lokeshe09/gemma-4-31B-it-SFT_OCRRRRRR
VISIONPricing:Input $0.48 / Cached $0.1 / Output $1.44Concurrent Unit Cost:2Model Size:31BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 12, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The lokeshe09/gemma-4-31B-it-SFT_OCRRRRRR is a 31 billion parameter instruction-tuned language model developed by lokeshe09, fine-tuned from unsloth/gemma-4-31B-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its large parameter count and efficient training methodology.
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Model Overview
The lokeshe09/gemma-4-31B-it-SFT_OCRRRRRR is a 31 billion parameter instruction-tuned language model, developed by lokeshe09. It is a fine-tuned version of the unsloth/gemma-4-31B-it base model, leveraging efficient training techniques to enhance performance and speed.
Key Capabilities
- Instruction Following: Designed to accurately follow and respond to a wide range of user instructions.
- Efficient Training: Achieved 2x faster training times by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
- Large Parameter Count: With 31 billion parameters, it offers substantial capacity for complex language understanding and generation tasks.
Good For
- General-purpose AI applications: Suitable for various tasks requiring robust instruction adherence.
- Developers seeking efficient models: Benefits from optimized training, potentially leading to faster iteration cycles.
- Research and experimentation: Provides a strong base for further fine-tuning or exploring instruction-tuned models.