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Maxilicious20/Aether-2.5-GGUF
Aether-2.5-GGUF is a text generation model from Maxilicious20. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
Pre-quantized GGUF binaries for Aether 2.5, scaling up to the powerful Qwen2.5-3B-Instruct base architecture.
Downloads · 30 days
187
27% of all-time downloads
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.gguf11.4 GB · 100%
From the Hugging Face model README
Pre-quantized GGUF binaries for Aether 2.5, scaling up to the powerful Qwen2.5-3B-Instruct base architecture.
Trained with SFT (Supervised Fine-Tuning) and PEFT (LoRA) on a custom 3 GB dataset using local NVIDIA RTX GPU acceleration, Aether 2.5 delivers high intelligence, robust conversational capabilities, and exceptional multilingual performance 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-2.5
Choose the right file depending on your system's VRAM/RAM and performance needs:
| Filename | Quantization | Quality | Size | Description / Recommendation |
|---|---|---|---|---|
aether_2_5_fp16.gguf | FP16 / F16 | Maximum | ~5.75 GB | Uncompressed full precision. Best quality, requires more VRAM. |
Aether-2.5-3B-Q8_0.gguf | Q8_0 | Very High | ~3.05 GB | Near-lossless quantization. Excellent balance of precision and speed. |
Aether-2.5-3B-Q4_K_M.gguf | Q4_K_M | Balanced | ~1.79 GB | Recommended. Best compromise between speed, size, and minimal quality loss. |
Maxilicious20/Aether-2.5-GGUF or paste the repo ID.Aether-2.5-3B-Q4_K_M.gguf).You can run the GGUF file directly using llama.cpp:
./llama-cli -m Aether-2.5-3B-Q4_K_M.gguf -p "Hello Aether!" -n 256