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gemma-4-E4B-it_GGUF
daniloreddy/gemma-4-E4B-it_GGUF
gemma-4-E4B-it_GGUF is a text generation model from daniloreddy. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
This repository provides GGUF quantized versions of the google/gemma-4-E4B-it model, optimized for local execution using llama.cpp and compatible ecosystems.
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46.1 GB
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.gguf46.1 GB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- ea931128
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Base models
Model card
From the Hugging Face model README
Gemma-4-E4B-IT - GGUF High-Quality Quantizations
This repository provides GGUF quantized versions of the google/gemma-4-E4B-it model, optimized for local execution using llama.cpp and compatible ecosystems.
📌 Version Notes
All quantizations were generated from the official FP16 weights.
- Target: Efficient execution on consumer hardware, mobile/edge devices, and systems with limited memory.
- Performance: The output quality (reasoning, coherence, and accuracy) is strictly dependent on the base model's parameter scale (1B).
📊 Quantization Table
| File | Method | Bit | Description |
|---|---|---|---|
| fp16.gguf | FP16 | 16-bit | Original Weights. No quantization applied. Maximum fidelity. |
| Q8_0.gguf | Q8_0 | 8-bit | Near-lossless. Practically identical to the original model with lower memory footprint. |
| Q5_K_M.gguf | Q5_K_M | 5-bit | High Precision. Minimizes quantization error for critical tasks. |
| Q4_K_M.gguf | Q4_K_M | 4-bit | Recommended. Best balance between speed and performance. |
| Q4_K_S.gguf | Q4_K_S | 4-bit | Fast/Small. Optimized for maximum throughput and low RAM usage. |
🛠️ Technical Details
- Quantization Date: 2026-04-05
- Tool used:
llama-quantize(llama.cpp) - Method: K-Quantization (optimized for AVX2/AVX-512 and modern GPU architectures).
🚀 How to Use
Start a local OpenAI-compatible server with a web UI:
llama.cpp (CLI) using model from HuggingFace
./llama-cli -hf daniloreddy/gemma-4-E4B-it_GGUF:Q4_K_M -p "User: Hello! Assistant:" -n 512 --temp 0.7
llama.cpp (CLI) using downloaded model
./llama-cli -m path/to/gemma-4-E4B-it_Q4_K_M.gguf -p "User: Hello! Assistant:" -n 512 --temp 0.7
llama.cpp (SERVER) using model from HuggingFace
./llama-server -hf daniloreddy/gemma-4-E4B-it_GGUF:Q4_K_M --port 8080 -c 4096
llama.cpp (SERVER) using downloaded model
./llama-server -m /path/to/gemma-4-E4B-it_Q4_K_M.gguf --port 8080 -c 4096
- Task
- Text Generation
- License
- apache-2.0
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026