llama-3.1-8b-instant
Llama 3.1 8B on Groq provides low-latency, high-quality responses suitable for real-time conversational interfaces, content filtering systems, and data analysis applications. This model offers a balance of speed and performance with significant cost savings compared to larger models. Technical capabilities include native function calling support, JSON mode for structured output generation, and a 128K token context window for handling large documents.
Experience the capabilities of llama-3.1-8b-instant
with Groq speed:
pip install groq
from groq import Groq
client = Groq()
completion = client.chat.completions.create(
model="llama-3.1-8b-instant",
messages=[
{
"role": "user",
"content": "Explain why fast inference is critical for reasoning models"
}
]
)
print(completion.choices[0].message.content)