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🦅 EagleX v2 : Soaring past LLaMA2 7B in both English and Multi-lang evals (RWKV-v5)
You have seen the teaser with the EagleX 1.7T, now its here - the definitive version of linear transformer trained past, LLaMA 2 7B.
Apr 18
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RWKV
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🦅 EagleX v2 : Soaring past LLaMA2 7B in both English and Multi-lang evals (RWKV-v5)
blog.rwkv.com
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🦅 Eagle & 🐦 Finch - architecture paper is here
Available at your local arxiv
Apr 10
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RWKV
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🦅 Eagle & 🐦 Finch - architecture paper is here
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January 2024
🦅 Eagle 7B : Soaring past Transformers with 1 Trillion Tokens Across 100+ Languages (RWKV-v5)
A brand new era for the RWKV-v5 architecture and linear transformer's has arrived - with the strongest multi-lingual model in open source today
Jan 29
•
Eugene Cheah
29
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🦅 Eagle 7B : Soaring past Transformers with 1 Trillion Tokens Across 100+ Languages (RWKV-v5)
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🌳 The World's Greenest AI Model: RWKV's Pioneering Sustainability
10-100x lower inference cost = lower carbon footprint
Jan 28
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RWKV
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🌳 The World's Greenest AI Model: RWKV's Pioneering Sustainability
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🐣 RWKV v5 1.5B - Achieves SOTA multi-lingual performance
The best AI model in the smol <2B param weight class has arrived
Jan 23
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🐣 RWKV v5 1.5B - Achieves SOTA multi-lingual performance
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🏘️ RWKV joins the Linux Foundation - As the first AI model under the Generative AI Commons
Putting the "Open Source" into "Open AI"
Jan 23
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🏘️ RWKV joins the Linux Foundation - As the first AI model under the Generative AI Commons
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