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Model: Maxilicious20/Aether-2.2-Pro-GGUF
Source: Original Platform

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+aether_2_2_pro_f16.gguf filter=lfs diff=lfs merge=lfs -text
+aether_2_2_pro_q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+library_name: gguf
+tags:
+- gguf
+- llama.cpp
+- lm-studio
+- aether
+- german
+- english
+- text-generation
+license: apache-2.0
+language:
+- de
+- en
+---
+
+# Aether 2.2 Pro - GGUF
+
+Pre-quantized GGUF binaries for **Aether 2.2 Pro**.
+
+Trained with SFT (Supervised Fine-Tuning) and PEFT (LoRA) on a custom dataset using local NVIDIA RTX GPU acceleration, Aether 2.2 Pro delivers optimized performance, strong conversational capabilities, and reliable multilingual responses in German and English.
+
+> 🔗 **Looking for the Base / LoRA Adapter?**
+> If you want to use the Hugging Face Transformers PEFT adapter instead, check out the main repository:
+> 👉 **[Maxilicious20/Aether-2.2-Pro](https://huggingface.co/Maxilicious20/Aether-2.2-Pro)**
+
+---
+
+## 📦 Available Files & Quantizations
+
+Choose the right file depending on your system's VRAM/RAM and performance needs:
+
+| Filename | Quantization | Quality | Size | Description / Recommendation |
+| :--- | :--- | :--- | :--- | :--- |
+| `aether_2_2_pro_f16.gguf` | FP16 / F16 | Maximum | ~2.88 GB | Uncompressed full precision. Best quality. |
+| `aether_2_2_pro_q8_0.gguf` | Q8_0 | Very High | ~1.53 GB | Near-lossless quantization. Excellent balance of precision and speed. |
+| `aether_2_2_pro_q4_k_m.gguf` | Q4_K_M | Balanced | ~940 MB | **Recommended.** Lightweight, fast, and optimized for low VRAM/RAM setups. |
+
+---
+
+## 🚀 How to Run Locally
+
+### 1. LM Studio
+1. Open LM Studio.
+2. Search for `Maxilicious20/Aether-2.2-Pro-GGUF` or paste the repository ID.
+3. Download your preferred quantization (e.g., `aether_2_2_pro_q4_k_m.gguf`).
+4. Load the model and start chatting!
+
+### 2. Ollama / llama.cpp
+You can run the GGUF file directly using `llama.cpp`:
+```bash
+./llama-cli -m aether_2_2_pro_q4_k_m.gguf -p "Hello Aether Pro!" -n 256 

aether_2_2_pro_f16.gguf

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aether_2_2_pro_q4_k_m.gguf

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aether_2_2_pro_q8_0.gguf

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