RWKV-4 14B
[UPDATE: Try RWKV-4-World (https://huggingface.co/BlinkDL/rwkv-4-world) for generation & chat & code in 100+ world languages, with great English zero-shot & in-context learning ability too.]
Model Description
RWKV-4 14B is a L40-D5120 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
args.n_layer = 40 args.n_embd = 5120
Use https://github.com/BlinkDL/ChatRWKV to run it.
RWKV-4-Pile-14B-2023xxxx-ctx8192-testxxx.pth : Fine-tuned to ctx_len 8192.
- The best general model.
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"Raven": RWKV alpaca+vicuna-style model: https://huggingface.co/BlinkDL/rwkv-4-raven (highly recommended)
It is a strong chat model too. You can use +i for "Alpaca Instruct" in latest ChatRWKV v2. Examples:
+i Explain the following metaphor: "Life is like cats".
+i write a python function to read data from an excel file.
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RWKV-4-Pile-14B-20230213-8019.pth : Trained on the Pile for 331B tokens
- Pile loss 1.7579 (ctx_len 1024)
- LAMBADA ppl 3.81, acc 71.05%
- PIQA acc 77.42%
- SC2016 acc 75.57%
- Hellaswag acc_norm 70.24%
- WinoGrande acc 62.98%