Llama 3 8B Lunaris
VerifiedSao10k's Llama 3 8B Lunaris handles extended text tasks with precision.
About Llama 3 8B Lunaris
Llama 3 8B Lunaris follows the transformer design of the original Llama 3 family. Sao10k adapted the base model while keeping weights proprietary. The 8192-token context supports coherent processing of longer documents.
Its text modality limits use to written input and output. The closed nature allows the creator to manage access and updates directly. This setup suits scenarios requiring consistent performance without public redistribution.
Users typically apply it to content drafting, summarization, and conversational interfaces. Integration works through APIs or hosted services provided by the developer. The model fits environments where an 8B-scale LLM balances capability and resource needs.
Capabilities
How Llama 3 8B Lunaris compares
Llama 3 8B Lunaris (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Llama 3 8B Lunaris ranks #4 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Conversational Dialogue Systems
The model handles back-and-forth exchanges effectively thanks to its dedicated conversational dialogue capabilities.
Code Assistance Workflows
It supports code generation and debugging tasks as part of its listed code assistance features.
Text Summarization Projects
Users can apply it to condense documents and articles within the available 8192-token context window.
Strengths & limitations
Strengths
- +Efficient inference on consumer hardware
- +Coherent multi-turn responses
- +Good general-purpose instruction tuning
Limitations
- –Limited depth on complex multi-step tasks
- –8k context restricts long documents
- –Text-only, no vision or multimodal support
Cost calculator
Estimate what Llama 3 8B Lunaris would cost for your usage.
Based on Llama 3 8B Lunaris's $0.04/1M input · $0.05/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "sao10k/l3-lunaris-8b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: sao10k/l3-lunaris-8b
Editor's verdict
Llama 3 8B Lunaris is Sao10k's proprietary language models with a 8K-token context window.
At $0.05 per 1M output tokens, it is very cost-efficient for its class.
It is available through Sao10k's API and aggregators like OpenRouter.
Best suited to efficient inference on consumer hardware and coherent multi-turn responses.
Frequently asked questions
The model provides an 8192-token context window for processing input.
User reviews
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