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Favicon for recursal

RWKV v5: Eagle 7B

recursal/eagle-7b

Model weights

Eagle 7B is trained on 1.1 Trillion Tokens across 100+ world languages (70% English, 15% multilang, 15% code).

  • Built on the RWKV-v5 architecture (a linear transformer with 10-100x+ lower inference cost)
  • Ranks as the world's greenest 7B model (per token)
  • Outperforms all 7B class models in multi-lingual benchmarks
  • Approaches Falcon (1.5T), LLaMA2 (2T), Mistral (>2T?) level of performance in English evals
  • Trade blows with MPT-7B (1T) in English evals
  • All while being an "Attention-Free Transformer"Opens in new tab

Eagle 7B models are provided for free, by Recursal.AIOpens in new tab, for the beta period till end of March 2024

Find out more hereOpens in new tab

rnn

Modalities
Context
10K
Released
Jan 29, 2024
Knowledge Cutoff
Jan 2024
ActivityFAQExplore

Activity

Token volume and request traffic to this model over time.

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More models from recursal

RWKV v5 3B AI Town

This is an RWKV 3B model finetuned specifically for the AI Town project.

RWKV is an RNN (recurrent neural network) with transformer-level performance. It aims to combine the best of RNNs and transformers - great performance, fast inference, low VRAM, fast training, "infinite" context length, and free sentence embedding.

RWKV 3B models are provided for free, by Recursal.AI, for the beta period. More details here.

#rnn

Text10K context

Frequently asked questions

Eagle 7B is trained on 1.1 Trillion Tokens across 100+ world languages (70% English, 15% multilang, 15% code). - Built on the RWKV-v5 architecture (a linear transformer with 10-100x+ lower inference cost) - Ranks as the world's greenest 7B model (per token) - Outperforms all 7B class models in multi-lingual benchmarks - Approaches Falcon (1.5T), LLaMA2 (2T), Mistral (>2T?) level of performance...

Eagle 7B has a 10,000 token context window.

Eagle 7B was released on January 29, 2024. Its knowledge cutoff is January 31, 2024.