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Added models and usage documentation #18
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Added models and usage documentation #18
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Document how to use Ollama local models for tab autocomplete. Provides examples for Codegemma and StarCoder2 models.
Adds a new page to the documentation that explains the different models available in Pear AI and how to use them effectively. This includes information on usage limits, tips for maximizing usage, and contact information for support.
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Someone is attempting to deploy a commit to the PearAI Team on Vercel. A member of the Team first needs to authorize it. |
It also updates the documentation to reflect the new Algolia integration and includes a new section on models and usage. Finally, it updates the sidebar navigation to include the new Models & Usage section.
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@Fryingpannn - I removed the edits to the tab autocomplete section so that the only changes added this PR are the model usage additions. That way we can get this PR approved. I will open a separate PR for the tab autocomplete changes. |
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there's been some updates recently regarding the usage. We are measuring by tokens generated (prompt + llm response), calculated directly using the provider's tokenizer. The hard limit is $15/month, after which a top-up is required. We've added a top-up feature (see trypear/pear-landing-page#307) that allows a user to add credits to their account. These credits do not expire and are used only when a user hits their monthly limit. This feature is already in prod Also might be good to clarify that only requests that use the PearAI server counts as "usage". |
Merge Main
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I can add this @jpan8866 #18 (comment) |
Adds a new section explaining model choices and usage limits, as well as providing tips for optimizing usage. Also includes screenshots for subscription options and top-up credits.
@jpan8866 @Fryingpannn Updated! |
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I forgot to add something in regards to: only requests that use the PearAI server counts as "usage". I will update the PR today. |
| # 🚀 Usage Costs & Available Models | ||
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| ## What are the usage costs? (PearAI Server only) | ||
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Ouput should be output

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