Llama3.3 70B
Llama3.3 70B is an open-weight Llama-class model commonly used for chat, fine-tuning, and on-prem or hosted inference. Llama3.3 70B is an open-weight Llama-class model commonly used for chat, fine-tuning, and on-prem or hosted inference. Supports tool use and implicit caching. Up to 131K context window.
- Tool Use
- Implicit Caching
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="makora/meta-llama/Llama-3.3-70B-Instruct", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["meta-llama/Llama-3.3-70B-Instruct"], },)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="makora/meta-llama/Llama-3.3-70B-Instruct", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["meta-llama/Llama-3.3-70B-Instruct"], },)print(response.choices[0].message.content)Providers
Gateway routes for this model on the Respan gateway, including fallback routes when configured.
Similar
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