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Fixie LogoUltravox v0.6 70B

Ultravox is a multimodal model that can consume both speech and text as input, generating output text as usual. This uses Llama 3.3 70B Instruct as its backbone.

Model details

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Example usage

Since this is a multimodal model, it accepts text and/or audio. The audio is downloaded from a public source.

The output JSON object contains a key called content which represents the usual output text.

Input
1from openai import OpenAI
2
3model_id = "jwdp26kw" # Replace with your model ID from Baseten's model dashboard
4
5client = OpenAI(
6    api_key="YOUR-API-KEY",
7    base_url=f"https://model-{model_id}.api.baseten.co/environments/production/sync/v1"
8)
9
10response = client.chat.completions.create(
11    model="",
12    messages=[
13        {
14            "role": "user",
15            "content": [
16                {
17                    "type": "text",
18                    "text": "What is Lydia like?"
19                },
20                {
21                    "type": "audio_url",
22                    "audio_url": {"url": "https://baseten-public.s3.us-west-2.amazonaws.com/fred-audio-tests/real.mp3"}
23                }
24            ]
25        }
26    ]
27)
28
29print(response)
JSON output
1{
2    "id": "143",
3    "choices": [
4        {
5            "finish_reason": "stop",
6            "index": 0,
7            "logprobs": null,
8            "message": {
9                "content": "[Model output here]",
10                "role": "assistant",
11                "audio": null,
12                "function_call": null,
13                "tool_calls": null
14            }
15        }
16    ],
17    "created": 1741224586,
18    "model": "",
19    "object": "chat.completion",
20    "service_tier": null,
21    "system_fingerprint": null,
22    "usage": {
23        "completion_tokens": 145,
24        "prompt_tokens": 38,
25        "total_tokens": 183,
26        "completion_tokens_details": null,
27        "prompt_tokens_details": null
28    }
29}

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