l3-lunaris-8b
Llama 3 8B Lunaris is a versatile generalist and roleplay model based on Llama 3, a merge of several models that balances creativity with logic and general knowledge.
Pricing: Input 8 credits / 1M tokens (≈ $0.04), Output 10 credits / 1M tokens (≈ $0.05).
Prices updated
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This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
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Llama 3 8B Lunaris API on ModelFold
Llama 3 8B Lunaris is a versatile generalist and roleplay model based on Llama 3, a merge of several models that balances creativity with logic and general knowledge. Try Llama 3 8B Lunaris in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Llama 3 8B Lunaris API
Llama 3 8B Lunaris at a glance
Llama 3 8B Lunaris is a chat model from Sao10K. It accepts text as input and returns text, with a context window of up to 8K tokens.
Use it without hosting anything
On ModelFold you call Llama 3 8B Lunaris with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Llama 3 8B Lunaris
Up to 8K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Llama 3 8B Lunaris on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Llama 3 8B Lunaris responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "l3-lunaris-8b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Llama 3 8B Lunaris
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Frequently Asked Questions
What is Llama 3 8B Lunaris?⌄
Llama 3 8B Lunaris is a versatile generalist and roleplay model based on Llama 3, a merge of several models that balances creativity with logic and general knowledge.
Which inputs does Llama 3 8B Lunaris support?⌄
Llama 3 8B Lunaris accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Llama 3 8B Lunaris?⌄
Up to 8K tokens, shared between your input and the model’s output.
Does Llama 3 8B Lunaris support function calling?⌄
Function calling is not listed for Llama 3 8B Lunaris; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Llama 3 8B Lunaris billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Llama 3 8B Lunaris through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "l3-lunaris-8b", using your ModelFold API key as the Bearer token.
| Input | 8 credits 1M tokens≈ $0.04 |
| Output | 10 credits 1M tokens≈ $0.05 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"l3-lunaris-8b","messages":[{"role":"user","content":"Hello"}]}'