lokeshe09/gemma-4-26B-A4B-it-SFT_OCRR
VISIONConcurrent Unit Cost:2Model Size:26BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 11, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The lokeshe09/gemma-4-26B-A4B-it-SFT_OCRR model is a 26 billion parameter Gemma-4 variant, fine-tuned by lokeshe09. This instruction-tuned model was developed using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general-purpose conversational AI tasks, leveraging its large parameter count for robust language understanding and generation.
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Model Overview
This model, lokeshe09/gemma-4-26B-A4B-it-SFT_OCRR, is a 26 billion parameter instruction-tuned variant of the Gemma-4 architecture. It was developed by lokeshe09 and fine-tuned from the unsloth/gemma-4-26B-A4B-it base model.
Key Characteristics
- Architecture: Based on the Gemma-4 family, a powerful open-source large language model.
- Parameter Count: Features 26 billion parameters, providing significant capacity for complex language tasks.
- Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed compared to conventional methods.
- Instruction-Tuned: The model is instruction-tuned, making it suitable for following user prompts and engaging in conversational interactions.
Potential Use Cases
- General-purpose conversational AI: Its instruction-tuned nature makes it well-suited for chatbots, virtual assistants, and interactive applications.
- Text generation: Capable of generating coherent and contextually relevant text for various applications.
- Language understanding: Can be applied to tasks requiring deep comprehension of natural language inputs.