izrai4/SandTube_Chat
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:Oct 15, 2026Architecture:Transformer Featherless Exclusive Cold
izrai4/SandTube_Chat is a 1.1 billion parameter language model developed by izrai4. This model has a context length of 2048 tokens. Due to the lack of specific details in its model card, its primary differentiators and intended use cases are not explicitly defined, suggesting it may be a foundational or general-purpose model awaiting further fine-tuning or documentation.
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Overview
izrai4/SandTube_Chat is a 1.1 billion parameter language model with a context length of 2048 tokens. The model card indicates that it is a Hugging Face transformers model, but specific details regarding its development, funding, model type, language(s), license, or finetuning source are currently marked as "More Information Needed".
Key Capabilities
- General-purpose language understanding: As a foundational model, it likely possesses general text processing capabilities.
- Standard context window: Supports a 2048-token context length, suitable for various short to medium-length text tasks.
Good for
- Exploration and experimentation: Useful for researchers or developers looking to experiment with a smaller-scale language model.
- Further fine-tuning: Can serve as a base model for domain-specific fine-tuning, given its relatively compact size.
- Educational purposes: Suitable for understanding transformer architectures and basic LLM deployment due to its manageable parameter count.