menik1126/OVD-Math-1-data-FR-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-FR-Step500-Historical model is a 1.5 billion parameter language model with a 32768 token context length. It represents the historical 1-data experiment within the OVD collection, focusing on specific data configurations. This model is designed for tasks related to its experimental mathematical data training, offering insights into its performance under these conditions.
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OVD-Math-1-data-FR-Step500-Historical Overview
This model, developed by menik1126, is a 1.5 billion parameter language model with a substantial context window of 32768 tokens. It is specifically identified as the historical 1-data experiment within the broader OVD collection.
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between computational efficiency and capability.
- Context Length: Supports a long context window of 32768 tokens, enabling processing of extensive inputs.
- Experimental Focus: Represents a specific historical iteration of the "1-data" experiment, likely involving a particular dataset or training methodology.
- Part of OVD Collection: Integrates into the OVD collection, suggesting a specialized role within a larger research or development effort.
Use Cases
This model is particularly suited for:
- Research and Analysis: Ideal for researchers studying the impact of specific data configurations (like "1-data") on model performance.
- Historical Performance Evaluation: Useful for comparing current model iterations against this historical baseline.
- Specialized Mathematical Tasks: Given its likely origin in mathematical data experiments, it may perform well on tasks aligned with its training data.