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gemma4-e4b-TR
uabali/gemma4-e4b-TR
gemma4-e4b-TR is a machine learning model from uabali. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Turkish RAG-optimized GGUF version of the LoRA fine-tuned Gemma 4 E4B model.
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At a glance
- License
- apache-2.0
- Model type
- gemma4
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- ff1b806f
Base models
Datasets
Model card
From the Hugging Face model README
gemma-4-e4b-rag-TR : GGUF
Turkish RAG-optimized GGUF version of the LoRA fine-tuned Gemma 4 E4B model.
This model was fine-tuned with LoRA (QLoRA) on the Turkish RAG dataset and converted to GGUF format using Unsloth.
Model Description
- Base Model:
google/gemma-4-e4b - Fine-tuning: LoRA on Turkish RAG data
- Dataset: Metin/WikiRAG-TR
- Purpose: High-quality Turkish Retrieval-Augmented Generation (RAG)
- Context Length: 8192 tokens
Example Usage (llama.cpp)
# Text-only inference
./llama-cli -hf uabali/gemma4-e4b-rag-TR -p "Soru: ..." --jinja -c 8192
# With server (recommended for multiple users)
./llama-server -hf uabali/gemma4-e4b-rag-TR --port 8080 --cont-batching -np 6 -c 8192
- Type
- gemma4
- License
- apache-2.0
- Languages
- tr, en
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026