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--- |
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language: |
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- en |
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tags: |
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- pytorch |
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- text-generation |
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- causal-lm |
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- rwkv |
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license: apache-2.0 |
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datasets: |
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- the_pile |
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--- |
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# RWKV-4 14B |
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[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.] |
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## Model Description |
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RWKV-4 14B is a L40-D5120 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. |
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args.n_layer = 40 |
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args.n_embd = 5120 |
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Use https://github.com/BlinkDL/ChatRWKV to run it. |
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RWKV-4-Pile-14B-2023xxxx-ctx8192-testxxx.pth : Fine-tuned to ctx_len 8192. |
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* The best general model. |
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################################ |
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"Raven": RWKV alpaca+vicuna-style model: https://huggingface.co/BlinkDL/rwkv-4-raven (highly recommended) |
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It is a strong chat model too. You can use +i for "Alpaca Instruct" in latest ChatRWKV v2. Examples: |
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``` |
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+i Explain the following metaphor: "Life is like cats". |
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+i write a python function to read data from an excel file. |
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``` |
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################################ |
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RWKV-4-Pile-14B-20230213-8019.pth : Trained on the Pile for 331B tokens |
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* Pile loss 1.7579 (ctx_len 1024) |
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* LAMBADA ppl 3.81, acc 71.05% |
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* PIQA acc 77.42% |
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* SC2016 acc 75.57% |
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* Hellaswag acc_norm 70.24% |
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* WinoGrande acc 62.98% |
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