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@@ -16,7 +16,7 @@ datasets:
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  pipeline_tag: text-generation
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  ---
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- Brought to you via @ContextReq
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  # Notio-3.7M-RNN-v1
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@@ -25,9 +25,7 @@ Notio's core idea: the model learns **only the binary u8 token-id stream** — a
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  "english/symbols" rendering happens at runtime through a decoder that maps special tags
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  (`<spc>`, `<nwl>`, `<bos>`, `<eos>`...) to their effects and drops them from display.
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- > **Status:** v1 training in progress (27,000-step cosine run on a single GTX 1660 SUPER).
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- > Milestone checkpoints uploaded: `notio1ksteps.pt`, `notio5k.pt`, `notio10k.pt`.
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- > Card reflects step ~11,000 and will be updated at completion.
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  ## Design
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  ## Sample output
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- As of; step 18k (no max token, learning to end on <eos>, ended at tokenids total 606 & 608 respectively )
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  Story 1
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  pipeline_tag: text-generation
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  ---
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+ Brought to you via @ContextReq - Built, tested and trained within 24 hours!
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  # Notio-3.7M-RNN-v1
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  "english/symbols" rendering happens at runtime through a decoder that maps special tags
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  (`<spc>`, `<nwl>`, `<bos>`, `<eos>`...) to their effects and drops them from display.
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+ > **Status:** v1 training in progress.
 
 
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  ## Design
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  ## Sample output
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+ As of; step 18k (no max token, learning to end on <eos>, ended at tokenids total 606 & 608 respectively) - Will update when decided run is complete to start on v2.
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  Story 1
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