koohack/Park3-4B-Base
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 27, 2026Architecture:Transformer Featherless Exclusive Cold
koohack/Park3-4B-Base is a 4 billion parameter language model developed by koohack. This base model has a context length of 32768 tokens. Due to the lack of specific details in its model card, its primary differentiators and specific use cases are not explicitly defined, suggesting it serves as a foundational model for further fine-tuning or research.
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Model Overview
koohack/Park3-4B-Base is a 4 billion parameter language model with a substantial context length of 32768 tokens. As a base model, it is designed to be a foundational component for various natural language processing tasks.
Key Characteristics
- Parameter Count: 4 billion parameters, offering a balance between computational efficiency and capability.
- Context Length: Supports a long context window of 32768 tokens, enabling the processing and generation of extensive texts.
- Model Type: A base model, indicating it is suitable for further fine-tuning to adapt to specific downstream applications.
Intended Use
Given the information available, this model is best suited for:
- Research and Development: Exploring foundational language model capabilities.
- Fine-tuning: Adapting the model for specialized tasks such as text generation, summarization, or question answering by training on domain-specific datasets.
- Experimental Applications: Prototyping and testing various NLP solutions where a robust base model with a large context window is beneficial.