{"slug": "baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model", "title": "Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model", "summary": "Baidu released ERNIE-5.5-Flash-Base, an open foundation model with 280 billion total parameters and 14 billion active per input, on Hugging Face in FP8 and BF16, deliberately shipped without fine-tuning or post-training. The mixture-of-experts model was pre-trained on 33.5 trillion tokens with a 128,000-token training context and is designed to support up to one million tokens during fine-tuning and inference. Baidu says the model competes with similarly sized open foundation models such as DeepSeek V4 Flash and MiMo V2.5 on reasoning, code and long-context benchmarks, and a post-trained version is expected to follow.", "body_md": "# Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model\n\n**Baidu's AI development is still alive, but most of the work is on you.** The Chinese company has released [ERNIE-5.5-Flash-Base](https://huggingface.co/baidu/ERNIE-5.5-Flash-Base), an open foundation model that ships deliberately without fine-tuning or post-training. Developers are expected to decide for themselves where to take the model. A post-trained version is supposed to follow.\n\nERNIE 5.5 uses a mixture-of-experts architecture with 280 billion parameters, 14 billion of which are active per input. The model was pre-trained on 33.5 trillion tokens with a training context of up to 128,000 tokens, though it's designed to support a context of up to one million tokens during fine-tuning and inference.\n\nIn benchmarks for reasoning, code, and long-context tasks, the model competes with similarly sized open foundation models like DeepSeek V4 Flash or MiMo V2.5, according to Baidu. The weights are available on [Hugging Face](https://huggingface.co/baidu/ERNIE-5.5-Flash-Base) in FP8 and BF16.\n\n```\nAI News Without the Hype – Curated by Humans\n\n\t\t\t\t\tSubscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive \"AI Radar\" frontier report six times a year, full archive access, and access to our comment section.\t\t\t\t\n\n\t\t\t\t\tSubscribe now\n```\n\n[Baidu](https://ernie.baidu.com/release/ernie-5-5-flash-base/)", "url": "https://wpnews.pro/news/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model", "canonical_source": "https://the-decoder.com/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-source-foundation-model/", "published_at": "2026-11-05 17:56:41+00:00", "updated_at": "2026-11-05 18:22:52.895889+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-products"], "entities": ["Baidu", "ERNIE-5.5-Flash-Base", "Hugging Face", "DeepSeek V4 Flash", "MiMo V2.5"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model", "markdown": "https://wpnews.pro/news/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model.md", "text": "https://wpnews.pro/news/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model.txt", "jsonld": "https://wpnews.pro/news/baidu-releases-ernie-5-5-flash-base-with-280-billion-parameters-as-an-open-model.jsonld"}}