Llama-3.3-70B-Instruct

Llama-3.3-70B-Instruct

關於Llama-3.3-70B-Instruct

駝羊 3.3 是駝羊系列中最先進的多語言開源大型語言模型,提供與 405B 模型相當的性能,且成本顯著降低。基於 Transformer 架構,它通過監督微調(SFT)和人類反饋的強化學習(RLHF)提高了實用性和安全性。其指令調整版本針對多語對話進行最佳化,在各種行業基準測試中超越許多開源和封閉的聊天模型。知識截止日期為 2023 年 12 月。

Explore how DeepSeek-V3's advanced reasoning and coding capabilities translate into real-world applications.

Automated Code Generation & Debugging

Generate, optimize, and debug complex code snippets across various programming languages. The model's strong reasoning helps identify logical errors and suggest efficient solutions.

Use Case Example:

"A software engineer used DeepSeek-V3 to refactor a legacy Python module, resulting in a 40% reduction in code complexity and a 25% improvement in execution speed."

Scientific & Mathematical Research

Assist researchers by solving complex mathematical problems, formulating hypotheses, and analyzing data. Its ability to reason through abstract concepts makes it a powerful tool for scientific discovery.

Use Case Example:

"A physicist modeled a complex quantum mechanics problem, and the model provided a step-by-step derivation that led to a novel insight, which was later verified experimentally."

Intelligent Agent & Tool Integration

Build sophisticated AI agents that can understand user requests, select the appropriate tools (e.g., APIs, databases), and execute multi-step tasks autonomously.

Use Case Example:

"An automated travel assistant powered by DeepSeek-V3 booked a complete itinerary by interacting with flight, hotel, and car rental APIs based on a single natural language request from the user."

Advanced Conversational AI

Create highly engaging and context-aware chatbots, virtual assistants, or role-playing characters for gaming and entertainment. The model excels at maintaining coherent and natural-sounding dialogue.

Use Case Example:

"A gaming company implemented an NPC (Non-Player Character) using the model, which provided dynamic, unscripted interactions that significantly enhanced player immersion."

元數據

創建於

2025年4月23日

許可證

LLAMA3.3

供應商

Meta Llama

規格

狀態

Deprecated

架構

經過校準的

專家並行

總參數

70B

啟用的參數

推理

精度

FP8

上下文長度

33K

最大輸出長度

準備好 加速您的人工智能開發了嗎?

準備好 加速您的人工智能開發了嗎?

準備好 加速您的人工智能開發了嗎?

Chinese (Traditional Han, Taiwan)

© 2025 SiliconFlow

Chinese (Traditional Han, Taiwan)

© 2025 SiliconFlow

Chinese (Traditional Han, Taiwan)

© 2025 SiliconFlow