[R] RWKV-3: Scaling RNN to 1.5B and Reach Transformer LM Performance (without using attention)

• RWKV-LM

  84 11,657 8.8 Python

  RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

And RWKV-3 is better. You are welcome to join the project (https://github.com/BlinkDL/RWKV-LM) to build upon it (I am an independent researcher).

• RWKV-v2-RNN-Pile

  6 65 0.0 Python

  RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.

See https://github.com/BlinkDL/RWKV-v2-RNN-Pile for the ppl vs ctxlen curve :)

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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