Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. [Model Card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md)
meta-llama/llama-3.3-70b-instruct
- Context
- 131k tokens
- Completion cap
- 16,384
- Tools
- Yes
- JSON
- Yes
- Released
- 2024-12-06
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-3.3-70b-instruct",
"messages": [{"role": "user", "content": "Hola"}]
}'Frequently asked questions
- What is Llama 3.3 70B Instruct?
- The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. [Model Card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md) Llama 3.3 70B Instruct runs on the Geek Hub API (OpenAI-compatible). Model id: meta-llama/llama-3.3-70b-instruct.
- Is Llama 3.3 70B Instruct free?
- No. Input is $0.109 per 1M tokens and output is $0.3488 per 1M tokens on Geek Hub (markup included).
- What is the context length of Llama 3.3 70B Instruct?
- Llama 3.3 70B Instruct has a 131k tokens context window. It supports up to 16,384 completion tokens.
- Does Llama 3.3 70B Instruct support tool calling and structured outputs?
- Llama 3.3 70B Instruct accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Llama 3.3 70B Instruct released?
- Llama 3.3 70B Instruct was released on 2024-12-06.
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