ElaNore3-4B-GGUFF / README.md
ItsMeDevRoland's picture
Update README.md
f80c1bb verified
---
license: agpl-3.0
tags:
- unsloth
- Uncensored
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- roleplay
- conversational
- gguf
language:
- en
base_model:
- N-Bot-Int/ElaNore3-4B-merged
pipeline_tag: text-generation
metrics:
- character
---
# Support Us Through
- [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J61D8NHV)
- [https://ko-fi.com/nexusnetworkint](Official Ko-FI link!)
# GGUF Version
**GGUF** with Quants! Allowing you to run models using KoboldCPP and other AI Environments!
# Quantizations:
| Quant Type | Benefits | Cons |
|---------------|---------------------------------------------------|---------------------------------------------------|
| **Q4_K_M** | βœ… Smallest size (fastest inference) | ❌ Lowest accuracy compared to other quants |
| | βœ… Requires the least VRAM/RAM | ❌ May struggle with complex reasoning |
| | βœ… Ideal for edge devices & low-resource setups | ❌ Can produce slightly degraded text quality |
| **Q5_K_M** | βœ… Better accuracy than Q4, while still compact | ❌ Slightly larger model size than Q4 |
| | βœ… Good balance between speed and precision | ❌ Needs a bit more VRAM than Q4 |
| | βœ… Works well on mid-range GPUs | ❌ Still not as accurate as higher-bit models |
| **Q8_0** | βœ… Highest accuracy (closest to full model) | ❌ Requires significantly more VRAM/RAM |
| | βœ… Best for complex reasoning & detailed outputs | ❌ Slower inference compared to Q4 & Q5 |
| | βœ… Suitable for high-end GPUs & serious workloads | ❌ Larger file size (takes more storage) |
(PLEASE VISIT THE mradermacher/ElaNore3-4B-merged-GGUF FOR THE PROPER FULL QUANTS, THIS entry only has THE F16 precission! - [Visit Here](https://huggingface.co/mradermacher/ElaNore3-4B-merged-GGUF))
# Model Details:
Read the Model details on huggingface
[Model Detail Here!](https://huggingface.co/N-Bot-Int/ElaNore3-4B-merged)