Vedika Gen 2.0 Code Preveiw
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A live coding playground and preview for Vedika Gen 2.0
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🚀 Vedika: The Next Generation of Long-Context Open Models
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Agent Security Checks You Didn't Know You Needed: MCP Server Risk & Prompt-Injection Breach Detection
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⚡ Experience the Speed: Vedika 4.1 Flash is Here!
We are pushing the limits of AI inference with our newest model: Vedika 4.1 Flash. Engineered for ultra-low latency without compromising on advanced reasoning, it is the perfect solution for real-time applications and complex, long-horizon coding tasks.
✨ Why Vedika 4.1 Flash?
Blazing Fast Inference: Instant responses for real-time AI agents.
Massive Context: Process up to 1M tokens effortlessly.
Open for Developers: 100% free API access for the community.
You can test the raw speed of Vedika 4.1 Flash right now using our live API endpoint!
📺 Don't miss any updates!
Subscribe to our official YouTube channel for upcoming tutorials, model drops, and deep dives into how to build with Vedika AI:
👉 https://youtube.com/@vedika-advanced-ai?si=1D-HZ26p_MHzUUsh
✨ A Product of Veda Labs
We are pushing the limits of AI inference with our newest model: Vedika 4.1 Flash. Engineered for ultra-low latency without compromising on advanced reasoning, it is the perfect solution for real-time applications and complex, long-horizon coding tasks.
✨ Why Vedika 4.1 Flash?
Blazing Fast Inference: Instant responses for real-time AI agents.
Massive Context: Process up to 1M tokens effortlessly.
Open for Developers: 100% free API access for the community.
You can test the raw speed of Vedika 4.1 Flash right now using our live API endpoint!
📺 Don't miss any updates!
Subscribe to our official YouTube channel for upcoming tutorials, model drops, and deep dives into how to build with Vedika AI:
👉 https://youtube.com/@vedika-advanced-ai?si=1D-HZ26p_MHzUUsh
✨ A Product of Veda Labs
published an article 11 days ago
Article
🚀 Vedika: The Next Generation of Long-Context Open Models
Veda-Labs
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DeepSeek-V4 can now run locally with Unsloth GGUFs! 🐳
Run lossless DeepSeek-V4-Flash on 168GB RAM or
3-bit works on 110GB Mac, RAM, VRAM setups.
Run via Unsloth Studio or llama.cpp.
GGUF: unsloth/DeepSeek-V4-Flash-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4
Run lossless DeepSeek-V4-Flash on 168GB RAM or
3-bit works on 110GB Mac, RAM, VRAM setups.
Run via Unsloth Studio or llama.cpp.
GGUF: unsloth/DeepSeek-V4-Flash-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4