ermiaazarkhalili/Gemma4-E4B-SFT-Fable5-Glint
VISIONConcurrent Unit Cost:1Model Size:7.9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 27, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The ermiaazarkhalili/Gemma4-E4B-SFT-Fable5-Glint is a 7.9 billion parameter Gemma4-based causal language model developed by ermiaazarkhalili. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its efficient fine-tuning process for improved performance.
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Model Overview
ermiaazarkhalili/Gemma4-E4B-SFT-Fable5-Glint is a 7.9 billion parameter language model developed by ermiaazarkhalili. It is based on the Gemma4 architecture and was fine-tuned from the unsloth/gemma-4-e4b-it-unsloth-bnb-4bit model.
Key Capabilities
- Efficient Fine-tuning: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library, highlighting an optimized training approach.
- Gemma4 Architecture: Leverages the foundational capabilities of the Gemma4 model family.
Good For
- General Language Generation: Suitable for a variety of text generation tasks where a Gemma4-based model with efficient fine-tuning is beneficial.
- Research and Development: Provides a fine-tuned model for further experimentation and application development, particularly for those interested in Unsloth's training methodologies.