XinnanZhang/Webshop-1.5b-2epoch
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Mar 22, 2026Architecture:Transformer Warm
XinnanZhang/Webshop-1.5b-2epoch is a 1.5 billion parameter language model with a 32768 token context length. This model is a fine-tuned version of an unspecified base model, developed by XinnanZhang. Due to limited information in its model card, its specific primary differentiators and main use cases are not explicitly detailed.
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Model Overview
XinnanZhang/Webshop-1.5b-2epoch is a 1.5 billion parameter language model with a substantial context length of 32768 tokens. Developed by XinnanZhang, this model is a fine-tuned version of an undisclosed base model. The provided model card indicates that further information regarding its specific architecture, training data, and intended applications is currently unavailable.
Key Capabilities
- Parameter Count: Features 1.5 billion parameters, suggesting a compact yet capable model size.
- Context Length: Supports a long context window of 32768 tokens, which can be beneficial for tasks requiring extensive memory or processing of long documents.
Good For
- Exploration: Suitable for developers interested in experimenting with a 1.5 billion parameter model with a large context window, particularly if they have specific fine-tuning tasks in mind.
- Further Research: Could serve as a base for researchers looking to investigate the performance of models with these specifications, provided they are prepared to fill in the gaps regarding its original training and purpose.