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wikicmbaV1
Viharikvs/wikicmbaV1
wikicmbaV1 is a machine learning model from Viharikvs. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
wikicmbaV1 is an experimental text generation model based on the. It was trained from scratch on the WikiText-103 dataset, a large-scale language modeling benchmark derived from high-quality Wikipedia articles.
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Updated Oct 10, 2025
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At a glance
- Access
- Public
- Created
- Oct 9, 2025
- Updated
- Oct 10, 2025
- SHA
- 81e04fb8
Base models
Model card
From the Hugging Face model README
wikicmbaV1
wikicmbaV1 is an experimental text generation model based on the. It was trained from scratch on the WikiText-103 dataset, a large-scale language modeling benchmark derived from high-quality Wikipedia articles.
The model utilizes the HRM structure, consisting of a "Specialist" module for low-level processing and a "Manager" module for high-level abstraction and planning. This architecture aims to handle long-range dependencies more effectively by summarizing information at different temporal scales.
Model Description
- Architecture: Hierarchical Recurrent Memory (HRM)
- Training Data: WikiText-103
- Original Paper: Hierarchical Reasoning Model
- Tokenizer:
t5-small(slow T5 SentencePiece) - Vocab Size: 32100
- Objective: Causal Language Modeling
Latest Performance (Epoch 45)
- Validation Loss:
3.1813 - Validation Perplexity:
24.07879638671875
- Created
- Oct 9, 2025
- Updated
- Oct 10, 2025