menik1126/OVD-Math-1-data-HES-Step500-Historical
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 20, 2026Architecture:Transformer Featherless Exclusive Cold
The menik1126/OVD-Math-1-data-HES-Step500-Historical model is a 1.5 billion parameter language model with a 32768 token context length, developed by menik1126. This model represents the historical 1-data experiment within the OVD collection, providing inference weights and a tokenizer. It is specifically designed for tasks related to its experimental origin, focusing on historical data processing.
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Model Overview
This model, menik1126/OVD-Math-1-data-HES-Step500-Historical, is a 1.5 billion parameter language model with a substantial context length of 32768 tokens. It was developed by menik1126 as part of the broader OVD collection.
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Features a 32768 token context window, enabling the processing of long sequences of text.
- Experimental Origin: Represents the historical 1-data experiment, providing insights into specific data processing methodologies.
- Components: Includes both inference weights and a tokenizer, ready for deployment in relevant applications.
Intended Use Cases
This model is particularly suited for:
- Historical Data Analysis: Leveraging its origin from the "1-data hes, step 500" experiment, it can be used for tasks involving historical datasets.
- Research and Development: Ideal for researchers exploring the OVD collection's experimental models and their performance characteristics.
- Specific Data Processing: Applicable to use cases that align with the model's training on a particular "1-data" configuration.