types/finetune.py     |  2 ++
 3 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index 15eed907..44be62c6 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -206,6 +206,12 @@ def fine_tuning(ctx: click.Context) -> None:
     default=None,
     help="HF API token to use to upload a checkpoint to a private repo",
 )
+@click.option(
+    "--hf-repo-to-upload",
+    type=str,
+    default=None,
+    help="HF repo to upload the fine-tuned model to",
+)
 def create(
     ctx: click.Context,
     training_file: str,
@@ -240,7 +246,8 @@ def create(
     rpo_alpha: float | None,
     simpo_gamma: float | None,
     from_checkpoint: str,
-    hf_api_token: str,
+    hf_api_token: str | None,
+    hf_repo_to_upload: str | None,
 ) -> None:
     """Start fine-tuning"""
     client: Together = ctx.obj
@@ -278,6 +285,7 @@ def create(
         simpo_gamma=simpo_gamma,
         from_checkpoint=from_checkpoint,
         hf_api_token=hf_api_token,
+        hf_repo_to_upload=hf_repo_to_upload,
     )
 
     if model is None and from_checkpoint is None:
diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index 8e3cebb8..a95477c9 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -344,6 +344,7 @@ def create(
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
         hf_api_token: str | None = None,
+        hf_repo_to_upload: str | None = None,
     ) -> FinetuneResponse:
         """
         Method to initiate a fine-tuning job
@@ -401,6 +402,7 @@ def create(
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
             hf_api_token (str, optional): API key for the Hugging Face Hub. Defaults to None.
+            hf_repo_to_upload (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -455,6 +457,7 @@ def create(
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
             hf_api_token=hf_api_token,
+            hf_repo_to_upload=hf_repo_to_upload,
         )
 
         if verbose:
@@ -768,6 +771,7 @@ async def create(
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
         hf_api_token: str | None = None,
+        hf_repo_to_upload: str | None = None,
     ) -> FinetuneResponse:
         """
         Async method to initiate a fine-tuning job
@@ -825,6 +829,7 @@ async def create(
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
             hf_api_token (str, optional): API key for the Huggging Face Hub. Defaults to None.
+            hf_repo_to_upload (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -878,8 +883,8 @@ async def create(
             rpo_alpha=rpo_alpha,
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
-            from_hf_model=from_hf_model,
             hf_api_token=hf_api_token,
+            hf_repo_to_upload=hf_repo_to_upload,
         )
 
         if verbose:
diff --git a/src/together/types/finetune.py b/src/together/types/finetune.py
index e72abf1e..45838865 100644
--- a/src/together/types/finetune.py
+++ b/src/together/types/finetune.py
@@ -212,7 +212,9 @@ class FinetuneRequest(BaseModel):
     )
     # from step
     from_checkpoint: str | None = None
+    # hf related fields
     hf_api_token: str | None = None
+    hf_repo_to_upload: str | None = None
 
 
 class FinetuneResponse(BaseModel):

From 65c7ae9650d30ae4d136ed9d496abea2f7b6d880 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Thu, 3 Jul 2025 17:39:10 +0200
Subject: [PATCH 5/9] Add to create finetuning request

---
 src/together/resources/finetune.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index a95477c9..57a952f0 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -77,6 +77,7 @@ def create_finetune_request(
     simpo_gamma: float | None = None,
     from_checkpoint: str | None = None,
     hf_api_token: str | None = None,
+    hf_repo_to_upload: str | None = None,
 ) -> FinetuneRequest:
     if model is not None and from_checkpoint is not None:
         raise ValueError(
@@ -264,6 +265,7 @@ def create_finetune_request(
         training_method=training_method_cls,
         from_checkpoint=from_checkpoint,
         hf_api_token=hf_api_token,
+        hf_repo_to_upload=hf_repo_to_upload,
     )
 
     return finetune_request

From 9e6bbc107208365ae60da5246a9abde0f546d489 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Mon, 7 Jul 2025 11:26:01 +0200
Subject: [PATCH 6/9] Fix naming

---
 src/together/resources/finetune.py | 16 ++++++++--------
 src/together/types/finetune.py     |  2 +-
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index 57a952f0..b69c2a3f 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -77,7 +77,7 @@ def create_finetune_request(
     simpo_gamma: float | None = None,
     from_checkpoint: str | None = None,
     hf_api_token: str | None = None,
-    hf_repo_to_upload: str | None = None,
+    hf_output_repo_name: str | None = None,
 ) -> FinetuneRequest:
     if model is not None and from_checkpoint is not None:
         raise ValueError(
@@ -265,7 +265,7 @@ def create_finetune_request(
         training_method=training_method_cls,
         from_checkpoint=from_checkpoint,
         hf_api_token=hf_api_token,
-        hf_repo_to_upload=hf_repo_to_upload,
+        hf_output_repo_name=hf_output_repo_name,
     )
 
     return finetune_request
@@ -346,7 +346,7 @@ def create(
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
         hf_api_token: str | None = None,
-        hf_repo_to_upload: str | None = None,
+        hf_output_repo_name: str | None = None,
     ) -> FinetuneResponse:
         """
         Method to initiate a fine-tuning job
@@ -404,7 +404,7 @@ def create(
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
             hf_api_token (str, optional): API key for the Hugging Face Hub. Defaults to None.
-            hf_repo_to_upload (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
+            hf_output_repo_name (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -459,7 +459,7 @@ def create(
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
             hf_api_token=hf_api_token,
-            hf_repo_to_upload=hf_repo_to_upload,
+            hf_output_repo_name=hf_output_repo_name,
         )
 
         if verbose:
@@ -773,7 +773,7 @@ async def create(
         simpo_gamma: float | None = None,
         from_checkpoint: str | None = None,
         hf_api_token: str | None = None,
-        hf_repo_to_upload: str | None = None,
+        hf_output_repo_name: str | None = None,
     ) -> FinetuneResponse:
         """
         Async method to initiate a fine-tuning job
@@ -831,7 +831,7 @@ async def create(
                 The format: {$JOB_ID/$OUTPUT_MODEL_NAME}:{$STEP}.
                 The step value is optional, without it the final checkpoint will be used.
             hf_api_token (str, optional): API key for the Huggging Face Hub. Defaults to None.
-            hf_repo_to_upload (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
+            hf_output_repo_name (str, optional): HF repo to upload the fine-tuned model to. Defaults to None.
 
         Returns:
             FinetuneResponse: Object containing information about fine-tuning job.
@@ -886,7 +886,7 @@ async def create(
             simpo_gamma=simpo_gamma,
             from_checkpoint=from_checkpoint,
             hf_api_token=hf_api_token,
-            hf_repo_to_upload=hf_repo_to_upload,
+            hf_output_repo_name=hf_output_repo_name,
         )
 
         if verbose:
diff --git a/src/together/types/finetune.py b/src/together/types/finetune.py
index 45838865..ee160eec 100644
--- a/src/together/types/finetune.py
+++ b/src/together/types/finetune.py
@@ -214,7 +214,7 @@ class FinetuneRequest(BaseModel):
     from_checkpoint: str | None = None
     # hf related fields
     hf_api_token: str | None = None
-    hf_repo_to_upload: str | None = None
+    hf_output_repo_name: str | None = None
 
 
 class FinetuneResponse(BaseModel):

From f4c020d16a2c6d145d085d281b868f11e9fa9a46 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Mon, 7 Jul 2025 15:19:32 +0200
Subject: [PATCH 7/9] Fix

---
 src/together/cli/api/finetune.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index 44be62c6..673fde71 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -247,7 +247,7 @@ def create(
     simpo_gamma: float | None,
     from_checkpoint: str,
     hf_api_token: str | None,
-    hf_repo_to_upload: str | None,
+    hf_output_repo_name: str | None,
 ) -> None:
     """Start fine-tuning"""
     client: Together = ctx.obj
@@ -285,7 +285,7 @@ def create(
         simpo_gamma=simpo_gamma,
         from_checkpoint=from_checkpoint,
         hf_api_token=hf_api_token,
-        hf_repo_to_upload=hf_repo_to_upload,
+        hf_output_repo_name=hf_output_repo_name,
     )
 
     if model is None and from_checkpoint is None:

From 00b48b49844b787bb9fc1a73f5e8bf12ebc23e19 Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Mon, 7 Jul 2025 15:21:22 +0200
Subject: [PATCH 8/9] Fix

---
 src/together/cli/api/finetune.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index 673fde71..417b6ddd 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -207,7 +207,7 @@ def fine_tuning(ctx: click.Context) -> None:
     help="HF API token to use to upload a checkpoint to a private repo",
 )
 @click.option(
-    "--hf-repo-to-upload",
+    "--hf-output-repo-name",
     type=str,
     default=None,
     help="HF repo to upload the fine-tuned model to",

From 0fd15769be770f37c9a8994fa52123af65c0f34b Mon Sep 17 00:00:00 2001
From: Egor Timofeev <etimofeev@together.ai>
Date: Mon, 7 Jul 2025 17:10:53 +0200
Subject: [PATCH 9/9] Wording

---
 src/together/cli/api/finetune.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/together/cli/api/finetune.py b/src/together/cli/api/finetune.py
index 417b6ddd..eaff63b7 100644
--- a/src/together/cli/api/finetune.py
+++ b/src/together/cli/api/finetune.py
@@ -204,7 +204,7 @@ def fine_tuning(ctx: click.Context) -> None:
     "--hf-api-token",
     type=str,
     default=None,
-    help="HF API token to use to upload a checkpoint to a private repo",
+    help="HF API token to use for uploading a checkpoint to a private repo",
 )
 @click.option(
     "--hf-output-repo-name",