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The current checkpoint conversion guide introduced in #98 is thorough and detailed, providing a strong reference for experienced users. However, it could be improved to better support newcomers who are unfamiliar with Fast-LLM's codebase. Key areas where the guide falls short include:
Lack of a Clear Entry Point:
The guide doesn't provide an intuitive starting point or a step-by-step walkthrough for new contributors. Readers will find it challenging to navigate through the background information before reaching actionable content.
Abstract Example:
The placeholder example, AwesomeModel, is quite generic and may feel disconnected from real-world applications. A more familiar, concrete example would help readers better understand and apply the concepts.
Linear Structure:
The guide's current structure emphasizes background theory and detailed explanations before practical steps. This will delay users from achieving a "quick win" and hinder development momentum.
Empowering Users:
After reading the guide, contributors can still feel unsure about how to start implementing a new converter. The abstractions make it harder to translate the concepts into actionable steps.
Efficiency Concerns:
Without a more approachable structure, onboarding contributors will likely require additional support, which will slow adoption and productivity.
💡 Proposed Solution
To make the guide more accessible and actionable, we propose the following improvements:
Add a Quick-Start Section:
Provide a step-by-step walkthrough for creating a converter using a real-world example, such as LlamaCheckpointFormat.
Focus on delivering a functional result quickly, giving users an early sense of accomplishment.
Reorganize the Guide:
Introduce actionable content earlier in the guide.
Move detailed explanations and advanced topics to a later section, ensuring the main flow is streamlined and user-friendly.
Use Real-World Examples:
Replace the abstract AwesomeModel placeholder with a concrete, familiar example like LlamaCheckpointFormat. This will make the guide more relatable and practical.
🔄 Alternatives Considered
Adding a "Getting Started" Subsection:
A short "Getting Started" subsection could be added to the existing guide. While this might provide some immediate relief, it may not address the deeper structural issues fully.
📈 Potential Benefits
Faster Onboarding:
Contributors can get started more quickly, reducing the learning curve and building confidence.
Streamlined Support:
A more approachable guide will require less hand-holding, allowing teams to focus on higher-priority tasks.
Encouraging Adoption:
By making the process easier and more intuitive, contributors are more likely to engage with the checkpoint conversion system.
Improved Usability:
A structured, example-driven guide will appeal to contributors of varying experience levels and help them make meaningful progress.
Note that the doc I made is meant to be part of the in-depth reference section, so we do want detailed explanations. It should eventually be part of a more elaborate set of developer documentation, so some details are admittedly missing that would be described elsewhere. I considered using a real-world example, but doing so it would make it difficult to demonstrate all the features, and it would clutter the doc with unnecessary extra code and boilerplate.
I up for making it more accessible, but we should make sure not to obfuscate or drop the more advanced details that will be important for developers that need advanced features. I'd rather supplement this guide with a quick-start guide, either at the beginning of this section or in "Get started / cookbook". A real-world example would be more appropriate for this kind of section, though even a simple example is actually quite big already.
🧐 Problem Description
The current checkpoint conversion guide introduced in #98 is thorough and detailed, providing a strong reference for experienced users. However, it could be improved to better support newcomers who are unfamiliar with Fast-LLM's codebase. Key areas where the guide falls short include:
Lack of a Clear Entry Point:
The guide doesn't provide an intuitive starting point or a step-by-step walkthrough for new contributors. Readers will find it challenging to navigate through the background information before reaching actionable content.
Abstract Example:
The placeholder example,
AwesomeModel
, is quite generic and may feel disconnected from real-world applications. A more familiar, concrete example would help readers better understand and apply the concepts.Linear Structure:
The guide's current structure emphasizes background theory and detailed explanations before practical steps. This will delay users from achieving a "quick win" and hinder development momentum.
Empowering Users:
After reading the guide, contributors can still feel unsure about how to start implementing a new converter. The abstractions make it harder to translate the concepts into actionable steps.
Efficiency Concerns:
Without a more approachable structure, onboarding contributors will likely require additional support, which will slow adoption and productivity.
💡 Proposed Solution
To make the guide more accessible and actionable, we propose the following improvements:
Add a Quick-Start Section:
LlamaCheckpointFormat
.Reorganize the Guide:
Use Real-World Examples:
AwesomeModel
placeholder with a concrete, familiar example likeLlamaCheckpointFormat
. This will make the guide more relatable and practical.🔄 Alternatives Considered
A short "Getting Started" subsection could be added to the existing guide. While this might provide some immediate relief, it may not address the deeper structural issues fully.
📈 Potential Benefits
Faster Onboarding:
Contributors can get started more quickly, reducing the learning curve and building confidence.
Streamlined Support:
A more approachable guide will require less hand-holding, allowing teams to focus on higher-priority tasks.
Encouraging Adoption:
By making the process easier and more intuitive, contributors are more likely to engage with the checkpoint conversion system.
Improved Usability:
A structured, example-driven guide will appeal to contributors of varying experience levels and help them make meaningful progress.
📝 Additional Context
For further discussion, refer to the PR review here.
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