Text Generation
Transformers
PyTorch
English
gptj
mike-conover-db commited on
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Updating Model Card

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  1. README.md +1 -2
README.md CHANGED
@@ -37,8 +37,7 @@ GPT-J was trained on [The Pile](https://huggingface.co/datasets/the_pile), a 400
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  **`dolly-v1-6b` is not a state-of-the-art generative language model** and, though quantitative benchmarking is ongoing, is not designed to perform
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  competitively with more modern model architectures or models subject to larger pretraining corpuses. **It is designed for academic or research purposes, and to encourage model and engineering experimentation.**
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- The Dolly model family is under active development, and so any list of shortcomings is unlikely to be exhaustive, but we include known limitations and misfires here as a means to document and share our preliminary findings with the community.
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- In particular, `dolly-v1-6b` struggles with: syntactically complex prompts, programming problems, mathematical operations, factual errors,
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  dates and times, open-ended question answering, hallucination, enumerating lists of specific length, stylistic mimicry, having a sense of humor, etc.
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  ## Training Data, Bias & Objectionable Content
 
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  **`dolly-v1-6b` is not a state-of-the-art generative language model** and, though quantitative benchmarking is ongoing, is not designed to perform
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  competitively with more modern model architectures or models subject to larger pretraining corpuses. **It is designed for academic or research purposes, and to encourage model and engineering experimentation.**
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+ The Dolly model family is under active development, and so any list of shortcomings is unlikely to be exhaustive, but we include known limitations and misfires here as a means to document and share our preliminary findings with the community. In particular, `dolly-v1-6b` struggles with: syntactically complex prompts, programming problems, mathematical operations, factual errors,
 
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  dates and times, open-ended question answering, hallucination, enumerating lists of specific length, stylistic mimicry, having a sense of humor, etc.
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  ## Training Data, Bias & Objectionable Content