Wan2.1-T2V-14B

Wan2.1-T2V-14B

Tentang Wan2.1-T2V-14B

Wan2.1-T2V-14B adalah model generasi teks-ke-Video canggih sumber terbuka. Model 14B ini telah menetapkan tolok ukur kinerja mutakhir di antara model sumber terbuka dan sumber tertutup, mampu menghasilkan konten visual berkualitas tinggi dengan efek dinamis yang signifikan. Ini adalah satu-satunya model Video yang dapat menghasilkan Text secara bersamaan dalam bahasa Cina dan Inggris, serta mendukung generasi Video pada resolusi 480P dan 720P. Model ini mengadopsi arsitektur transformer difusi dan meningkatkan kemampuan generatifnya melalui pengkode variabel spasiotemporal (VAE) yang inovatif, strategi pelatihan yang dapat diskalakan, dan konstruksi data berskala besar.

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."

Metadata

Buat di

22 Feb 2025

Lisensi

APACHE-2.0

Penyedia

Qwen

HuggingFace

Spesifikasi

Negara

Deprecated

Arsitektur

Terkalibrasi

Tidak

Campuran Ahli

Tidak

Total Parameter

14B

Parameter yang Diaktifkan

Penalaran

Tidak

Precision

FP8

Text panjang konteks

0K

Max Tokens

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Indonesian (Indonesia)

© 2025 SiliconFlow

Indonesian (Indonesia)

© 2025 SiliconFlow

Indonesian (Indonesia)

© 2025 SiliconFlow