meta-llama/Llama-2-70b-chat-hf

You can POST to our OpenAI compatible endpoint:

curl "https://api.deepinfra.com/v1/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $(deepctl auth token)" \
  -d '{
      "model": "meta-llama/Llama-2-70b-chat-hf",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    }'

To which you'd get something like:

{
    "id": "chatcmpl-guMTxWgpFf",
    "object": "chat.completion",
    "created": 1694623155,
    "model": "meta-llama/Llama-2-70b-chat-hf",
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": " Hello! It's nice to meet you. Is there something I can help you with or would you like to chat for a bit?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 15,
        "completion_tokens": 16,
        "total_tokens": 31
    }
}

You can also perform a streaming request by passing "stream": true:

curl "https://api.deepinfra.com/v1/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $(deepctl auth token)" \
  -d '{
      "model": "meta-llama/Llama-2-70b-chat-hf",
      "stream": true,
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    }'

to which you'd get a sequence of SSE events, finishing with [DONE].

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {"role": "assistant", "content": " "}, "finish_reason": null}]}

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {"role": "assistant", "content": " Hi"}, "finish_reason": null}]}

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {"role": "assistant", "content": "!"}, "finish_reason": null}]}

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {"role": "assistant", "content": ""}, "finish_reason": null}]}

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {"role": "assistant", "content": "</s>"}, "finish_reason": null}]}

data: {"id": "Rc5hsIPHOSfMP3rNSFUw9tfR", "object": "chat.completion.chunk", "created": 1694623354, "model": "meta-llama/Llama-2-70b-chat-hf", "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]}

data: [DONE]

Currently supported parameters:

• temperature - more or less random generation
• top_p - controls token sampling
• max_tokens - maximum number of generated tokens
• stop - up to 4 strings to terminate generation earlier
• n - number of sequences to generate (up to 2)

Known caveats:

• if the generation is terminated due to a stop sequence, the stop sequence is present in the output (but in OpenAI it is not).