molmo-2-8b:freeMolmo2-8B is an open vision-language model from AI2 that supports image, video, and multi-image understanding. Built on Qwen3-8B with a SigLIP 2 vision backbone, it excels at short-video tasks like counting and captioning while remaining competitive on long-video understanding, outperforming other open-weight, open-data models in its class.
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from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="molmo-2-8b:free", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="molmo-2-8b:free",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
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