menik1126/OVD-Math-1-data-RS-Step800-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-RS-Step800-Historical model is a 1.5 billion parameter language model with a 32768 token context length, part of the OVD collection. This model represents the historical 1-data experiment, focusing on specific mathematical or data-driven tasks. It provides inference weights and a tokenizer, making it suitable for research and development in specialized data environments.
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OVD-Math-1-data-RS-Step800-Historical Overview
This model, menik1126/OVD-Math-1-data-RS-Step800-Historical, is a 1.5 billion parameter language model with a substantial 32768 token context length. It is specifically identified as part of the OVD collection and represents a historical iteration from a "1-data random, step 800" experiment.
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 processing of extensive inputs.
- Experimental Origin: Derived from a specific historical experiment focusing on "1-data random, step 800," suggesting a specialized training methodology or dataset.
- Components: Provides both inference weights and a tokenizer, ready for deployment in relevant applications.
Good For
- Historical Experiment Replication: Ideal for researchers looking to replicate or analyze the results of the original "1-data random, step 800" experiment.
- Specialized Data Tasks: Suitable for tasks that align with the model's experimental training focus, likely involving specific mathematical or data-centric problems.
- Comparative Analysis: Can be used as a baseline or comparison point against newer models or different experimental setups within the OVD collection.