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Meta

12 個模型

目前繁忙

這些模型的所有供應商都已達到請求上限。限制解除後會自動恢復。

MMeta
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muse-spark-1.3:free

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

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100萬
MMeta
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muse-spark-1.2:free

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window. The model is...

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100萬
MMeta
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llama-4-scout:free

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and...

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13.1萬
MMeta
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llama-3.3-70b:free

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is...

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12.8萬
MMeta
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llama-3.2-1b:free

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows...

12.8萬
MMeta
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llama-3.2-3b:free

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with...

12.8萬
MMeta
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llama-3.1-70b-instruct:free

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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13.1萬
MMeta
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llama-3.1-8b:free

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to leading...

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12.8萬