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appease the lint gods

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This commit is contained in:
Suraj Subramanian 2025-04-07 11:31:02 -07:00
parent f436348124
commit 53f29eb8b9
2 changed files with 8 additions and 22 deletions
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6
llama_stack/models/llama/llama4/prompt_format.md
View file

@ -76,7 +76,7 @@ Notice the structure of the image section:
<|image_start|><|image|><|patch|>...<|patch|><|image_end|>
```
This is due to the image being smaller than the tile size.
## Single image prompt format
@ -102,7 +102,7 @@ With a bigger image, the image will include the tile separator tokens. Additiona
```
<|image_start|><|patch|>...<|patch|><|tile_x_separator|><|patch|>...<|patch|><|tile_y_separator|><|patch|>...<|patch|><|image|><|patch|>...<|patch|><|image_end|>
```
## Multiple images prompt format
@ -321,5 +321,3 @@ The top 2 latest trending songs are:
- Tool outputs should be passed back to the model in the `tool` (a.k.a. `ipython`) role.
- The model parses the tool output contents until it encounters the `<|eom|>` tag. It uses this to synthesize an appropriate response to the query.

24
llama_stack/models/llama/llama4/prompts.py
View file

@ -74,17 +74,13 @@ def usecases(base_model: bool = False) -> List[UseCase | str]:
Llama4UseCase(
title="Text completion - Paris information",
description="Text completion for Llama 4 base model uses this format.",
dialogs=[
TextCompletionContent(content="The capital of France is Paris")
],
dialogs=[TextCompletionContent(content="The capital of France is Paris")],
),
Llama4UseCase(
title="Text completion - The color of the sky",
description="Text completion for Llama 4 base model uses this format.",
dialogs=[
TextCompletionContent(
content="The color of the sky is blue but sometimes it can also be"
)
TextCompletionContent(content="The color of the sky is blue but sometimes it can also be")
],
notes="",
),
@ -111,9 +107,7 @@ def usecases(base_model: bool = False) -> List[UseCase | str]:
description="Here is a regular multi-turn user assistant conversation and how its formatted.",
dialogs=[
[
RawMessage(
role="system", content="You are a helpful assistant"
),
RawMessage(role="system", content="You are a helpful assistant"),
RawMessage(
role="user",
content="Answer who are you in the form of jeopardy?",
@ -133,9 +127,7 @@ def usecases(base_model: bool = False) -> List[UseCase | str]:
role="user",
content=[
RawMediaItem(data=BytesIO(img_small_dog)),
RawTextItem(
text="Describe this image in two sentences"
),
RawTextItem(text="Describe this image in two sentences"),
],
)
]
@ -157,9 +149,7 @@ def usecases(base_model: bool = False) -> List[UseCase | str]:
role="user",
content=[
RawMediaItem(data=BytesIO(img_dog)),
RawTextItem(
text="Describe this image in two sentences"
),
RawTextItem(text="Describe this image in two sentences"),
],
)
]
@ -181,9 +171,7 @@ def usecases(base_model: bool = False) -> List[UseCase | str]:
content=[
RawMediaItem(data=BytesIO(img_dog)),
RawMediaItem(data=BytesIO(img_pasta)),
RawTextItem(
text="Describe these images in two sentences"
),
RawTextItem(text="Describe these images in two sentences"),
],
)
]