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--- |
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language: |
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- en |
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tags: |
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- ggml |
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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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- EleutherAI/pile |
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- togethercomputer/RedPajama-Data-1T |
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--- |
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**Last updated:** 2023-06-07 |
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This is [BlinkDL/rwkv-4-pileplus](https://huggingface.co/BlinkDL/rwkv-4-pileplus) converted to GGML for use with rwkv.cpp and KoboldCpp. [rwkv.cpp's conversion instructions](https://github.com/saharNooby/rwkv.cpp#option-32-convert-and-quantize-pytorch-model) were followed. |
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### RAM USAGE (KoboldCpp) |
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Model | RAM usage (with OpenBLAS) |
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:--:|:--: |
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Unloaded | 41.3 MiB |
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169M q4_0 | 232.2 MiB |
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169M q5_0 | 243.3 MiB |
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169M q5_1 | 249.2 MiB |
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430M q4_0 | 413.2 MiB |
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430M q5_0 | 454.4 MiB |
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430M q5_1 | 471.8 MiB |
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1.5B q4_0 | 1.1 GiB |
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1.5B q5_0 | 1.3 GiB |
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1.5B q5_1 | 1.3 GiB |
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3B q4_0 | 2.0 GiB |
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3B q5_0 | 2.3 GiB |
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3B q5_1 | 2.4 GiB |
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Original model card by BlinkDL is below. |
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* * * |
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# RWKV-4 PilePlus |
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## Model Description |
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RWKV-4-pile models finetuning on [RedPajama + some of Pile v2 = 1.7T tokens]. Updated with 2020+2021+2022 data, and better at all European languages. |
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Although some of these are intermedia checkpoints (XXXGtokens means finetuned for XXXG tokens), you can already use them because I am finetuning from Pile models (instead of retraining). |
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Note: not instruct tuned yet, and recommended to replace vanilla Pile models. |
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7B and 14B coming soon. |
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See https://github.com/BlinkDL/RWKV-LM for details. |
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Use https://github.com/BlinkDL/ChatRWKV to run it. |
