tarunnokwal/VST-LM_Versatile-1.0-merged
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The tarunnokwal/VST-LM_Versatile-1.0-merged is a 1.5 billion parameter language model developed by tarunnokwal, featuring a 32768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for versatile language tasks, leveraging its efficient training methodology.
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Model Overview
The tarunnokwal/VST-LM_Versatile-1.0-merged is a 1.5 billion parameter language model developed by tarunnokwal. It stands out due to its efficient training process, which was achieved 2x faster by utilizing Unsloth in conjunction with Huggingface's TRL library. This model is released under the Apache-2.0 license.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning.
- Versatile Language Tasks: Designed for a broad range of general language understanding and generation applications.
- Context Length: Features a substantial context window of 32768 tokens, allowing for processing longer inputs.
Good For
- Developers seeking a moderately sized language model with a focus on efficient fine-tuning.
- Applications requiring a model capable of handling diverse language tasks with a generous context window.