metadata

license: apache-2.0
datasets:
  - openerotica/mixed-rp
  - kingbri/PIPPA-shareGPT
  - flammenai/character-roleplay-DPO
language:
  - en
base_model:
  - N-Bot-Int/OpenElla3-Llama3.2B
pipeline_tag: text-generation
tags:
  - unsloth
  - Uncensored
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
  - roleplay
  - conversational

Support Us Through

[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	✅ 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)

Model Details:

Read the Model details on huggingface Model Detail Here