Downloads · 30 days
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6% of all-time downloads
N-Bot-Int/OpenElla3-Llama3.2-GGUF
OpenElla3-Llama3.2-GGUF is a text generation model from N-Bot-Int. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
- [](https://ko-fi.com/J3J61D8NHV) - https://ko-fi.com/nexusnetworkint
Downloads · 30 days
43
6% of all-time downloads
All-time downloads
707
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6.8 GB
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2
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.gguf3.4 GB · 100%
From the Hugging Face model README
<a href="https://imgbb.com/"><img src="https://raw.githubusercontent.com/ItsMeDevRoland/NexusBotWorkInteractives/refs/heads/main/1741962070023.png" alt="1741962070023" border="0"></a>
GGUF with Quants! Allowing you to run models using KoboldCPP and other AI Environments!
| Quant Type | Benefits | Cons |
|---|---|---|
| Q4_K_M | ✅ Smallest size (fastest inference) | ❌ Lowest accuracy compared to other quants |
| ✅ Requires the least VRAM/RAM | ❌ May struggle with complex reasoning | |
| ✅ Ideal for edge devices & low-resource setups | ❌ Can produce slightly degraded text quality | |
| Q5_K_M | ✅ Better accuracy than Q4, while still compact | ❌ Slightly larger model size than Q4 |
| ✅ Good balance between speed and precision | ❌ Needs a bit more VRAM than Q4 | |
| ✅ Works well on mid-range GPUs | ❌ Still not as accurate as higher-bit models | |
| Q8_0 | ✅ Highest accuracy (closest to full model) | ❌ Requires significantly more VRAM/RAM |
| ✅ Best for complex reasoning & detailed outputs | ❌ Slower inference compared to Q4 & Q5 | |
| ✅ Suitable for high-end GPUs & serious workloads | ❌ Larger file size (takes more storage) |
Read the Model details on huggingface
<link src="https://huggingface.co/N-Bot-Int/OpenElla3-Llama3.2">Model Detail Here!</link>