--- title: Llama 4 Scout 17B 16E Instruct Fp8 Lora | Text Generation | ModelsLab description: Build with Llama 4 Scout 17B 16E Instruct Fp8 Lora API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout-17b-16e-instruct-fp8-lora.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout-17b-16e-instruct-fp8-lora.md type: product component: Playground/LLM/Index generated_at: 2026-05-21T09:25:29.952586Z --- Llama 4 Scout 17B 16E Instruct Fp8 Lora --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora.md) meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora meta-llama Closed Source Model Llama 4 Scout 17B 16E Instruct Fp8 Lora --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Llama 4 Scout 17B 16E Instruct Fp8 Lora meta-llama meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. 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Access Llama 4 Scout 17B 16E Instruct Fp8 Lora through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDmeta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-LoraCategoryLLM ModelsTaskText GenerationAddedMay 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Llama 4 Scout 17B 16E Instruct Fp8 Lora into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Meta Llama](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Llama 4 Scout 17B 16E Instruct Fp8 Lora FAQ --- ### What is Llama 4 Scout 17B 16E Instruct Fp8 Lora? Llama 4 Scout 17B 16E Instruct Fp8 Lora is a text generation AI model by Meta Llama available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Llama 4 Scout 17B 16E Instruct Fp8 Lora API? You can integrate Llama 4 Scout 17B 16E Instruct Fp8 Lora into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the Llama 4 Scout 17B 16E Instruct Fp8 Lora model ID? The model ID for Llama 4 Scout 17B 16E Instruct Fp8 Lora is "meta-llama-Llama-4-Scout-17B-16E-Instruct-FP8-Lora". Use this ID in your API requests to specify this model. ### Does Llama 4 Scout 17B 16E Instruct Fp8 Lora have a free tier? Yes, ModelsLab offers a free tier that lets you try Llama 4 Scout 17B 16E Instruct Fp8 Lora and other AI models. Sign up to get free API credits and start building immediately. --- *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) --- *Generated by ModelsLab - 2026-05-21*