Meta Llama 4 Scout Instruct
Meta Llama 4 Scout Instruct is a cutting-edge large language model with strong multimodal understanding. See what makes this AI model special!
🚀Function Overview
A multimodal-capable language model using mixture-of-experts architecture for text generation and instruction-based tasks.
Key Features
- 17 billion parameters with 16 expert modules
- Configurable text generation controls (temperature, top_p, etc.)
- Token-by-token streaming output
- Multimodal text and image understanding
Use Cases
- •Instruction-based conversational AI
- •Text generation and continuation
- •Multimodal content understanding
⚙️Input Parameters
prompt
stringPrompt
max_tokens
integerThe maximum number of tokens the model should generate as output
temperature
numberThe value used to modulate the next token probabilities
presence_penalty
numberPresence penalty
frequency_penalty
numberFrequency penalty
top_p
numberTop-p (nucleus) sampling
💡Usage Examples
Example 1
Input Parameters
{
"top_p": 1,
"prompt": "Hello, Llama!",
"max_tokens": 1024,
"temperature": 0.6,
"presence_penalty": 0,
"frequency_penalty": 0
}Output Results
Quick Actions
Technical Specifications
- Hardware Type
- Run Count
- 171.7k
- Commercial Use
- Supported
- Pricing
- Priced by multiple properties
- Platform
- Replicate
Related Keywords
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