base_model, tags, language, license, datasets

base_model	tags	language	license	datasets
N-Bot-Int/MistThena7B-V2	text-generation-inference transformers mistral rp gguf	en	apache-2.0	N-Bot-Int/Iris-Uncensored-R2 N-Bot-Int/Millie-R1_DPO N-Bot-Int/Millia-R1_DPO

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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!