Set Ripple preview tokenizer context to 1Mi tokens

#7
Files changed (2) hide show
  1. README.md +1 -1
  2. tokenizer_config.json +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ license: apache-2.0
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  License: <a href="https://huggingface.co/ricursiveAI/Ripple-65B-Preview/blob/main/LICENSE">Apache 2.0</a>
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  </p>
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- Ricursive Intelligence introduces **Ripple-65B Preview**, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length.
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  Ripple-65B Preview delivers strong results on agentic coding, scoring **80.52 on TerminalBench 2.1** and
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  surpassing significantly-larger US open-weight models such as Reflection Beam 501B (**80.1**), Meta Muse Spark Open 816B (**76.4**),
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  Thinking Machines Inkling 975B (**63.8**), and NVIDIA Nemotron 3 Ultra 550B (**56.4**).
 
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  License: <a href="https://huggingface.co/ricursiveAI/Ripple-65B-Preview/blob/main/LICENSE">Apache 2.0</a>
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  </p>
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+ Ricursive Intelligence introduces **Ripple-65B Preview**, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1Mi (1,048,576 tokens) of context.
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  Ripple-65B Preview delivers strong results on agentic coding, scoring **80.52 on TerminalBench 2.1** and
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  surpassing significantly-larger US open-weight models such as Reflection Beam 501B (**80.1**), Meta Muse Spark Open 816B (**76.4**),
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  Thinking Machines Inkling 975B (**63.8**), and NVIDIA Nemotron 3 Ultra 550B (**56.4**).
tokenizer_config.json CHANGED
@@ -183,7 +183,7 @@
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  "clean_up_tokenization_spaces": false,
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  "eos_token": "<|im_end|>",
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  "extra_special_tokens": {},
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- "model_max_length": 131072,
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  "pad_token": "<|pad|>",
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  "tokenizer_class": "PreTrainedTokenizerFast",
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  "unk_token": "<|endoftext|>"
 
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  "clean_up_tokenization_spaces": false,
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  "eos_token": "<|im_end|>",
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  "extra_special_tokens": {},
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+ "model_max_length": 1048576,
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  "pad_token": "<|pad|>",
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  "tokenizer_class": "PreTrainedTokenizerFast",
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  "unk_token": "<|endoftext|>"