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Jetbrains LogoMellum2 12B A2.5B Instruct

A post-trained MoE assistant model (64 experts, 8 active/token), mixing sliding-window/full attention, 131,072-token context.

Model details

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Example usage

Input
1# You can use this model with any of the OpenAI clients in any language!
2# Simply change the API Key to get started
3from openai import OpenAI
4
5model_url = "" # Copy in from API pane in Baseten model dashboard
6
7client = OpenAI(
8    api_key = "BASETEN_API_KEY",
9    base_url = model_url
10)
11
12response = client.chat.completions.create(
13    model = "JetBrains/Mellum2-12B-A2.5B-Instruct",
14    messages = [{"role":"user","content":"Write a Python function to reverse a string."}],
15)
16
17print(response.to_json())
JSON output
1{
2    "choices": [
3        {
4            "finish_reason": "stop",
5            "index": 0,
6            "logprobs": null,
7            "message": {
8                "content": "To reverse a string in Python, we can utilize string slicing with a step of -1. This approach efficiently creates a new string with characters in reverse order.\n\n```python\ndef reverse_string(s):\n    return s[::-1]\n```\n\n**Explanation:**\n- The slice `[::-1]` starts at the end of the string and moves backwards, effectively reversing the string.\n- This method works for any string input, including empty strings and single-character strings.\n- The original string remains unchanged, as strings in Python are immutable.\n\n**Example Usage:**\n```python\nprint(reverse_string(\"hello\"))  # Output: \"olleh\"\nprint(reverse_string(\"Python\")) # Output: \"nohtyP\"\nprint(reverse_string(\"\"))       # Output: \"\"\n```",
9                "refusal": null,
10                "role": "assistant",
11                "annotations": null,
12                "audio": null,
13                "function_call": null,
14                "tool_calls": [],
15                "reasoning": null
16            },
17            "stop_reason": null,
18            "token_ids": null,
19            "routed_experts": null
20        }
21    ],
22    "created": 0,
23    "model": "JetBrains/Mellum2-12B-A2.5B-Instruct",
24    "object": "chat.completion",
25    "usage": {
26        "completion_tokens": 179,
27        "prompt_tokens": 19,
28        "total_tokens": 198,
29        "prompt_tokens_details": null
30    },
31    "prompt_logprobs": null,
32    "prompt_token_ids": null,
33    "prompt_text": null,
34    "kv_transfer_params": null
35}

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