rijal028/finetuninggg
TEXT GENERATIONConcurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 15, 2026Architecture:Transformer Featherless Exclusive Cold
The rijal028/finetuninggg is a 2 billion parameter language model with a 32768 token context length. This model was directly uploaded from a Kaggle Notebook, indicating its origin from a specific development environment. Its primary characteristic is its direct upload from a Kaggle Notebook, suggesting it may be a result of a fine-tuning experiment or a specific project within that platform.
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Model Overview
The rijal028/finetuninggg is a 2 billion parameter language model with a substantial context length of 32768 tokens. Its notable characteristic is its direct upload from a Kaggle Notebook, which implies it originated from a specific development or fine-tuning process conducted within the Kaggle environment.
Key Characteristics
- Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: A generous 32768 tokens, allowing for processing and generating longer sequences of text.
- Origin: Directly uploaded from a Kaggle Notebook, suggesting it might be a specialized model resulting from a particular project or experiment.
Good For
- Kaggle-centric Workflows: Potentially useful for developers and researchers who are accustomed to or working within the Kaggle ecosystem, as its origin suggests a direct integration or purpose within that platform.
- Exploratory Fine-tuning: Given its origin, it could be a base or an intermediate model from a fine-tuning exercise, making it suitable for further experimentation or as a starting point for similar tasks.