---
title: Marin 8B Instruct — Open-Source LLM | ModelsLab
description: Deploy Marin 8B Instruct API for code generation, summarization, and dialogue. Open-source 8B model with 128K context. Try it free.
url: https://modelslab.com/marin-8b-instruct
canonical: https://modelslab.com/marin-8b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:01:31.209195Z
---

Available now on ModelsLab · Language Model

Marin 8B Instruct
Open-source instruction-following LLM
---

[Try Marin 8B Instruct](/models/marin/marin-community-marin-8b-instruct) [API Documentation](https://docs.modelslab.com)

Transparent. Efficient. Production-ready.
---

Instruction-tuned

### Question Answering and Code Generation

Handles factual queries, summarization, and multi-language code synthesis with proper syntax.

Efficient Architecture

### 8B Parameters, 128K Context

Llama-based transformer balances computational efficiency with strong performance across tasks.

Full Transparency

### Open Training Data and Code

All experiments, datasets, and documentation publicly available for reproducibility and customization.

Examples

See what Marin 8B Instruct can create
---

Copy any prompt below and try it yourself in the [playground](/models/marin/marin-community-marin-8b-instruct).

API Documentation

“Write comprehensive API documentation for a REST endpoint that accepts JSON payloads and returns structured responses. Include request/response examples, error handling, and authentication details.”

Data Analysis

“Summarize quarterly sales trends from a dataset showing revenue by region, product category, and customer segment. Highlight key insights and growth opportunities.”

Content Creation

“Generate a technical blog post explaining how transformer architectures work, including attention mechanisms, embeddings, and practical applications in modern AI.”

Code Refactoring

“Refactor this Python function to improve readability and performance. Add type hints, docstrings, and optimize for O(n) time complexity.”

For Developers

A few lines of code.
Instruction-following. Three lines.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Marin 8B Instruct
---

[Read the docs ](https://docs.modelslab.com)

### What is Marin 8B Instruct and how does it differ from other 8B models?

### What tasks is the Marin 8B Instruct model designed for?

### How does Marin 8B Instruct API pricing compare to alternatives?

### What is the context window and knowledge cutoff for this model?

### Can I use Marin 8B Instruct for production applications?

### Is Marin 8B Instruct open-source and can I fine-tune it?

Ready to create?
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Start generating with Marin 8B Instruct on ModelsLab.

[Try Marin 8B Instruct](/models/marin/marin-community-marin-8b-instruct) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*