L3 Lunaris 8B
Neural Network
L3 Lunaris 8B is a versatile Llama 3-based model, merged from several models for creative and roleplay scenarios.
Max answer length
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Context size
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Prompt cost
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Answer cost
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How it works L3 Lunaris 8B?
L3 Lunaris 8B is a generalist based on the Llama 3 architecture, created as a thoughtful merge of several models. The goal was to maintain creative freedom while improving logic and general knowledge, allowing the model to handle free-form dialogue and maintain roles equally well. In BotHub, it is accessible without a VPN or foreign card—you pay with a Russian card in rubles only for tokens actually used, which do not expire. With over 250 other neural networks available in the same window, you can compare responses or switch models in a second, and the unified OpenAI-compatible API eliminates the need to rewrite integrations. Chats are encrypted via AES-GCM and not saved. Teams have access to contracts, invoices, electronic document management, and an admin panel with limits. It is useful for interactive stories and roleplay scenarios, prototyping game character dialogue, brainstorming plot ideas and lines, building a chat assistant with a natural conversational style, or simply exploring general topics.Frequently asked questions about L3 Lunaris 8B
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a compact text model by sao10k with 8B parameters. It answers questions, writes and edits text, helps with code, and analyzes uploaded documents and images. It is suitable for dialogue scenarios, drafts, and quick everyday tasks where a lightweight and responsive model is important.
In a single response, the model generates up to 7372 tokens—this is a voluminous article or a large code fragment. Keep in mind that the context window is 8192 tokens: your request, attached materials, and the response itself all fit into it, so a long input reduces the space available for the output.
A separate reasoning mode is not noted in our data, but that does not mean it doesn't exist. If you need a chain of steps, ask directly in the prompt to break down the task into points before the final conclusion—this way, the model usually handles simple logic well.
In our data, function calling and strict JSON mode are not noted for this model, so we do not recommend relying on them in production. If the response structure is critical, switch to a model with confirmed support via the unified OpenAI-compatible BotHub API—you won't have to rewrite the integration.
Yes, in addition to text, the model accepts images and documents as input: attach a screenshot, image, or file and ask it to analyze the content. Audio and video are not noted in our data, and the model outputs only text—there will be no sound or images.
The language of prompts and responses is not fixed in our data, so we won't make specific promises—it's easier to test it with your own task. In BotHub, you launch the model without a VPN or foreign card, pay in rubles, and immediately compare it with another in the same window.