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@@ -11,10 +11,10 @@ from the prior stage (the base model can be considered stage 0).
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  The state vector from the base model provides contextual information to the accelerator,
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  while conditioning on prior sampled tokens allows it to produce higher-quality draft n-grams.
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- ## Code
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- - Paged Attention KV-Cache / Speculator Implementations: https://github.com/foundation-model-stack/fms-extras
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- - Production Server with speculative decoding implementation: https://github.com/tdoublep/text-generation-inference/tree/speculative-decoding
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  ## Samples
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  The state vector from the base model provides contextual information to the accelerator,
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  while conditioning on prior sampled tokens allows it to produce higher-quality draft n-grams.
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+ ## Repository Links
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+ 1. [Paged Attention KV-Cache / Speculator Implementations](https://github.com/foundation-model-stack/fms-extras)
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+ 2. [Production Server with speculative decoding implementation](https://github.com/tdoublep/text-generation-inference/tree/speculative-decoding)
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  ## Samples
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