ThomasTheMaker/k-27b
VISIONPricing:Input $0.4 / Cached $0.08 / Output $1.2Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kPublished:Oct 4, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ThomasTheMaker/k-27b is a 27 billion parameter instruction-tuned language model developed by ThomasTheMaker, finetuned from unsloth/gemma-3-27b-it. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during the finetuning process. With a context length of 32768 tokens, it is optimized for efficient deployment and performance in applications requiring a large context window.
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Overview
ThomasTheMaker/k-27b is a 27 billion parameter instruction-tuned language model, developed by ThomasTheMaker. It is finetuned from the unsloth/gemma-3-27b-it base model, leveraging the Unsloth library for accelerated training.
Key Capabilities
- Efficient Finetuning: This model was finetuned with a 2x speed improvement using Unsloth and Huggingface's TRL library, making it a strong candidate for applications where rapid iteration and deployment are crucial.
- Large Parameter Count: With 27 billion parameters, it offers robust language understanding and generation capabilities.
- Extended Context Window: Supports a context length of 32768 tokens, suitable for processing longer inputs and maintaining conversational coherence over extended interactions.
Good for
- Applications requiring a powerful instruction-tuned model with a substantial parameter count.
- Use cases benefiting from a large context window for complex tasks or detailed conversations.
- Developers looking for models that have undergone efficient finetuning processes, potentially leading to optimized performance.