xw1234gan/Main_fixed_MATH_1_5B_BaseAnchor_step_8
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Apr 22, 2026Architecture:Transformer Cold
The xw1234gan/Main_fixed_MATH_1_5B_BaseAnchor_step_8 is a 1.5 billion parameter language model developed by xw1234gan, featuring a 32768-token context length. While specific training details are not provided, its name suggests an optimization for mathematical reasoning tasks. This model is likely intended for applications requiring robust numerical and logical problem-solving capabilities.
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Model Overview
The xw1234gan/Main_fixed_MATH_1_5B_BaseAnchor_step_8 is a 1.5 billion parameter language model with a substantial 32768-token context length. Developed by xw1234gan, the model's naming convention strongly indicates a specialized focus on mathematical tasks and reasoning.
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between computational efficiency and capability.
- Context Length: Features a long context window of 32768 tokens, which is beneficial for processing extensive inputs, particularly in complex problem-solving scenarios.
- Specialization: The model's name,
Main_fixed_MATH_1_5B_BaseAnchor_step_8, suggests it has undergone specific training or fine-tuning to enhance its performance in mathematical reasoning and problem-solving.
Good for
- Mathematical Applications: Ideal for tasks requiring numerical understanding, logical deduction, and solving mathematical problems.
- Long-Context Processing: Suitable for applications where processing and understanding lengthy mathematical proofs, equations, or data sets are crucial.
- Research and Development: Can serve as a base model for further fine-tuning on specific mathematical domains or for exploring advanced reasoning capabilities in smaller-scale LLMs.