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![palmer](https://huggingface.co/appvoid/palmer-003-turbo/resolve/main/image.png)
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# palmer
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### a better base model
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palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 600m llama 2 model (4bit quantized) so you can use it with your favorite tools/frameworks.
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### evaluation 🧪
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note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals
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![palmer](https://huggingface.co/appvoid/palmer-003-turbo/resolve/main/image.png)
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# palmer
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### a better base model
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+
palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 600m llama 2 model (since is 4bit quantized) so you can use it with your favorite tools/frameworks.
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### evaluation 🧪
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note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals
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