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flan-alpaca-large

Text2Text Generation
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PyTorch
Safetensors
t5
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@@ -10,12 +10,14 @@ Our [repository](https://github.com/declare-lab/flan-alpaca) contains code for e
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  synthetic instruction tuning to existing instruction-tuned models such as [Flan-T5](https://arxiv.org/abs/2210.11416).
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  The pretrained models and demos are available on HuggingFace 🤗 :
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- | Model | Parameters | Training GPUs |
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- |---------------------------------------------------------------------------|------------|-----------------|
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- | [Flan-Alpaca-Base](https://huggingface.co/declare-lab/flan-alpaca-base) | 220M | 1x A6000 |
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- | [Flan-Alpaca-Large](https://huggingface.co/declare-lab/flan-alpaca-large) | 770M | 1x A6000 |
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- | [Flan-Alpaca-XL](https://huggingface.co/declare-lab/flan-alpaca-xl) | 3B | 1x A6000 |
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- | [Flan-Alpaca-XXL](https://huggingface.co/declare-lab/flan-alpaca-xxl) | 11B | 4x A6000 (FSDP) |
 
 
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  ### Why?
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  synthetic instruction tuning to existing instruction-tuned models such as [Flan-T5](https://arxiv.org/abs/2210.11416).
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  The pretrained models and demos are available on HuggingFace 🤗 :
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+ | Model | Parameters | Instruction Data | Training GPUs |
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+ |---------------------------------------------------------------------------|------------|----------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|
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+ | [Flan-Alpaca-Base](https://huggingface.co/declare-lab/flan-alpaca-base) | 220M | [Flan](https://github.com/google-research/FLAN), [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) | 1x A6000 |
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+ | [Flan-Alpaca-Large](https://huggingface.co/declare-lab/flan-alpaca-large) | 770M | [Flan](https://github.com/google-research/FLAN), [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) | 1x A6000 |
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+ | [Flan-Alpaca-XL](https://huggingface.co/declare-lab/flan-alpaca-xl) | 3B | [Flan](https://github.com/google-research/FLAN), [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) | 1x A6000 |
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+ | [Flan-Alpaca-XXL](https://huggingface.co/declare-lab/flan-alpaca-xxl) | 11B | [Flan](https://github.com/google-research/FLAN), [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) | 4x A6000 (FSDP) |
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+ | [Flan-GPT4All-XL](https://huggingface.co/declare-lab/flan-gpt4all-xl) | 3B | [Flan](https://github.com/google-research/FLAN), [GPT4All](https://github.com/nomic-ai/gpt4all) | 1x A6000 |
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+ | [Flan-ShareGPT-XL](https://huggingface.co/declare-lab/flan-sharegpt-xl) | 3B | [Flan](https://github.com/google-research/FLAN), [ShareGPT](https://github.com/domeccleston/sharegpt)/[Vicuna](https://github.com/lm-sys/FastChat) | 1x A6000 |
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  ### Why?
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